Eric Perakslis
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in ⓘ
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- Artificial Intelligence in Healthcare and Education 3
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- Digital Mental Health Interventions 5
- Co-authors
- John A. Wagner (3 shared papers)Elena S. Izmailova (3 shared papers)Geoffrey S. Ginsburg (1 shared paper)Sándor Szalma (2 shared papers)Andrea Coravos (3 shared papers)Mohammad S. Jalali (2 shared papers)Stuart Madnick (2 shared papers)William J. Gordon (2 shared papers)
- Journals
- New England Journal of Medicine (3 papers)JAMA (2 papers)Clinical Pharmacology & Therapeutics (2 papers)Nature Reviews Drug Discovery (2 papers)Journal of Medical Internet Research (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Eric Perakslis
36 papers receiving 800 citations
Peers
Comparison fields: 5 of 133
- Health Informatics 64
- Applied Psychology 85
- Health Information Management 62
- Family Practice 26
- General Health Professions 152
Countries citing papers authored by Eric Perakslis
This map shows the geographic impact of Eric 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 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 Perakslis more than expected).
Fields of papers citing papers by Eric Perakslis
This network shows the impact of papers produced by Eric 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 Perakslis. The network helps show where Eric Perakslis may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 158 | |
| 2 | 2019 | 99 | |
| 3 | 2018 | 84 | |
| 4 | 2010 | 63 | |
| 5 | 2014 | 58 | |
| 6 | 2023 | 42 | |
| 7 | 2020 | 42 | |
| 8 | 2020 | 37 | |
| 9 | 2019 | 29 | |
| 10 | 2018 | 28 | |
| 11 | 2019 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2010 | 17 | |
| 14 | 2017 | 15 | |
| 15 | 2016 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 1997 | 12 | |
| 18 | 2019 | 10 | |
| 19 | 2007 | 7 | |
| 20 | 2022 | 6 |
About Eric Perakslis
Eric Perakslis is a scholar working on Health Informatics, Applied Psychology, Family Practice, Health Information Management and Transplantation, having authored 38 papers that have together received 835 indexed citations. Recurring topics across this work include Ethics in Clinical Research (7 papers), Digital Mental Health Interventions (5 papers), Information and Cyber Security (4 papers), Mobile Health and mHealth Applications (3 papers), Big Data and Business Intelligence (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Biomedical and Engineering Education (3 papers). The work is most often cited by research in Health Informatics (64 citations), Applied Psychology (85 citations), Health Information Management (62 citations), Family Practice (26 citations) and General Health Professions (152 citations). Eric Perakslis has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include John A. Wagner, Elena S. Izmailova, Geoffrey S. Ginsburg, Sándor Szalma, Andrea Coravos, Mohammad S. Jalali, Stuart Madnick, William J. Gordon, Venkata Koka and Jennifer C. Goldsack. Their work appears in journals such as New England Journal of Medicine, JAMA, Clinical Pharmacology & Therapeutics, Nature Reviews Drug Discovery and Journal of Medical Internet Research.
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.