Majid Afshar
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in
- Epidemiology 48
- Sepsis Diagnosis and Treatment 21
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- Machine Learning in Healthcare 27
- Topic Modeling 18
- Co-authors
- Matthew M. Churpek (53 shared papers)Dmitriy Dligach (41 shared papers)Emily Gilbert (15 shared papers)Cara Joyce (27 shared papers)Elizabeth J. Kovacs (18 shared papers)Giora Netzer (16 shared papers)Kyle A. Carey (19 shared papers)Niranjan S. Karnik (14 shared papers)
- Journals
- Journal of the American Medical Informatics Association (14 papers)Alcohol (7 papers)Critical Care Medicine (6 papers)Annals of the American Thoracic Society (5 papers)Journal of Biomedical Informatics (4 papers)
- Partner nations
- United StatesIranCanada
In The Last Decade
Majid Afshar
128 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 142
- Health Informatics 143
- Critical Care and Intensive Care Medicine 184
- Emergency Medicine 269
- Family Practice 46
- Health Information Management 90
Countries citing papers authored by Majid Afshar
This map shows the geographic impact of Majid Afshar'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 Majid Afshar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majid Afshar more than expected).
Fields of papers citing papers by Majid Afshar
This network shows the impact of papers produced by Majid Afshar. 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 Majid Afshar. The network helps show where Majid Afshar may publish in the future.
Co-authors
The 25 scholars most cited alongside Majid Afshar, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2011 | 93 | |
| 3 | 2020 | 88 | |
| 4 | 2018 | 78 | |
| 5 | 2020 | 76 | |
| 6 | 2014 | 73 | |
| 7 | 2016 | 67 | |
| 8 | 2018 | 60 | |
| 9 | 2021 | 53 | |
| 10 | 2017 | 47 | |
| 11 | 2014 | 46 | |
| 12 | 2019 | 36 | |
| 13 | 2019 | 33 | |
| 14 | 2019 | 29 | |
| 15 | 2019 | 29 | |
| 16 | 2020 | 28 | |
| 17 | 2015 | 28 | |
| 18 | 2020 | 27 | |
| 19 | 2020 | 27 | |
| 20 | 2018 | 25 |
About Majid Afshar
Majid Afshar is a scholar working on Epidemiology, Artificial Intelligence, Emergency Medicine, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 144 papers that have together received 2.0k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (27 papers), Sepsis Diagnosis and Treatment (21 papers), Topic Modeling (18 papers), Emergency and Acute Care Studies (16 papers), Opioid Use Disorder Treatment (14 papers), Alcohol Consumption and Health Effects (14 papers), Cardiac Arrest and Resuscitation (14 papers) and Respiratory Support and Mechanisms (13 papers). The work is most often cited by research in Health Informatics (143 citations), Critical Care and Intensive Care Medicine (184 citations), Emergency Medicine (269 citations), Family Practice (46 citations) and Health Information Management (90 citations). Majid Afshar has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Matthew M. Churpek, Dmitriy Dligach, Emily Gilbert, Cara Joyce, Elizabeth J. Kovacs, Giora Netzer, Kyle A. Carey, Niranjan S. Karnik, Brihat Sharma and Gordon S. Smith. Their work appears in journals such as Journal of the American Medical Informatics Association, Alcohol, Critical Care Medicine, Annals of the American Thoracic Society and Journal of Biomedical Informatics.
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.