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 25
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- Artificial Intelligence in Healthcare 6
- Electronic Health Records Systems 4
- Co-authors
- Suresh Balu (44 shared papers)Michael C. Gao (23 shared papers)Katherine Heller (6 shared papers)Nathan Brajer (4 shared papers)Marshall Nichols (14 shared papers)Sonoo Thadaney-Israni (2 shared papers)Anna Goldenberg (2 shared papers)Marzyeh Ghassemi (1 shared paper)
- Journals
- npj Digital Medicine (6 papers)Journal of the American Medical Informatics Association (5 papers)Nature Medicine (4 papers)JAMA Network Open (3 papers)Annals of Emergency Medicine (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mark Sendak
59 papers receiving 2.6k citations
Mark Sendak's Hit Papers
Peers
Comparison fields: 5 of 135
- Health Informatics 1.0k
- Health Information Management 307
- Family Practice 68
- Artificial Intelligence 668
- Radiology, Nuclear Medicine and Imaging 374
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 64 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 | 671 |
| 2 | Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI Hit paper breakdown → | 2022 | 383 |
| 3 | 2020 | 169 | |
| 4 | 2018 | 166 | |
| 5 | 2019 | 159 | |
| 6 | 2020 | 136 | |
| 7 | 2020 | 119 | |
| 8 | 2020 | 100 | |
| 9 | 2020 | 99 | |
| 10 | 2020 | 83 | |
| 11 | 2019 | 63 | |
| 12 | 2022 | 58 | |
| 13 | 2020 | 47 | |
| 14 | 2017 | 39 | |
| 15 | 2021 | 32 | |
| 16 | 2024 | 32 | |
| 17 | 2021 | 31 | |
| 18 | 2023 | 28 | |
| 19 | 2022 | 24 | |
| 20 | 2022 | 23 |
About Mark Sendak
Mark Sendak is a scholar working on Health Informatics, Health Information Management, Public Health, Environmental and Occupational Health, Artificial Intelligence and General Health Professions, having authored 64 papers that have together received 2.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (25 papers), Machine Learning in Healthcare (15 papers), Ethics in Clinical Research (7 papers), Sepsis Diagnosis and Treatment (7 papers), Artificial Intelligence in Healthcare (6 papers), Healthcare cost, quality, practices (4 papers), Electronic Health Records Systems (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Health Informatics (1.0k citations), Health Information Management (307 citations), Family Practice (68 citations), Artificial Intelligence (668 citations) and Radiology, Nuclear Medicine and Imaging (374 citations). Mark Sendak has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Suresh Balu, Michael C. Gao, Katherine Heller, Nathan Brajer, Marshall Nichols, Sonoo Thadaney-Israni, Anna Goldenberg, Marzyeh Ghassemi, Finale Doshi‐Velez and David C. Kale. Their work appears in journals such as npj Digital Medicine, Journal of the American Medical Informatics Association, Nature Medicine, JAMA Network Open and Annals of Emergency Medicine.
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.