Hannah Kerman
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills
Papers in
-
- LGBTQ Health, Identity, and Policy 4
- Surgery 3
- Total Knee Arthroplasty Outcomes 2
- Knee injuries and reconstruction techniques 2
- Co-authors
- Daniel X. Yang (3 shared papers)Eric Horvitz (2 shared papers)Eric Strong (2 shared papers)Yingjie Weng (2 shared papers)Andrew S. Parsons (2 shared papers)Arnold Milstein (2 shared papers)Jonathan H. Chen (3 shared papers)Adam Rodman (3 shared papers)
- Journals
- Journal of Adolescent Health (3 papers)Transgender Health (1 paper)npj Digital Medicine (1 paper)Nature Medicine (1 paper)PM&R (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Hannah Kerman
9 papers receiving 330 citations
Hannah Kerman's Hit Papers
Peers
Comparison fields: 5 of 83
- Health Informatics 115
- Family Practice 34
- Health Information Management 12
- Social Psychology 51
- Artificial Intelligence 72
Countries citing papers authored by Hannah Kerman
This map shows the geographic impact of Hannah Kerman'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 Hannah Kerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Kerman more than expected).
Fields of papers citing papers by Hannah Kerman
This network shows the impact of papers produced by Hannah Kerman. 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 Hannah Kerman. The network helps show where Hannah Kerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah Kerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large Language Model Influence on Diagnostic Reasoning Hit paper breakdown → | 2024 | 167 |
| 2 | 2017 | 43 | |
| 3 | GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial Hit paper breakdown → | 2025 | 35 |
| 4 | 2020 | 29 | |
| 5 | 2022 | 16 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2017 | 6 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2019 | 0 |
About Hannah Kerman
Hannah Kerman is a scholar working on Social Psychology, Surgery, Public Health, Environmental and Occupational Health, Family Practice and Rheumatology, having authored 12 papers that have together received 336 indexed citations. Recurring topics across this work include LGBTQ Health, Identity, and Policy (4 papers), Innovations in Medical Education (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Sports injuries and prevention (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Knee injuries and reconstruction techniques (2 papers) and Gender, Feminism, and Media (1 paper). The work is most often cited by research in Health Informatics (115 citations), Family Practice (34 citations), Health Information Management (12 citations), Social Psychology (51 citations) and Artificial Intelligence (72 citations). Hannah Kerman has collaborated with scholars based in United States and Australia. Frequent co-authors include Daniel X. Yang, Eric Horvitz, Eric Strong, Yingjie Weng, Andrew S. Parsons, Arnold Milstein, Jonathan H. Chen, Adam Rodman, Jason Hom and Zahir Kanjee. Their work appears in journals such as Journal of Adolescent Health, Transgender Health, npj Digital Medicine, Nature Medicine and PM&R.
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.