Mark Sendak
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare and Education 17
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- Machine Learning in Healthcare 12
- Co-authors
- Suresh Balu (41 shared papers)Michael Gao (22 shared papers)Katherine Heller (6 shared papers)Nathan Brajer (4 shared papers)Marshall Nichols (13 shared papers)Sonoo Thadaney-Israni (2 shared papers)Suchi Saria (1 shared paper)Pilar N. Ossorio (1 shared paper)
- Journals
- npj Digital Medicine (5 papers)Journal of the American Medical Informatics Association (4 papers)Annals of Emergency Medicine (3 papers)Healthcare (2 papers)JAMA Network Open (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mark Sendak
49 papers receiving 1.7k citations
Mark Sendak's Hit Papers
Peers
Comparison fields: 5 of 125
- Health Informatics 667
- Health Information Management 214
- Family Practice 48
- Artificial Intelligence 454
- Medical Laboratory Technology 18
Countries citing papers authored by Mark Sendak
This map shows the geographic impact of Mark Sendak'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 Mark Sendak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sendak more than expected).
Fields of papers citing papers by Mark Sendak
This network shows the impact of papers produced by Mark Sendak. 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 Mark Sendak. The network helps show where Mark Sendak may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Sendak, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Do no harm: a roadmap for responsible machine learning for health care Hit paper breakdown → | 2019 | 543 |
| 2 | 2018 | 140 | |
| 3 | 2020 | 139 | |
| 4 | 2020 | 114 | |
| 5 | 2020 | 104 | |
| 6 | 2020 | 91 | |
| 7 | 2020 | 86 | |
| 8 | 2020 | 72 | |
| 9 | 2019 | 52 | |
| 10 | 2022 | 49 | |
| 11 | 2020 | 42 | |
| 12 | 2017 | 33 | |
| 13 | 2021 | 27 | |
| 14 | 2024 | 25 | |
| 15 | 2021 | 25 | |
| 16 | 2022 | 24 | |
| 17 | 2022 | 23 | |
| 18 | 2023 | 22 | |
| 19 | 2023 | 16 | |
| 20 | 2022 | 16 |
About Mark Sendak
Mark Sendak is a scholar working on Health Informatics, Artificial Intelligence, Public Health, Environmental and Occupational Health, General Health Professions and Epidemiology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (17 papers), Machine Learning in Healthcare (12 papers), Ethics in Clinical Research (7 papers), Sepsis Diagnosis and Treatment (6 papers), Artificial Intelligence in Healthcare (4 papers), Healthcare cost, quality, practices (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Health Policy Implementation Science (2 papers). The work is most often cited by research in Health Informatics (667 citations), Health Information Management (214 citations), Family Practice (48 citations), Artificial Intelligence (454 citations) and Medical Laboratory Technology (18 citations). Mark Sendak has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Suresh Balu, Michael Gao, Katherine Heller, Nathan Brajer, Marshall Nichols, Sonoo Thadaney-Israni, Suchi Saria, Pilar N. Ossorio, Finale Doshi‐Velez and David C. Kale. Their work appears in journals such as npj Digital Medicine, Journal of the American Medical Informatics Association, Annals of Emergency Medicine, Healthcare and JAMA Network Open.
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.