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pages 37-53
A Decade-Long Bibliometric Analysis of Electronic Health Record Research Trends (2014–2024)
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Faculty of Computing, Nigerian Army University, Biu, Nigeria
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4
Publication type: Book Chapter
Publication date: 2025-01-21
scimago Q4
SJR: 0.189
CiteScore: 2.3
Impact factor: —
ISSN: 1860949X, 18609503
Abstract
This study analyzes global research trends in electronic health records through a bibliometric approach, using the Scopus database, 18,555 articles published between 2014 and 2024 were retrieved, focusing on author co-authorships, publication outputs, the co-occurrence of author keywords, and affiliated countries. The findings show a steady increase in publications from 2014 to 2023. Researchers from the United States, China, and India made the most significant contributions to global publications. Affiliation institutions of the authors include Harvard Medical School, which leads with an impressive publication count is followed by Mayo Clinic which ranks second in terms of publications, while Columbia University come third in publications. In terms of co-authorship link strength, Gadekallu Thippa Reddy emerged as the author with the highest total link strength of 146. This Followed by Zhang Tao securing the second position with a total link strength of 42, other authors like Tang Buzhou, Wang Jiaqi and Xu Hui were also identified with their significance contribution in the field of EHR implementation each with their substantial link strengths of 17, 18 and 19 respectively. In terms of authors’ citations, Ghayvat Hemant leads with 67 citations, followed by Zhang Tao with 42 citations, and Xie Feng with 33 citations. The study concludes by providing broader summary of electronic health record trends, using data from the Scopus database. The findings indicate that in the past decade there is a significant growth, there is projections in the future it will continue to increase.
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Ibrahim M. et al. A Decade-Long Bibliometric Analysis of Electronic Health Record Research Trends (2014–2024) // Studies in Computational Intelligence. 2025. pp. 37-53.
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Ibrahim M., Mahmoud M. A., Al-Sharafi M. A., Hassan A. A Decade-Long Bibliometric Analysis of Electronic Health Record Research Trends (2014–2024) // Studies in Computational Intelligence. 2025. pp. 37-53.
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TY - GENERIC
DO - 10.1007/978-3-031-75091-5_3
UR - https://link.springer.com/10.1007/978-3-031-75091-5_3
TI - A Decade-Long Bibliometric Analysis of Electronic Health Record Research Trends (2014–2024)
T2 - Studies in Computational Intelligence
AU - Ibrahim, Muhammed
AU - Mahmoud, Moamin A.
AU - Al-Sharafi, Mohammed A.
AU - Hassan, Abba
PY - 2025
DA - 2025/01/21
PB - Springer Nature
SP - 37-53
SN - 1860-949X
SN - 1860-9503
ER -
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@incollection{2025_Ibrahim,
author = {Muhammed Ibrahim and Moamin A. Mahmoud and Mohammed A. Al-Sharafi and Abba Hassan},
title = {A Decade-Long Bibliometric Analysis of Electronic Health Record Research Trends (2014–2024)},
publisher = {Springer Nature},
year = {2025},
pages = {37--53},
month = {jan}
}