Open Access
Journal of Risk and Financial Management
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SCImago
Q2
SJR
0.485
CiteScore
4.5
Categories
Accounting
Business, Management and Accounting (miscellaneous)
Economics and Econometrics
Finance
Areas
Business, Management and Accounting
Economics, Econometrics and Finance
Years of issue
2019-2025
journal names
Journal of Risk and Financial Management
Top-3 citing journals

Journal of Risk and Financial Management
(1662 citations)

Sustainability
(1082 citations)

SSRN Electronic Journal
(431 citations)
Top-3 organizations

University of Sydney
(43 publications)

University of Johannesburg
(37 publications)

Symbiosis International University
(32 publications)

University of Johannesburg
(34 publications)

Symbiosis International University
(29 publications)

University of Auckland
(26 publications)
Top-3 countries
Most cited in 5 years
Found
Publications found: 70
Q3
An Integrated Two-Factor Authentication Scheme for Smart Communications and Control Systems
Nguyen N., Bui V., Hoang T.
Fast and reliable authentication is a crucial requirement of communications networks and has various research challenges in an Internet of Things (IoT) environment. In IoT-based applications, as fast and user-friendly access and high security are required simultaneously, biometric identification of the user, such as the face, iris, or fingerprint, is broadly employed as an authentication approach. Moreover, a so-called multi-factor authentication that combines user identification with other identification information, including token information and device identity, is usedto enhance the authentication security level. This paper proposes a novel twofactor authentication scheme for intelligent communication and control systems by utilizing the watermarking technique to incorporate the mobile device authentication component into the user’s facial recognition image. Our proposed scheme offers user-friendliness while improving user security and privacy and reducing authentication information exchange procedures to provide a secure and lightweight schema in real applications. The proposed scheme’s security advantages are validated using the widely accepted Burrows–Abadi–Needham (BAN) logic and experimentally assessed using the Automated Validation of Internet Security Protocols and Applications (AVISPA) simulator tool. Finally, our experimental results show that the proposed authentication scheme is an innovative solution for a smarthome control system, such as a smart lock door operation.
Q3
A Study on Heuristic Algorithms Combined With LR on a DNN-Based IDS Model to Detect IoT Attacks
Minh H.T., Duc N.H., Thuan L.D., Thuy T.T.
Current security challenges are made more difficult by the complexity and difficulty of spotting cyberattacks due to the Internet of Things explosive growth in connected devices and apps. Therefore, various sophisticated attack detection techniques have been created to address these issues in recent years. Due to their effectiveness and scalability, machine learning-based intrusion detection systems (IDSs) have increased. However, several factors, such as the characteristics of the training dataset and the training model, affect how well these AI-based systems identify attacks. In particular, the heuristic algorithms (GA, PSO, CSO, FA) optimized by the logistic regression (LR) approach employ it to pick critical features of a dataset and deal with data imbalance problems. This study offers an intrusion detection system (IDS) based on a deep neural network and heuristic algorithms combined with LR to boost the accuracy of attack detections. Our proposed model has a high attack detection rate of up to 99% when testing on the IoT-23 dataset.
Q3
USTW Vs. STW: A Comparative Analysis for Exam Question Classification based on Bloom’s Taxonomy
Fui Y.T., Sangodiah A., Ayyasamy R.K., Gani M.O.
Bloom’s Taxonomy (BT) is widely used in educational institutions to produce high-quality exam papers to evaluate students’ knowledge at different cognitive levels. However, manual question labeling takes a long time, and not all evaluators are familiar with BT. The researchers worked to automate the exam question classification process based on BT as a solution. Enhancement in term weighting is one of the ways to increase classification accuracy while working with text data. However, all the past work on the term weighting in exam question classification focused on unsupervised term weighting (USTW) schemes. The supervised term weighting (STW) schemes showed effectiveness in text classification but were not addressed in past studies of exam question classification. As a result, this study focused on the effectiveness of STW in classifying exam questions using BT. Hence, this research performed a comparative analysis between the USTW schemes and STW for exam question classification. The STW schemes used in this study are TF-ICF, TF-IDF-ICF, and TF-IDF-ICSDF, whereas the USTW schemes used for comparison are TF-IDF, ETF-IDF, and TFPOS-IDF. This study used Support Vector Machines (SVM), Na¨ıve Bayes (NB), and Multilayer Perceptron (MLP) to train the model. Accuracy and F1 score were used in this study to evaluate the classification result. The experiment result showed that overall, the STW scheme TF-ICF outperformed all the other schemes, followed by the USTW scheme ETF-IDF. Both the ETF-IDF and TFPOS-IDF outperformed standard TFIDF. The outcome of this study indicates the future research direction where the combination of STW and USTW schemes may increase the Accuracy of BT-based exam question classification.
Q3
A Novel Light-Weight DCNN Model for Classifying Plant Diseases on Internet of Things Edge Devices
Nhan V.N., Anh T.P., Minh H.T.
One of the essential aspects of smart farming and precision agriculture is quickly and accurately identifying diseases. Utilizing plant imaging and recently developed machine learning algorithms, the timely detection of diseases provides many benefits to farmers regarding crop and product quality. Specifically, for farmers in remote areas, disease diagnostics on edge devices is the most effective and optimal method to handle crop damage as quickly as possible. However, the limitations posed by the equipment’s limited resources have reduced the accuracy of disease detection. Consequently, adopting an efficient machine-learning model and decreasing the model size to fit the edge device is an exciting problem that receives significant attention from researchers and developers. This work takes advantage of previous research on deep learning model performance evaluation to present a model that applies to both the Plant-Village laboratory dataset and the Plant-Doc natural-type dataset. The evaluation results indicate that the proposed model is as effective as the current state-of-the-art model. Moreover, due to the quantization technique, the system performance stays the same when the model size is reduced to accommodate the edge device.
Q3
Meta-Heuristics Based Inverse Kinematics of Robot Manipulator’s Path Tracking Capability Under Joint Limits
Yu V.F., Sheik Masthan S., Kanagaraj G.
In robot-assisted manufacturing or assembly, following a predefined path became a critical aspect. In general, inverse kinematics offers the solution to control the movement of manipulator while following the trajectory. The main problem with the inverse kinematics approach is that inverse kinematics are computationally complex. For a redundant manipulator, this complexity is further increased. Instead of employing inverse kinematics, the complexity can be reduced by using a heuristic algorithm. Therefore, a heuristic-based approach can be used to solve the inverse kinematics of the robot manipulator end effector, guaranteeing that the desired paths are accurately followed. This paper compares the performance of four such heuristic-based approaches to solving the inverse kinematics problem. They are Bat Algorithm (BAT), Gravitational Search Algorithm (GSA), Particle Swarm Optimization (PSO), and Whale Optimization Algorithm (WOA). The performance of these algorithms is evaluated based on their ability to accurately follow a predefined trajectory. Extensive simulations show that BAT and GSA outperform PSO and WOA in all aspects considered in this work related to inverse kinematic problems.
Q3
Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks
Puig D., Rashwan H., Abdel-Nasser M., Romani S., Schwarz Schuler J.P.
In DCNNs, the number of parameters in pointwise convolutions rapidly grows due to the multiplication of the number of filters by the number of input channels that come from the previous layer. Our proposal makes pointwise convolutions parameter efficient via grouping filters into parallel branches or groups, where each branch processes a fraction of the input channels. However, by doing so, the learning capability of the DCNN is degraded. To avoid this effect, we suggest interleaving the output of filters from different branches at intermediate layers of consecutive pointwise convolutions. We applied our improvement to the EfficientNet, DenseNet-BC L100, MobileNet and MobileNet V3 Large architectures. We trained these architectures with the CIFAR-10, CIFAR-100, Cropped-PlantDoc and The Oxford-IIIT Pet datasets. When training from scratch, we obtained similar test accuracies to the original EfficientNet and MobileNet V3 Large architectures while saving up to 90% of the parameters and 63% of the flops.
Q3
Identifying Optimal Baseline Variant of Unsupervised Term Weighting in Question Classification Based on Bloom Taxonomy
A Jalil N., Ayyasamy R.K., Ean Heng L., Tien Fui Y., Jee San T., Sangodiah A.
Examination is one of the common ways to evaluate the students’ cognitive levels in higher education institutions. Exam questions are labeled manually by educators in accordance with Bloom’s taxonomy cognitive domain. To ease the burden of the educators, several past research works have proposed the automated question classification based on Bloom’s taxonomy using the machine learning technique. Feature selection, feature extraction and term weighting are common ways to improve the accuracy of question classification. Commonly used term weighting method in the past work is unsupervised namely TF and TF-IDF. There are several variants of TF and TFIDF and the most optimal variant has yet to be identified in the context of question classification based on BT. Therefore, this paper aims to study the TF, TF-IDF and normalized TF-IDF variants and identify the optimal variant that can enhance the exam question classification accuracy. To investigate the variants two different classifiers were used, which are Support Vector Machine (SVM) and Naïve Bayes. The average accuracies achieved by TF-IDF and normalized TF-IDF variants using SVM classifier were 64.3% and 72.4% respectively, while using Naïve Bayes classifier the average accuracies for TF-IDF and normalized TF-IDF were 61.9% and 63.0% respectively. Generally, the normalized TF-IDF variants outperformed TF and TF-IDF variants in accuracy and F1-measure respectively. Further statistical analysis using t-test and Wilcoxon Signed also shows that the differences in accuracy between normalized TF-IDF and TF, TF-IDF are significant. The findings from this study show that the Normalized TF-IDF3 variant recorded the highest accuracy of 74.0% among normalized TF-IDF variants. Also, the differences in accuracy between Normalized TF-IDF3 and other normalized variants are generally significant, thus the optimal variant is Normalized TF-IDF3. Therefore, the normalized TF-IDF3 variant is important for benchmarking purposes, which can be used to compare with other term weighting techniques in future work.
Q3
Neuro-Evolution of Continuous-Time Dynamic Process Controllers
Zúbek F., Kénický I., Sekaj I.
Artificial neural networks are means which are, among several other approaches, effectively usable for modelling and control of non-linear dynamic systems. In case of modelling systems input and output signals are a-priori known, supervised learning methods can be used. But in case of controller design of dynamic systems the required (optimal) controller output is a-priori unknown, supervised learning cannot be used. In such case we only can define some criterion function, which represents the required control performance of the closed-loop system. We present a neuro-evolution design for control of a continuous-time controller of non-linear dynamic systems. The controller is represented by an MLP-type artificial neural network. The learning algorithm of the neural network is based on an evolutionary approach with genetic algorithm. An integral-type performance index representing control quality, which is based on closed-loop simulation, is minimised. The results are demonstrated on selected experiments with controller reference value changes as well as with noisy system outputs.
Q3
Hybrid Formation Control for Multi-Robot Hunters Based on Multi-Agent Deep Deterministic Policy Gradient
Hamlich M., Hamed O.
The cooperation between mobile robots is one of the most important topics of interest to researchers, especially in the many areas in which it can be applied. Hunting a moving target with random behavior is an application that requires robust cooperation between several robots in the multi-robot system. This paper proposed a hybrid formation control for hunting a dynamic target which is based on wolves’ hunting behavior in order to search and capture the prey quickly and avoid its escape and Multi Agent Deep Deterministic Policy Gradient (MADDPG) to plan an optimal accessible path to the desired position. The validity and the effectiveness of the proposed formation control are demonstrated with simulation results.
Q3
Advances in Evolutionary Optimization of Quantum Operators
Bidlo M., Žufan P.
A comparative study is presented regarding the evolutionary design of quantum operators in the form of unitary matrices.A comparative study is presented regarding the evolutionary design of quantum operators in the form of unitary matrices. Three existing techniques (representations) which allow generating unitary matrices are used in various evolutionary algorithms in order to optimize their coefficients. The objective is to obtain as precise quantum operators (the resulting unitary matrices) as possible for given quantum transformations. Ordinary evolution strategy, self-adaptive evolution strategy and differential evolution are applied with various settings as the optimization algorithms for the quantum operators. These algorithms are evaluated on the tasks of designing quantum operators for the 3-qubit and 4-qubit maximum amplitude detector and a solver of a logic function of three variables in conjunctive normal form. These tasks require unitary matrices of various sizes. It will be demonstrated that the self-adaptive evolution strategy and differential evolution are able to produce remarkably better results than the ordinary evolution strategy. Moreover, the results can be improved by selecting a proper settings for the evolution as presented by a comparative evaluation.
Q3
CCGraMi: An Effective Method for Mining Frequent Subgraphs in a Single Large Graph
Diep Q.B., Zelinka I., Nguyen L.B.
In modern applications, large graphs are usually applied in the simulation and analysis of large complex systems such as social networks, computer networks, maps, traffic networks. Therefore, graph mining is also an interesting subject attracting many researchers. Among them, frequent subgraph mining in a single large graph is one of the most important branches of graph mining, it is defined as finding all subgraphs whose occurrences in a dataset are greater than or equal to a given frequency threshold. In which, the GraMi algorithm is considered the state of the art approach and many algorithms have been proposed to improve this algorithm. In 2020, the SoGraMi algorithm was proposed to optimize the GraMi algorithm and presented an outstanding performance in terms of runtime and storage space. In this paper, we propose a new algorithm to improve SoGraMi based on connected components, called CCGraMi (Connected Components GraMi). Our experiments on four real datasets (both directed and undirected) show that the proposed algorithm outperforms SoGraMi in terms of running time as well as memory requirements.
Q3
Improving Breast Cancer Classification using (SMOTE) Technique and Pectoral Muscle Removal in Mammographic Images
Veisi H., Sagheer A.M., Abdulla S.H.
Computer-aided diagnosis methods are being developed to assist radiologists to improve the interpretation of mammograms for the detection and diagnose of breast cancer, reduce the errors and mistakes made by human beings. In addition, it provides a more accurate and reliable classification of benign and malignant abnormalities. In the mammogram diagnosis, the pectoral muscle appears in Mediolateral oblique views (MLO) of the right and left of the breast. Considering that, the pectoral muscle has the same density as the small suspicious masses in the image and can affect/bias the results of image processing methods. This paper presents a diagnosis method to detect an abnormality in mammograms automatically. Before abnormality identification, image-processing techniques are used to correctly segment the suspicious region-of-interest (ROI). The background of the mammograms has been darkened to distinguish the breast area from any blemishes or writings that will be removed. Then the breast area has been extracted after ignoring the empty regions around the breast in mammogram images. After that, the mammogram image is inverted and the inverted image is then subtracted from the initial image. For pectoral muscle removal, a region growing method using the K-means clustering method is used. Afterward, suspicious ROI is segmented utilizing the K-means with thresholding technique. To detect abnormalities in mammograms, shape-based features, moment invariants, and also fractal dimensions are extracted from the segmented ROI. The Mini-MIAS dataset is used to evaluate the proposed method and is predominately composed of benign samples with only a tiny percent of malignant samples. To accomplish far better classifier efficiency, the SMOTE algorithm is used to present new samples from the minority classes to get a balanced dataset. Random forest classifier utilized to classify the segmented region as benign and malignant. The experimental results obtained an accuracy of 97.1%, the sensitivity of 95.1%, and the achieved specificity is 98.5%.
Q3
Relation of Neighborhood Size and Diversity Loss Rate in Particle Swarm Optimization With Ring Topology
Senkerik R., Viktorin A., Kadavy T., Kazikova A., Pluháček M.
Measuring the population diversity in metaheuristics has become a common practice for adaptive approaches, aiming mainly to address the issue of premature convergence. Understanding the processes leading to a diversity loss in a metaheuristic algorithm is crucial for designing successful adaptive approaches. In this study, we focus on the relation of the neighborhood size and the rate of diversity loss in the Particle Swarm Optimization algorithm with local topology (also known as LPSO). We argue that the neighborhood size is an important input to consider when designing any adaptive approach based on the change of population diversity. We used the extensive benchmark suite of the IEEE CEC 2014 competition for experiments.
Q3
Robotic Automation of Software Testing From a Machine Learning Viewpoint
Kominkova Oplatkova Z., Senkerik R., Botchway R.K., Yadav V.
The need to scale software test automation while managing the test automation process within a reasonable time frame remains a crucial challenge for software development teams (DevOps). Unlike hardware, the software cannot wear out but can fail to satisfy the functional requirements it is supposed to meet due to the defects observed during system operation. In this era of big data, DevOps teams can deliver better and efficient code by utilizing machine learning (ML) to scan their new codes and identify test coverage gaps. While still in its infancy, the inclusion of ML in software testing is a reality and requirement for coming industry demands. This study introduces the prospects of robot testing and machine learning to manage the test automation process to guarantee software reliability and quality within a reasonable timeframe. Although this paper does not provide any particular demonstration of ML-based technique and numerical results from ML-based algorithms, it describes the motivation, possibilities, tools, components, and examples required for understanding and implementing the robot test automation process approach.
Q3
A Systematic Review and Analysis on Deep Learning Techniques Used in Diagnosis of Various Categories of Lung Diseases
Dutta S.R., Vangipuram R., Jasthy S.
One of the record killers in the world is lung disease. Lung disease denotes to many disorders affecting the lungs. These diseases can be identified through Chest X- Ray, Computed Tomography CT, Ultrasound tests. This study provides a systematic review on different types of Deep Learning (DL) designs, methods, techniques used by different researchers in diagnosing COVID-19, Pneumonia, Tuberculosis, Lung tumor, etc. In the present research study, a systematic review and analysis is carried by following PRISMA research methodology. For this study, more than 900 research articles are considered from various indexing sources such as Scopus and Web of Science. After several selection steps, finally a 40 quality research articles are included for detailed analysis. From this study, it is observed that majority of the research articles focused on DL techniques with Chest X-Ray images and few articles focused on CT scan images and very few have focused on Ultrasound images to identify the lung disease
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American Real Estate Society
7 citations, 0.03%
|
|
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)
7 citations, 0.03%
|
|
Hans Publishers
7 citations, 0.03%
|
|
Institution of Engineering and Technology (IET)
6 citations, 0.03%
|
|
6 citations, 0.03%
|
|
Pensoft Publishers
6 citations, 0.03%
|
|
Kiel Institute for the World Economy
6 citations, 0.03%
|
|
American Society of Civil Engineers (ASCE)
6 citations, 0.03%
|
|
Pamukkale Universitesi Sosyal Bilimler Enstitusu Dergisi
6 citations, 0.03%
|
|
AMO Publisher
6 citations, 0.03%
|
|
Bentham Science Publishers Ltd.
5 citations, 0.02%
|
|
Pleiades Publishing
5 citations, 0.02%
|
|
The Royal Society
5 citations, 0.02%
|
|
Institute of Mathematical Statistics
5 citations, 0.02%
|
|
University of Warsaw
5 citations, 0.02%
|
|
The Korean Statistical Society
5 citations, 0.02%
|
|
SVKM'S Narsee Monjee Institute of Management Studies (NMIMS), Deem-to-be-University, Hyderabad
5 citations, 0.02%
|
|
Ovid Technologies (Wolters Kluwer Health)
4 citations, 0.02%
|
|
IWA Publishing
4 citations, 0.02%
|
|
School of Economics and Business in Sarajevo
4 citations, 0.02%
|
|
Universitas Pendidikan Indonesia
4 citations, 0.02%
|
|
Society of Petroleum Engineers
4 citations, 0.02%
|
|
Fakulteta za Organizacijske Vede, Univerza v Mariboru
4 citations, 0.02%
|
|
Academic Journals
4 citations, 0.02%
|
|
BMJ
4 citations, 0.02%
|
|
Infra-M Academic Publishing House
4 citations, 0.02%
|
|
ABEI Journal
4 citations, 0.02%
|
|
Faculty of Economics, Lomonosov Moscow State University
4 citations, 0.02%
|
|
Prague University of Economics and Business
4 citations, 0.02%
|
|
Begell House
3 citations, 0.01%
|
|
Taras Shevchenko National University of Kyiv
3 citations, 0.01%
|
|
Korea Distribution Science Association (KODISA)
3 citations, 0.01%
|
|
Index Copernicus
3 citations, 0.01%
|
|
Editura ASE Bucuresti
3 citations, 0.01%
|
|
American Physical Society (APS)
3 citations, 0.01%
|
|
Alexandru Ioan Cuza - University of Iasi
3 citations, 0.01%
|
|
Eurasian Society of Educational Research
3 citations, 0.01%
|
|
Akademiai Kiado
3 citations, 0.01%
|
|
SPIE-Intl Soc Optical Eng
3 citations, 0.01%
|
|
Publishing House Science
3 citations, 0.01%
|
|
Stowarzyszenie Menedzerow Jakosci i Produkcji
3 citations, 0.01%
|
|
Cognizant, LLC
3 citations, 0.01%
|
|
Sosyoekonomi
3 citations, 0.01%
|
|
Moscow University Press
3 citations, 0.01%
|
|
Yonetim ve Ekonomi
3 citations, 0.01%
|
|
Universidade Federal de São Carlos
3 citations, 0.01%
|
|
Nevsehir Haci Bektas Veli Universitesi SBE Dergisi
3 citations, 0.01%
|
|
Show all (70 more) | |
1000
2000
3000
4000
5000
6000
|
Publishing organizations
5
10
15
20
25
30
35
40
45
|
|
University of Sydney
43 publications, 1.34%
|
|
University of Johannesburg
37 publications, 1.15%
|
|
Symbiosis International University
32 publications, 1%
|
|
University of Auckland
27 publications, 0.84%
|
|
King Faisal University
25 publications, 0.78%
|
|
Hungarian University of Agriculture and Life Sciences
25 publications, 0.78%
|
|
Asia University
23 publications, 0.72%
|
|
Erasmus University Rotterdam
23 publications, 0.72%
|
|
Texas Tech University
23 publications, 0.72%
|
|
University of Thessaly
21 publications, 0.65%
|
|
Universidad Complutense de Madrid
20 publications, 0.62%
|
|
University of Guelph
20 publications, 0.62%
|
|
Al Ain University
19 publications, 0.59%
|
|
University of South Africa
19 publications, 0.59%
|
|
Hong Kong Baptist University
19 publications, 0.59%
|
|
University of Aveiro
19 publications, 0.59%
|
|
COMSATS University Islamabad
18 publications, 0.56%
|
|
Texas A&M University – Corpus Christi
18 publications, 0.56%
|
|
Texas A&M University
18 publications, 0.56%
|
|
University of Portsmouth
18 publications, 0.56%
|
|
University of Malta
18 publications, 0.56%
|
|
Polytechnic Institute of Porto
18 publications, 0.56%
|
|
Ho Chi Minh City Open University
17 publications, 0.53%
|
|
Norwegian University of Science and Technology
17 publications, 0.53%
|
|
Lincoln University
17 publications, 0.53%
|
|
La Trobe University
17 publications, 0.53%
|
|
University of Pretoria
17 publications, 0.53%
|
|
Kobe University
17 publications, 0.53%
|
|
Babes-Bolyai University
17 publications, 0.53%
|
|
Ferdowsi University of Mashhad
16 publications, 0.5%
|
|
Edith Cowan University
16 publications, 0.5%
|
|
Western University
16 publications, 0.5%
|
|
National Economics University
15 publications, 0.47%
|
|
University of Lisbon
15 publications, 0.47%
|
|
Griffith University
15 publications, 0.47%
|
|
National and Kapodistrian University of Athens
14 publications, 0.44%
|
|
Fordham University
14 publications, 0.44%
|
|
Nova Southeastern University
14 publications, 0.44%
|
|
European University Cyprus
13 publications, 0.41%
|
|
University of Malaya
13 publications, 0.41%
|
|
The MARA Technological University
13 publications, 0.41%
|
|
ZHAW Zurich University of Applied Sciences
13 publications, 0.41%
|
|
University of Piraeus
13 publications, 0.41%
|
|
University of Sfax
13 publications, 0.41%
|
|
University of Latvia
13 publications, 0.41%
|
|
King Abdulaziz University
12 publications, 0.37%
|
|
University of New South Wales
12 publications, 0.37%
|
|
Western Sydney University
12 publications, 0.37%
|
|
University of Oxford
12 publications, 0.37%
|
|
Beirut Arab University
12 publications, 0.37%
|
|
University of Manchester
12 publications, 0.37%
|
|
Massey University
12 publications, 0.37%
|
|
Auckland University of Technology
12 publications, 0.37%
|
|
University of Canberra
12 publications, 0.37%
|
|
Changwon National University
12 publications, 0.37%
|
|
Yokohama National University
12 publications, 0.37%
|
|
University of Beira Interior
12 publications, 0.37%
|
|
University of Tehran
11 publications, 0.34%
|
|
Royal Melbourne Institute of Technology
11 publications, 0.34%
|
|
University of the Free State
11 publications, 0.34%
|
|
George Mason University
11 publications, 0.34%
|
|
University of Žilina
11 publications, 0.34%
|
|
University of Economics in Katowice
11 publications, 0.34%
|
|
Lomonosov Moscow State University
10 publications, 0.31%
|
|
Imam Mohammad Ibn Saud Islamic University
10 publications, 0.31%
|
|
Sapienza University of Rome
10 publications, 0.31%
|
|
University of Cambridge
10 publications, 0.31%
|
|
McMaster University
10 publications, 0.31%
|
|
Poznań University of Economics and Business
10 publications, 0.31%
|
|
University of Sousse
10 publications, 0.31%
|
|
University of São Paulo
10 publications, 0.31%
|
|
National Research University Higher School of Economics
9 publications, 0.28%
|
|
Higher Colleges of Technology
9 publications, 0.28%
|
|
Australian National University
9 publications, 0.28%
|
|
Johns Hopkins University
9 publications, 0.28%
|
|
Chitkara University
9 publications, 0.28%
|
|
North-West University
9 publications, 0.28%
|
|
Hang Seng University of Hong Kong
9 publications, 0.28%
|
|
New York University
9 publications, 0.28%
|
|
Saitama University
9 publications, 0.28%
|
|
York University
9 publications, 0.28%
|
|
Toronto Metropolitan University
9 publications, 0.28%
|
|
University of Rijeka
9 publications, 0.28%
|
|
Augusta University
9 publications, 0.28%
|
|
Financial University under the Government of the Russian Federation
8 publications, 0.25%
|
|
University of Sharjah
8 publications, 0.25%
|
|
Zayed University
8 publications, 0.25%
|
|
RMIT Vietnam
8 publications, 0.25%
|
|
Gulf University for Science and Technology
8 publications, 0.25%
|
|
University of Technology, Malaysia
8 publications, 0.25%
|
|
University of Jordan
8 publications, 0.25%
|
|
Brunel University London
8 publications, 0.25%
|
|
University of Vaasa
8 publications, 0.25%
|
|
University of Padua
8 publications, 0.25%
|
|
London School of Economics and Political Science
8 publications, 0.25%
|
|
Stony Brook University
8 publications, 0.25%
|
|
National Tsing Hua University
8 publications, 0.25%
|
|
Curtin University
8 publications, 0.25%
|
|
American University in Cairo
8 publications, 0.25%
|
|
Chinese University of Hong Kong
8 publications, 0.25%
|
|
Show all (70 more) | |
5
10
15
20
25
30
35
40
45
|
Publishing organizations in 5 years
5
10
15
20
25
30
35
|
|
University of Johannesburg
34 publications, 1.2%
|
|
Symbiosis International University
29 publications, 1.03%
|
|
University of Auckland
26 publications, 0.92%
|
|
King Faisal University
25 publications, 0.88%
|
|
Hungarian University of Agriculture and Life Sciences
25 publications, 0.88%
|
|
University of Sydney
24 publications, 0.85%
|
|
Texas Tech University
22 publications, 0.78%
|
|
Al Ain University
19 publications, 0.67%
|
|
University of South Africa
19 publications, 0.67%
|
|
Texas A&M University – Corpus Christi
18 publications, 0.64%
|
|
University of Portsmouth
18 publications, 0.64%
|
|
Babes-Bolyai University
17 publications, 0.6%
|
|
University of Malta
17 publications, 0.6%
|
|
University of Aveiro
17 publications, 0.6%
|
|
Ferdowsi University of Mashhad
16 publications, 0.57%
|
|
Lincoln University
16 publications, 0.57%
|
|
University of Lisbon
15 publications, 0.53%
|
|
Norwegian University of Science and Technology
15 publications, 0.53%
|
|
La Trobe University
15 publications, 0.53%
|
|
University of Pretoria
15 publications, 0.53%
|
|
University of Thessaly
15 publications, 0.53%
|
|
National Economics University
14 publications, 0.5%
|
|
Asia University
14 publications, 0.5%
|
|
Nova Southeastern University
14 publications, 0.5%
|
|
Griffith University
13 publications, 0.46%
|
|
Hong Kong Baptist University
13 publications, 0.46%
|
|
University of Piraeus
13 publications, 0.46%
|
|
University of Guelph
13 publications, 0.46%
|
|
Texas A&M University
13 publications, 0.46%
|
|
University of Latvia
13 publications, 0.46%
|
|
Polytechnic Institute of Porto
13 publications, 0.46%
|
|
University of Malaya
12 publications, 0.42%
|
|
The MARA Technological University
12 publications, 0.42%
|
|
Beirut Arab University
12 publications, 0.42%
|
|
Edith Cowan University
12 publications, 0.42%
|
|
Changwon National University
12 publications, 0.42%
|
|
National and Kapodistrian University of Athens
12 publications, 0.42%
|
|
University of Tehran
11 publications, 0.39%
|
|
University of New South Wales
11 publications, 0.39%
|
|
Western Sydney University
11 publications, 0.39%
|
|
Massey University
11 publications, 0.39%
|
|
University of the Free State
11 publications, 0.39%
|
|
University of Beira Interior
11 publications, 0.39%
|
|
University of Sfax
11 publications, 0.39%
|
|
Western University
11 publications, 0.39%
|
|
University of Žilina
11 publications, 0.39%
|
|
University of Economics in Katowice
11 publications, 0.39%
|
|
Lomonosov Moscow State University
10 publications, 0.35%
|
|
King Abdulaziz University
10 publications, 0.35%
|
|
ZHAW Zurich University of Applied Sciences
10 publications, 0.35%
|
|
Auckland University of Technology
10 publications, 0.35%
|
|
George Mason University
10 publications, 0.35%
|
|
National Research University Higher School of Economics
9 publications, 0.32%
|
|
Imam Mohammad Ibn Saud Islamic University
9 publications, 0.32%
|
|
Higher Colleges of Technology
9 publications, 0.32%
|
|
Australian National University
9 publications, 0.32%
|
|
Royal Melbourne Institute of Technology
9 publications, 0.32%
|
|
Chitkara University
9 publications, 0.32%
|
|
University of Canberra
9 publications, 0.32%
|
|
North-West University
9 publications, 0.32%
|
|
Saitama University
9 publications, 0.32%
|
|
University of Sousse
9 publications, 0.32%
|
|
Toronto Metropolitan University
9 publications, 0.32%
|
|
University of Rijeka
9 publications, 0.32%
|
|
Financial University under the Government of the Russian Federation
8 publications, 0.28%
|
|
University of Sharjah
8 publications, 0.28%
|
|
Zayed University
8 publications, 0.28%
|
|
COMSATS University Islamabad
8 publications, 0.28%
|
|
RMIT Vietnam
8 publications, 0.28%
|
|
European University Cyprus
8 publications, 0.28%
|
|
Gulf University for Science and Technology
8 publications, 0.28%
|
|
University of Jordan
8 publications, 0.28%
|
|
Sapienza University of Rome
8 publications, 0.28%
|
|
University of Oxford
8 publications, 0.28%
|
|
University of Cambridge
8 publications, 0.28%
|
|
University of Vaasa
8 publications, 0.28%
|
|
American University in Cairo
8 publications, 0.28%
|
|
Hang Seng University of Hong Kong
8 publications, 0.28%
|
|
New York University
8 publications, 0.28%
|
|
National Technical University of Athens
8 publications, 0.28%
|
|
Poznań University of Economics and Business
8 publications, 0.28%
|
|
Fordham University
8 publications, 0.28%
|
|
Universidad Complutense de Madrid
8 publications, 0.28%
|
|
University of Toronto
8 publications, 0.28%
|
|
University of Leicester
8 publications, 0.28%
|
|
University of Primorska
8 publications, 0.28%
|
|
Augusta University
8 publications, 0.28%
|
|
Saint Petersburg State University
7 publications, 0.25%
|
|
Air University
7 publications, 0.25%
|
|
Christ University
7 publications, 0.25%
|
|
Beijing Institute of Technology
7 publications, 0.25%
|
|
Amity University, Noida
7 publications, 0.25%
|
|
Xi'an Jiaotong University
7 publications, 0.25%
|
|
University of Technology, Malaysia
7 publications, 0.25%
|
|
Sidi Mohamed Ben Abdellah University
7 publications, 0.25%
|
|
Middle East University
7 publications, 0.25%
|
|
American University of Beirut
7 publications, 0.25%
|
|
Brunel University London
7 publications, 0.25%
|
|
University of Cagliari
7 publications, 0.25%
|
|
London School of Economics and Political Science
7 publications, 0.25%
|
|
Show all (70 more) | |
5
10
15
20
25
30
35
|
Publishing countries
100
200
300
400
500
600
|
|
USA
|
USA, 600, 18.71%
USA
600 publications, 18.71%
|
China
|
China, 277, 8.64%
China
277 publications, 8.64%
|
United Kingdom
|
United Kingdom, 238, 7.42%
United Kingdom
238 publications, 7.42%
|
Australia
|
Australia, 201, 6.27%
Australia
201 publications, 6.27%
|
India
|
India, 174, 5.43%
India
174 publications, 5.43%
|
Canada
|
Canada, 147, 4.58%
Canada
147 publications, 4.58%
|
South Africa
|
South Africa, 110, 3.43%
South Africa
110 publications, 3.43%
|
Germany
|
Germany, 109, 3.4%
Germany
109 publications, 3.4%
|
Italy
|
Italy, 109, 3.4%
Italy
109 publications, 3.4%
|
Romania
|
Romania, 103, 3.21%
Romania
103 publications, 3.21%
|
Japan
|
Japan, 97, 3.02%
Japan
97 publications, 3.02%
|
Vietnam
|
Vietnam, 95, 2.96%
Vietnam
95 publications, 2.96%
|
Greece
|
Greece, 95, 2.96%
Greece
95 publications, 2.96%
|
Poland
|
Poland, 94, 2.93%
Poland
94 publications, 2.93%
|
Portugal
|
Portugal, 90, 2.81%
Portugal
90 publications, 2.81%
|
Saudi Arabia
|
Saudi Arabia, 85, 2.65%
Saudi Arabia
85 publications, 2.65%
|
Malaysia
|
Malaysia, 80, 2.49%
Malaysia
80 publications, 2.49%
|
New Zealand
|
New Zealand, 79, 2.46%
New Zealand
79 publications, 2.46%
|
Spain
|
Spain, 74, 2.31%
Spain
74 publications, 2.31%
|
Pakistan
|
Pakistan, 72, 2.25%
Pakistan
72 publications, 2.25%
|
Russia
|
Russia, 70, 2.18%
Russia
70 publications, 2.18%
|
France
|
France, 60, 1.87%
France
60 publications, 1.87%
|
UAE
|
UAE, 58, 1.81%
UAE
58 publications, 1.81%
|
Switzerland
|
Switzerland, 54, 1.68%
Switzerland
54 publications, 1.68%
|
Indonesia
|
Indonesia, 53, 1.65%
Indonesia
53 publications, 1.65%
|
Republic of Korea
|
Republic of Korea, 51, 1.59%
Republic of Korea
51 publications, 1.59%
|
Netherlands
|
Netherlands, 49, 1.53%
Netherlands
49 publications, 1.53%
|
Turkey
|
Turkey, 46, 1.43%
Turkey
46 publications, 1.43%
|
Iran
|
Iran, 43, 1.34%
Iran
43 publications, 1.34%
|
Hungary
|
Hungary, 42, 1.31%
Hungary
42 publications, 1.31%
|
Egypt
|
Egypt, 41, 1.28%
Egypt
41 publications, 1.28%
|
Norway
|
Norway, 40, 1.25%
Norway
40 publications, 1.25%
|
Croatia
|
Croatia, 36, 1.12%
Croatia
36 publications, 1.12%
|
Czech Republic
|
Czech Republic, 36, 1.12%
Czech Republic
36 publications, 1.12%
|
Ukraine
|
Ukraine, 35, 1.09%
Ukraine
35 publications, 1.09%
|
Slovakia
|
Slovakia, 35, 1.09%
Slovakia
35 publications, 1.09%
|
Bangladesh
|
Bangladesh, 32, 1%
Bangladesh
32 publications, 1%
|
Jordan
|
Jordan, 32, 1%
Jordan
32 publications, 1%
|
Latvia
|
Latvia, 32, 1%
Latvia
32 publications, 1%
|
Thailand
|
Thailand, 31, 0.97%
Thailand
31 publications, 0.97%
|
Tunisia
|
Tunisia, 30, 0.94%
Tunisia
30 publications, 0.94%
|
Brazil
|
Brazil, 28, 0.87%
Brazil
28 publications, 0.87%
|
Belgium
|
Belgium, 25, 0.78%
Belgium
25 publications, 0.78%
|
Lebanon
|
Lebanon, 24, 0.75%
Lebanon
24 publications, 0.75%
|
Cyprus
|
Cyprus, 22, 0.69%
Cyprus
22 publications, 0.69%
|
Finland
|
Finland, 22, 0.69%
Finland
22 publications, 0.69%
|
Sweden
|
Sweden, 22, 0.69%
Sweden
22 publications, 0.69%
|
Mexico
|
Mexico, 20, 0.62%
Mexico
20 publications, 0.62%
|
Israel
|
Israel, 18, 0.56%
Israel
18 publications, 0.56%
|
Malta
|
Malta, 18, 0.56%
Malta
18 publications, 0.56%
|
Morocco
|
Morocco, 17, 0.53%
Morocco
17 publications, 0.53%
|
Nigeria
|
Nigeria, 17, 0.53%
Nigeria
17 publications, 0.53%
|
Estonia
|
Estonia, 16, 0.5%
Estonia
16 publications, 0.5%
|
Austria
|
Austria, 16, 0.5%
Austria
16 publications, 0.5%
|
Lithuania
|
Lithuania, 15, 0.47%
Lithuania
15 publications, 0.47%
|
Oman
|
Oman, 15, 0.47%
Oman
15 publications, 0.47%
|
Singapore
|
Singapore, 15, 0.47%
Singapore
15 publications, 0.47%
|
Slovenia
|
Slovenia, 15, 0.47%
Slovenia
15 publications, 0.47%
|
Qatar
|
Qatar, 14, 0.44%
Qatar
14 publications, 0.44%
|
Kuwait
|
Kuwait, 14, 0.44%
Kuwait
14 publications, 0.44%
|
Bulgaria
|
Bulgaria, 12, 0.37%
Bulgaria
12 publications, 0.37%
|
Denmark
|
Denmark, 11, 0.34%
Denmark
11 publications, 0.34%
|
Bahrain
|
Bahrain, 10, 0.31%
Bahrain
10 publications, 0.31%
|
Albania
|
Albania, 9, 0.28%
Albania
9 publications, 0.28%
|
Brunei
|
Brunei, 9, 0.28%
Brunei
9 publications, 0.28%
|
Fiji
|
Fiji, 9, 0.28%
Fiji
9 publications, 0.28%
|
Chile
|
Chile, 9, 0.28%
Chile
9 publications, 0.28%
|
Ghana
|
Ghana, 8, 0.25%
Ghana
8 publications, 0.25%
|
Iraq
|
Iraq, 8, 0.25%
Iraq
8 publications, 0.25%
|
Azerbaijan
|
Azerbaijan, 7, 0.22%
Azerbaijan
7 publications, 0.22%
|
Colombia
|
Colombia, 7, 0.22%
Colombia
7 publications, 0.22%
|
Ireland
|
Ireland, 6, 0.19%
Ireland
6 publications, 0.19%
|
Kenya
|
Kenya, 6, 0.19%
Kenya
6 publications, 0.19%
|
Peru
|
Peru, 5, 0.16%
Peru
5 publications, 0.16%
|
North Macedonia
|
North Macedonia, 5, 0.16%
North Macedonia
5 publications, 0.16%
|
Serbia
|
Serbia, 5, 0.16%
Serbia
5 publications, 0.16%
|
Kazakhstan
|
Kazakhstan, 4, 0.12%
Kazakhstan
4 publications, 0.12%
|
Argentina
|
Argentina, 4, 0.12%
Argentina
4 publications, 0.12%
|
Iceland
|
Iceland, 4, 0.12%
Iceland
4 publications, 0.12%
|
Uganda
|
Uganda, 4, 0.12%
Uganda
4 publications, 0.12%
|
Philippines
|
Philippines, 4, 0.12%
Philippines
4 publications, 0.12%
|
Sri Lanka
|
Sri Lanka, 4, 0.12%
Sri Lanka
4 publications, 0.12%
|
Ethiopia
|
Ethiopia, 4, 0.12%
Ethiopia
4 publications, 0.12%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 3, 0.09%
Bosnia and Herzegovina
3 publications, 0.09%
|
Zimbabwe
|
Zimbabwe, 3, 0.09%
Zimbabwe
3 publications, 0.09%
|
Libya
|
Libya, 3, 0.09%
Libya
3 publications, 0.09%
|
Luxembourg
|
Luxembourg, 3, 0.09%
Luxembourg
3 publications, 0.09%
|
Mauritius
|
Mauritius, 3, 0.09%
Mauritius
3 publications, 0.09%
|
Senegal
|
Senegal, 3, 0.09%
Senegal
3 publications, 0.09%
|
Sudan
|
Sudan, 3, 0.09%
Sudan
3 publications, 0.09%
|
Trinidad and Tobago
|
Trinidad and Tobago, 3, 0.09%
Trinidad and Tobago
3 publications, 0.09%
|
Kosovo
|
Kosovo, 3, 0.09%
Kosovo
3 publications, 0.09%
|
Algeria
|
Algeria, 2, 0.06%
Algeria
2 publications, 0.06%
|
Anguilla
|
Anguilla, 2, 0.06%
Anguilla
2 publications, 0.06%
|
Venezuela
|
Venezuela, 2, 0.06%
Venezuela
2 publications, 0.06%
|
Timor-Leste
|
Timor-Leste, 2, 0.06%
Timor-Leste
2 publications, 0.06%
|
Yemen
|
Yemen, 2, 0.06%
Yemen
2 publications, 0.06%
|
Cambodia
|
Cambodia, 2, 0.06%
Cambodia
2 publications, 0.06%
|
Cameroon
|
Cameroon, 2, 0.06%
Cameroon
2 publications, 0.06%
|
Moldova
|
Moldova, 2, 0.06%
Moldova
2 publications, 0.06%
|
Show all (70 more) | |
100
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300
400
500
600
|
Publishing countries in 5 years
100
200
300
400
500
600
|
|
USA
|
USA, 513, 18.14%
USA
513 publications, 18.14%
|
China
|
China, 206, 7.28%
China
206 publications, 7.28%
|
United Kingdom
|
United Kingdom, 204, 7.21%
United Kingdom
204 publications, 7.21%
|
Australia
|
Australia, 166, 5.87%
Australia
166 publications, 5.87%
|
India
|
India, 166, 5.87%
India
166 publications, 5.87%
|
Canada
|
Canada, 115, 4.07%
Canada
115 publications, 4.07%
|
South Africa
|
South Africa, 104, 3.68%
South Africa
104 publications, 3.68%
|
Italy
|
Italy, 94, 3.32%
Italy
94 publications, 3.32%
|
Romania
|
Romania, 94, 3.32%
Romania
94 publications, 3.32%
|
Germany
|
Germany, 87, 3.08%
Germany
87 publications, 3.08%
|
Poland
|
Poland, 86, 3.04%
Poland
86 publications, 3.04%
|
Portugal
|
Portugal, 81, 2.86%
Portugal
81 publications, 2.86%
|
Greece
|
Greece, 80, 2.83%
Greece
80 publications, 2.83%
|
Saudi Arabia
|
Saudi Arabia, 79, 2.79%
Saudi Arabia
79 publications, 2.79%
|
Malaysia
|
Malaysia, 72, 2.55%
Malaysia
72 publications, 2.55%
|
New Zealand
|
New Zealand, 71, 2.51%
New Zealand
71 publications, 2.51%
|
Russia
|
Russia, 68, 2.4%
Russia
68 publications, 2.4%
|
Japan
|
Japan, 66, 2.33%
Japan
66 publications, 2.33%
|
Vietnam
|
Vietnam, 63, 2.23%
Vietnam
63 publications, 2.23%
|
Spain
|
Spain, 58, 2.05%
Spain
58 publications, 2.05%
|
Pakistan
|
Pakistan, 54, 1.91%
Pakistan
54 publications, 1.91%
|
UAE
|
UAE, 53, 1.87%
UAE
53 publications, 1.87%
|
Indonesia
|
Indonesia, 52, 1.84%
Indonesia
52 publications, 1.84%
|
France
|
France, 50, 1.77%
France
50 publications, 1.77%
|
Republic of Korea
|
Republic of Korea, 49, 1.73%
Republic of Korea
49 publications, 1.73%
|
Iran
|
Iran, 42, 1.49%
Iran
42 publications, 1.49%
|
Egypt
|
Egypt, 40, 1.41%
Egypt
40 publications, 1.41%
|
Switzerland
|
Switzerland, 40, 1.41%
Switzerland
40 publications, 1.41%
|
Hungary
|
Hungary, 39, 1.38%
Hungary
39 publications, 1.38%
|
Turkey
|
Turkey, 38, 1.34%
Turkey
38 publications, 1.34%
|
Croatia
|
Croatia, 36, 1.27%
Croatia
36 publications, 1.27%
|
Ukraine
|
Ukraine, 33, 1.17%
Ukraine
33 publications, 1.17%
|
Norway
|
Norway, 33, 1.17%
Norway
33 publications, 1.17%
|
Jordan
|
Jordan, 32, 1.13%
Jordan
32 publications, 1.13%
|
Latvia
|
Latvia, 32, 1.13%
Latvia
32 publications, 1.13%
|
Slovakia
|
Slovakia, 32, 1.13%
Slovakia
32 publications, 1.13%
|
Bangladesh
|
Bangladesh, 30, 1.06%
Bangladesh
30 publications, 1.06%
|
Czech Republic
|
Czech Republic, 29, 1.03%
Czech Republic
29 publications, 1.03%
|
Tunisia
|
Tunisia, 27, 0.95%
Tunisia
27 publications, 0.95%
|
Netherlands
|
Netherlands, 26, 0.92%
Netherlands
26 publications, 0.92%
|
Thailand
|
Thailand, 26, 0.92%
Thailand
26 publications, 0.92%
|
Lebanon
|
Lebanon, 24, 0.85%
Lebanon
24 publications, 0.85%
|
Brazil
|
Brazil, 21, 0.74%
Brazil
21 publications, 0.74%
|
Belgium
|
Belgium, 20, 0.71%
Belgium
20 publications, 0.71%
|
Mexico
|
Mexico, 20, 0.71%
Mexico
20 publications, 0.71%
|
Finland
|
Finland, 20, 0.71%
Finland
20 publications, 0.71%
|
Israel
|
Israel, 18, 0.64%
Israel
18 publications, 0.64%
|
Malta
|
Malta, 17, 0.6%
Malta
17 publications, 0.6%
|
Morocco
|
Morocco, 17, 0.6%
Morocco
17 publications, 0.6%
|
Sweden
|
Sweden, 17, 0.6%
Sweden
17 publications, 0.6%
|
Cyprus
|
Cyprus, 16, 0.57%
Cyprus
16 publications, 0.57%
|
Nigeria
|
Nigeria, 16, 0.57%
Nigeria
16 publications, 0.57%
|
Estonia
|
Estonia, 15, 0.53%
Estonia
15 publications, 0.53%
|
Oman
|
Oman, 15, 0.53%
Oman
15 publications, 0.53%
|
Slovenia
|
Slovenia, 15, 0.53%
Slovenia
15 publications, 0.53%
|
Austria
|
Austria, 14, 0.5%
Austria
14 publications, 0.5%
|
Lithuania
|
Lithuania, 14, 0.5%
Lithuania
14 publications, 0.5%
|
Qatar
|
Qatar, 13, 0.46%
Qatar
13 publications, 0.46%
|
Bulgaria
|
Bulgaria, 12, 0.42%
Bulgaria
12 publications, 0.42%
|
Kuwait
|
Kuwait, 11, 0.39%
Kuwait
11 publications, 0.39%
|
Bahrain
|
Bahrain, 10, 0.35%
Bahrain
10 publications, 0.35%
|
Singapore
|
Singapore, 10, 0.35%
Singapore
10 publications, 0.35%
|
Albania
|
Albania, 9, 0.32%
Albania
9 publications, 0.32%
|
Brunei
|
Brunei, 9, 0.32%
Brunei
9 publications, 0.32%
|
Denmark
|
Denmark, 9, 0.32%
Denmark
9 publications, 0.32%
|
Fiji
|
Fiji, 9, 0.32%
Fiji
9 publications, 0.32%
|
Chile
|
Chile, 9, 0.32%
Chile
9 publications, 0.32%
|
Ghana
|
Ghana, 8, 0.28%
Ghana
8 publications, 0.28%
|
Iraq
|
Iraq, 8, 0.28%
Iraq
8 publications, 0.28%
|
Azerbaijan
|
Azerbaijan, 7, 0.25%
Azerbaijan
7 publications, 0.25%
|
Colombia
|
Colombia, 7, 0.25%
Colombia
7 publications, 0.25%
|
Kenya
|
Kenya, 5, 0.18%
Kenya
5 publications, 0.18%
|
Peru
|
Peru, 5, 0.18%
Peru
5 publications, 0.18%
|
North Macedonia
|
North Macedonia, 5, 0.18%
North Macedonia
5 publications, 0.18%
|
Kazakhstan
|
Kazakhstan, 4, 0.14%
Kazakhstan
4 publications, 0.14%
|
Iceland
|
Iceland, 4, 0.14%
Iceland
4 publications, 0.14%
|
Serbia
|
Serbia, 4, 0.14%
Serbia
4 publications, 0.14%
|
Uganda
|
Uganda, 4, 0.14%
Uganda
4 publications, 0.14%
|
Philippines
|
Philippines, 4, 0.14%
Philippines
4 publications, 0.14%
|
Sri Lanka
|
Sri Lanka, 4, 0.14%
Sri Lanka
4 publications, 0.14%
|
Ethiopia
|
Ethiopia, 4, 0.14%
Ethiopia
4 publications, 0.14%
|
Argentina
|
Argentina, 3, 0.11%
Argentina
3 publications, 0.11%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 3, 0.11%
Bosnia and Herzegovina
3 publications, 0.11%
|
Zimbabwe
|
Zimbabwe, 3, 0.11%
Zimbabwe
3 publications, 0.11%
|
Ireland
|
Ireland, 3, 0.11%
Ireland
3 publications, 0.11%
|
Libya
|
Libya, 3, 0.11%
Libya
3 publications, 0.11%
|
Sudan
|
Sudan, 3, 0.11%
Sudan
3 publications, 0.11%
|
Kosovo
|
Kosovo, 3, 0.11%
Kosovo
3 publications, 0.11%
|
Algeria
|
Algeria, 2, 0.07%
Algeria
2 publications, 0.07%
|
Anguilla
|
Anguilla, 2, 0.07%
Anguilla
2 publications, 0.07%
|
Venezuela
|
Venezuela, 2, 0.07%
Venezuela
2 publications, 0.07%
|
Timor-Leste
|
Timor-Leste, 2, 0.07%
Timor-Leste
2 publications, 0.07%
|
Yemen
|
Yemen, 2, 0.07%
Yemen
2 publications, 0.07%
|
Cambodia
|
Cambodia, 2, 0.07%
Cambodia
2 publications, 0.07%
|
Mauritius
|
Mauritius, 2, 0.07%
Mauritius
2 publications, 0.07%
|
Monaco
|
Monaco, 2, 0.07%
Monaco
2 publications, 0.07%
|
Senegal
|
Senegal, 2, 0.07%
Senegal
2 publications, 0.07%
|
Syria
|
Syria, 2, 0.07%
Syria
2 publications, 0.07%
|
Trinidad and Tobago
|
Trinidad and Tobago, 2, 0.07%
Trinidad and Tobago
2 publications, 0.07%
|
Montenegro
|
Montenegro, 2, 0.07%
Montenegro
2 publications, 0.07%
|
Show all (70 more) | |
100
200
300
400
500
600
|
3 profile journal articles
Carvalho Carla
17 publications,
81 citations
h-index: 5
2 profile journal articles
Moreira António
227 publications,
2 432 citations
h-index: 26
2 profile journal articles
Kandpal Vinay
🥼 🤝
PhD in Economics, Professor

Graphic Era University
67 publications,
174 citations
h-index: 9
Research interests
Finance and credit
Financial risks
Smart cities
Transportation
Urban Sustainability
1 profile journal article
Alekseev Aleksandr
🥼 🤝
PhD in Economics, Associate Professor

Perm National Research Polytechnic University
40 publications,
101 citations
h-index: 4
Research interests
Data Science
1 profile journal article
Dubrovskaya Julia
🥼
DSc in Economics, Associate Professor

Perm National Research Polytechnic University
22 publications,
41 citations
h-index: 3
Research interests
Economy
Modeling
Regional economy
Spatial analysis
1 profile journal article
Kozonogova Elena
🥼 🤝
PhD in Economics

Perm National Research Polytechnic University
24 publications,
47 citations
h-index: 4
Research interests
Economics (theory of innovation processes)
1 profile journal article
Sibanda Lucky

University of the Western Cape
13 publications,
18 citations
h-index: 3
Research interests
Entrepreneurship education
Higher education
Student Success
Student Support
1 profile journal article
Perwitasari Dian
3 publications,
11 citations
h-index: 1
1 profile journal article
Gurov Sergei
5 publications,
4 citations
h-index: 1
1 profile journal article
S. Asma.
1 publication
h-index: 0
1 profile journal article
Olivier de Bandt
PhD in Economics, Associate Professor
27 publications,
513 citations
h-index: 10
1 profile journal article
Ndlovu Godfrey
9 publications,
38 citations
h-index: 3
1 profile journal article
Rêgo Reiville
7 publications,
51 citations
h-index: 4
1 profile journal article
Misun Juraj
11 publications,
28 citations
h-index: 2