Matthew E. Levine
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
- Applied Psychology top 10%
- Digital Mental Health Interventions
Papers in
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- Mobile Health and mHealth Applications 6
-
- Machine Learning in Healthcare 2
- Co-authors
- David J. Albers (20 shared papers)Lena Mamykina (15 shared papers)Andrew M. Stuart (6 shared papers)George Hripcsak (8 shared papers)Pooja M. Desai (5 shared papers)Bruce J. Gluckman (3 shared papers)Arlene Smaldone (7 shared papers)Elliot G. Mitchell (6 shared papers)
- Journals
- Journal of the American Medical Informatics Association (5 papers)Journal of Biomedical Informatics (3 papers)International Journal of Medical Informatics (1 paper)PLoS Computational Biology (1 paper)Inverse Problems (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Matthew E. Levine
31 papers receiving 575 citations
Peers
Comparison fields: 5 of 121
- Human-Computer Interaction 78
- Applied Psychology 59
- Health Informatics 12
- Health Information Management 26
- General Health Professions 100
Countries citing papers authored by Matthew E. Levine
This map shows the geographic impact of Matthew E. Levine'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 Matthew E. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Levine more than expected).
Fields of papers citing papers by Matthew E. Levine
This network shows the impact of papers produced by Matthew E. Levine. 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 Matthew E. Levine. The network helps show where Matthew E. Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew E. Levine, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 80 | |
| 2 | 2019 | 52 | |
| 3 | 2021 | 51 | |
| 4 | 2022 | 44 | |
| 5 | 2018 | 38 | |
| 6 | 2019 | 34 | |
| 7 | 1995 | 33 | |
| 8 | 2018 | 31 | |
| 9 | 2016 | 31 | |
| 10 | 2018 | 29 | |
| 11 | 2018 | 28 | |
| 12 | 2020 | 14 | |
| 13 | 2024 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 1995 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 1968 | 8 | |
| 20 | 2020 | 7 |
About Matthew E. Levine
Matthew E. Levine is a scholar working on General Health Professions, Artificial Intelligence, Endocrinology, Diabetes and Metabolism, Molecular Biology and Applied Psychology, having authored 31 papers that have together received 593 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (6 papers), Diabetes Management and Research (5 papers), Digital Mental Health Interventions (4 papers), Spaceflight effects on biology (3 papers), Innovative Human-Technology Interaction (3 papers), High Altitude and Hypoxia (2 papers), Machine Learning in Healthcare (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Human-Computer Interaction (78 citations), Applied Psychology (59 citations), Health Informatics (12 citations), Health Information Management (26 citations) and General Health Professions (100 citations). Matthew E. Levine has collaborated with scholars based in United States and France. Frequent co-authors include David J. Albers, Lena Mamykina, Andrew M. Stuart, George Hripcsak, Pooja M. Desai, Bruce J. Gluckman, Arlene Smaldone, Elliot G. Mitchell, Henry N. Ginsberg and Lawrence K. Duffy. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, International Journal of Medical Informatics, PLoS Computational Biology and Inverse Problems.
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.