Eric D. Perakslis
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
Papers in
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- Artificial Intelligence in Healthcare and Education 14
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- Electronic Health Records Systems 11
- Co-authors
- Elena S. Izmailova (3 shared papers)John A. Wagner (3 shared papers)Sándor Szalma (2 shared papers)Andrea Coravos (5 shared papers)Geoffrey S. Ginsburg (1 shared paper)Mohammad S. Jalali (1 shared paper)Jennifer C. Goldsack (6 shared papers)William J. Gordon (1 shared paper)
- Journals
- Digital Health (5 papers)New England Journal of Medicine (3 papers)Science Translational Medicine (2 papers)F1000Research (2 papers)JAMA (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Eric D. Perakslis
44 papers receiving 1k citations
Peers
Comparison fields: 5 of 116
- Health Informatics 105
- Health Information Management 181
- General Health Professions 216
- Information Systems 214
- Applied Psychology 42
Countries citing papers authored by Eric D. Perakslis
This map shows the geographic impact of Eric D. Perakslis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric D. Perakslis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Perakslis more than expected).
Fields of papers citing papers by Eric D. Perakslis
This network shows the impact of papers produced by Eric D. Perakslis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric D. Perakslis. The network helps show where Eric D. Perakslis may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Perakslis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 203 | |
| 2 | 2019 | 125 | |
| 3 | 2018 | 103 | |
| 4 | 2014 | 81 | |
| 5 | 2010 | 77 | |
| 6 | 2023 | 66 | |
| 7 | 2020 | 47 | |
| 8 | 2020 | 42 | |
| 9 | 2019 | 34 | |
| 10 | 2019 | 32 | |
| 11 | 2021 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2010 | 20 | |
| 14 | 2017 | 17 | |
| 15 | 2016 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 1997 | 12 | |
| 20 | 2016 | 12 |
About Eric D. Perakslis
Eric D. Perakslis is a scholar working on Health Informatics, Health Information Management, Information Systems, Public Health, Environmental and Occupational Health and General Health Professions, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (14 papers), Electronic Health Records Systems (11 papers), Mobile Health and mHealth Applications (8 papers), Technology and Human Factors in Education and Health (7 papers), Thoreau and American Literature (7 papers), Information and Cyber Security (4 papers), Digitalization, Law, and Regulation (3 papers) and Research Data Management Practices (3 papers). The work is most often cited by research in Health Informatics (105 citations), Health Information Management (181 citations), General Health Professions (216 citations), Information Systems (214 citations) and Applied Psychology (42 citations). Eric D. Perakslis has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Elena S. Izmailova, John A. Wagner, Sándor Szalma, Andrea Coravos, Geoffrey S. Ginsburg, Mohammad S. Jalali, Jennifer C. Goldsack, William J. Gordon, Stuart Madnick and Venkata N. Koka. Their work appears in journals such as Digital Health, New England Journal of Medicine, Science Translational Medicine, F1000Research and JAMA.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.