Robert Freeman
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
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- Artificial Intelligence in Healthcare and Education 11
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- Emergency and Acute Care Studies 4
- Co-authors
- Eyal Klang (32 shared papers)David L. Reich (26 shared papers)Matthew A. Levin (26 shared papers)Shelly Soffer (11 shared papers)Daniel J. Donoghue (4 shared papers)Girish N. Nadkarni (27 shared papers)Benjamin Scott Glicksberg (20 shared papers)Gassan Kassim (1 shared paper)
- Journals
- Journal of Clinical Medicine (5 papers)Journal of the American Medical Informatics Association (4 papers)npj Digital Medicine (4 papers)Applied Clinical Informatics (3 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Robert Freeman
92 papers receiving 2.2k citations
Robert Freeman's Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 223
- Transplantation 81
- Complementary and Manual Therapy 43
- Health Information Management 93
- Infectious Diseases 330
Countries citing papers authored by Robert Freeman
This map shows the geographic impact of Robert Freeman'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 Robert Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Freeman more than expected).
Fields of papers citing papers by Robert Freeman
This network shows the impact of papers produced by Robert Freeman. 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 Robert Freeman. The network helps show where Robert Freeman may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Freeman, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 229 | |
| 2 | 2020 | 168 | |
| 3 | 2020 | 136 | |
| 4 | 2004 | 106 | |
| 5 | 2015 | 99 | |
| 6 | 2021 | 78 | |
| 7 | 1981 | 75 | |
| 8 | 2024 | 75 | |
| 9 | Sociodemographic biases in medical decision making by large language models Hit paper breakdown → | 2025 | 66 |
| 10 | 2000 | 60 | |
| 11 | 1986 | 53 | |
| 12 | 1991 | 52 | |
| 13 | 1990 | 51 | |
| 14 | 2018 | 51 | |
| 15 | 2017 | 49 | |
| 16 | 2024 | 45 | |
| 17 | 2020 | 43 | |
| 18 | 2025 | 42 | |
| 19 | 2020 | 42 | |
| 20 | 1992 | 39 |
About Robert Freeman
Robert Freeman is a scholar working on Health Informatics, Emergency Medicine, Epidemiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 100 papers that have together received 2.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (11 papers), Machine Learning in Healthcare (8 papers), Sepsis Diagnosis and Treatment (4 papers), COVID-19 Clinical Research Studies (4 papers), Emergency and Acute Care Studies (4 papers), Anesthesia and Pain Management (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Health Informatics (223 citations), Transplantation (81 citations), Complementary and Manual Therapy (43 citations), Health Information Management (93 citations) and Infectious Diseases (330 citations). Robert Freeman has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Eyal Klang, David L. Reich, Matthew A. Levin, Shelly Soffer, Daniel J. Donoghue, Girish N. Nadkarni, Benjamin Scott Glicksberg, Gassan Kassim, Prem Timsina and Arash Kia. Their work appears in journals such as Journal of Clinical Medicine, Journal of the American Medical Informatics Association, npj Digital Medicine, Applied Clinical Informatics and The Journal of Cell Biology.
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.