Matthew E. Levine

857 total citations
30 papers, 526 citations indexed

About

Matthew E. Levine is a scholar working on General Health Professions, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Matthew E. Levine has authored 30 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 9 papers in Artificial Intelligence and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Matthew E. Levine's work include Mobile Health and mHealth Applications (7 papers), Diabetes Management and Research (6 papers) and Machine Learning in Healthcare (4 papers). Matthew E. Levine is often cited by papers focused on Mobile Health and mHealth Applications (7 papers), Diabetes Management and Research (6 papers) and Machine Learning in Healthcare (4 papers). Matthew E. Levine collaborates with scholars based in United States and France. Matthew E. Levine's 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 and has published in prestigious journals such as Cell, American Journal of Psychiatry and Journal of Computational Physics.

In The Last Decade

Matthew E. Levine

30 papers receiving 508 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew E. Levine United States 13 124 107 80 71 69 30 526
Hien Vu Australia 11 38 0.3× 27 0.3× 67 0.8× 32 0.5× 8 0.1× 22 676
Gema García-Sáez Spain 14 199 1.6× 93 0.9× 272 3.4× 17 0.2× 9 0.1× 35 650
Óscar Múñoz Colombia 17 134 1.1× 103 1.0× 469 5.9× 17 0.2× 36 0.5× 160 1.3k
Ahmed N. Albatineh Kuwait 18 104 0.8× 96 0.9× 110 1.4× 16 0.2× 1 0.0× 66 1.1k
Samina Abidi Canada 15 78 0.6× 175 1.6× 34 0.4× 25 0.4× 4 0.1× 60 544
Jan Mužík Czechia 9 70 0.6× 20 0.2× 69 0.9× 21 0.3× 11 0.2× 21 327
Clare Martin United Kingdom 13 58 0.5× 102 1.0× 72 0.9× 13 0.2× 5 0.1× 50 507
Paolo Fraccaro United Kingdom 16 125 1.0× 61 0.6× 25 0.3× 39 0.5× 6 0.1× 38 638
Luca Foschini United States 12 71 0.6× 208 1.9× 7 0.1× 45 0.6× 5 0.1× 28 696
Ian H. Jarman United Kingdom 15 71 0.6× 108 1.0× 15 0.2× 8 0.1× 2 0.0× 48 765

Countries citing papers authored by Matthew E. Levine

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew E. Levine

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew E. Levine. A scholar is included among the top collaborators of Matthew E. Levine based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew E. Levine. Matthew E. Levine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mitchell, Elliot G., Arlene Smaldone, Andrea Cassells, et al.. (2025). T2 Coach: A Qualitative Study of an Automated Health Coach for Diabetes Self-Management. PubMed. 2025. 1–17. 1 indexed citations
2.
Levine, Matthew E., et al.. (2025). Contextual computation by competitive protein dimerization networks. Cell. 188(7). 1984–2002.e17. 4 indexed citations
3.
Wu, Jinlong, Matthew E. Levine, Tapio Schneider, & Andrew M. Stuart. (2024). Learning about structural errors in models of complex dynamical systems. Journal of Computational Physics. 513. 113157–113157. 10 indexed citations
4.
Albers, David J., et al.. (2023). Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. Journal of Biomedical Informatics. 145. 104477–104477. 3 indexed citations
5.
Levine, Matthew E., et al.. (2023). A simple modeling framework for prediction in the human glucose–insulin system. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(7). 9 indexed citations
6.
Burgermaster, Marissa, Pooja M. Desai, Elizabeth Heitkemper, et al.. (2023). Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity. Journal of Biomedical Informatics. 144. 104419–104419. 7 indexed citations
7.
Sottile, Peter D., David J. Albers, Peter E. DeWitt, et al.. (2021). Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study. Journal of the American Medical Informatics Association. 28(11). 2354–2365. 12 indexed citations
8.
Mitchell, Elliot G., Esteban G. Tabak, Matthew E. Levine, Lena Mamykina, & David J. Albers. (2020). Enabling personalized decision support with patient-generated data and attributable components. Journal of Biomedical Informatics. 113. 103639–103639. 7 indexed citations
9.
Burgermaster, Marissa, Arlene Smaldone, Gilad J. Kuperman, et al.. (2020). A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. International Journal of Medical Informatics. 139. 104158–104158. 12 indexed citations
10.
Albers, David J., et al.. (2019). Ensemble Kalman methods with constraints. Inverse Problems. 35(9). 95007–95007. 33 indexed citations
11.
Desai, Pooja M., et al.. (2019). Personal Health Oracle. 1–13. 43 indexed citations
12.
Albers, David J., Matthew E. Levine, Lena Mamykina, & George Hripcsak. (2019). The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems. Mathematical Biosciences. 316. 108242–108242. 8 indexed citations
13.
Desai, Pooja M., Matthew E. Levine, David J. Albers, & Lena Mamykina. (2018). Pictures Worth a Thousand Words. 1–13. 35 indexed citations
14.
Hripcsak, George, Matthew E. Levine, Ning Shang, & Patrick Ryan. (2018). Effect of vocabulary mapping for conditions on phenotype cohorts. Journal of the American Medical Informatics Association. 25(12). 1618–1625. 30 indexed citations
15.
Albers, David J., Matthew E. Levine, Bruce J. Gluckman, et al.. (2017). Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Computational Biology. 13(4). e1005232–e1005232. 71 indexed citations
16.
Albers, David J., Matthew E. Levine, Bruce J. Gluckman, George Hripcsak, & Lena Mamykina. (2015). Personalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose.. AMIA. 1 indexed citations
17.
Levine, Matthew E. & Barbara E. Wójcik. (1999). Alcoholic Typology and Season of Birth. Journal of Addictive Diseases. 18(1). 41–52. 4 indexed citations
18.
Levine, Matthew E., et al.. (1995). Acclimation of a non-indigenous sub-Arctic population: seasonal variation in thyroid function in interior Alaska. Comparative Biochemistry and Physiology Part A Physiology. 111(2). 209–214. 31 indexed citations
19.
Levine, Matthew E.. (1975). Living or Dying: Adaptation to Hemodialysis. American Journal of Psychotherapy. 29(4). 615–616. 2 indexed citations
20.
Levine, Matthew E.. (1968). Psychotherapy of Borderline Patients. American Journal of Psychiatry. 125(5). 704–b. 8 indexed citations

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.

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