About
Thomas William do Prado Paiva received his B.Sc in Science and Technology (2016), B.Eng. in Computer Engineering (2022), and M.Sc. Computer Science (2021) from the Institute of Science and Technology of the Federal University of Sao Paulo (UNIFESP), Brazil. Currently, he is a machine learning researcher at CPQD, a Research and Development Center in Telecommunications, where he has been working on R&D projects.
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Total publications
3
Total citations
9
Citations per publication
3
Average publications per year
1
Average coauthors
5.33
Publications years
2023-2025 (3 years)
h-index
2
i10-index
0
m-index
0.67
o-index
3
g-index
3
w-index
0
Metrics description
h-index
A scientist has an h-index if h of his N publications are cited at least h times each, while the remaining (N - h) publications are cited no more than h times each.
i10-index
The number of the author's publications that received at least 10 links each.
m-index
The researcher's m-index is numerically equal to the ratio of his h-index to the number of years that have passed since the first publication.
o-index
The geometric mean of the h-index and the number of citations of the most cited article of the scientist.
g-index
For a given set of articles, sorted in descending order of the number of citations that these articles received, the g-index is the largest number such that the g most cited articles received (in total) at least g2 citations.
w-index
If w articles of a researcher have at least 10w citations each and other publications are less than 10(w+1) citations, then the researcher's w-index is equal to w.
Top-100
Journals
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1
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ACM Transactions on Multimedia Computing, Communications and Applications
1 publication, 33.33%
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1
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Citing journals
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1
2
3
4
5
6
7
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Journal not defined
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Journal not defined, 7, 70%
Journal not defined
7 citations, 70%
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ACM Transactions on Multimedia Computing, Communications and Applications
1 citation, 10%
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IEEE Transactions on Broadcasting
1 citation, 10%
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IEEE Access
1 citation, 10%
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1
2
3
4
5
6
7
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Publishers
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1
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Association for Computing Machinery (ACM)
1 publication, 33.33%
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1
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Organizations from articles
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1
2
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Organization not defined
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Organization not defined, 2, 66.67%
Organization not defined
2 publications, 66.67%
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Karlstad University
1 publication, 33.33%
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University of Oslo
1 publication, 33.33%
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King's College London
1 publication, 33.33%
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Federal University of São Paulo
1 publication, 33.33%
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1
2
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Countries from articles
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1
2
3
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Brazil
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Brazil, 3, 100%
Brazil
3 publications, 100%
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Sweden
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Sweden, 2, 66.67%
Sweden
2 publications, 66.67%
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Country not defined
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Country not defined, 1, 33.33%
Country not defined
1 publication, 33.33%
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United Kingdom
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United Kingdom, 1, 33.33%
United Kingdom
1 publication, 33.33%
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Norway
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Norway, 1, 33.33%
Norway
1 publication, 33.33%
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1
2
3
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Citing organizations
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1
2
3
4
5
6
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Organization not defined
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Organization not defined, 6, 66.67%
Organization not defined
6 citations, 66.67%
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University of Indonesia
1 citation, 11.11%
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Karlstad University
1 citation, 11.11%
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University of Oslo
1 citation, 11.11%
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King's College London
1 citation, 11.11%
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Korea Institute of Science & Technology Information
1 citation, 11.11%
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Jiangxi Normal University
1 citation, 11.11%
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Cranfield University
1 citation, 11.11%
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Federal University of São Paulo
1 citation, 11.11%
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1
2
3
4
5
6
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Citing countries
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1
2
3
4
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Brazil
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Brazil, 4, 44.44%
Brazil
4 citations, 44.44%
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USA
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USA, 3, 33.33%
USA
3 citations, 33.33%
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United Kingdom
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United Kingdom, 2, 22.22%
United Kingdom
2 citations, 22.22%
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Sweden
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Sweden, 2, 22.22%
Sweden
2 citations, 22.22%
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Country not defined
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Country not defined, 1, 11.11%
Country not defined
1 citation, 11.11%
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China
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China, 1, 11.11%
China
1 citation, 11.11%
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Indonesia
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Indonesia, 1, 11.11%
Indonesia
1 citation, 11.11%
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Republic of Korea
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Republic of Korea, 1, 11.11%
Republic of Korea
1 citation, 11.11%
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1
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4
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- We do not take into account publications without a DOI.
- Statistics recalculated daily.