Benjamin Kompa
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Toxicology top 10%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Artificial Intelligence in Healthcare and Education 2
-
- Clinical Reasoning and Diagnostic Skills 1
- Co-authors
- Andrew L. Beam (6 shared papers)Jasper Snoek (2 shared papers)Rudraksh Tuwani (2 shared papers)Samuel G. Finlayson (1 shared paper)Ateev Mehrotra (1 shared paper)David Michael Levine (1 shared paper)Paul Arthur Bain (1 shared paper)Joe B. Hakim (1 shared paper)
- Journals
- npj Digital Medicine (2 papers)The Lancet Digital Health (1 paper)Drug Safety (1 paper)PLoS ONE (1 paper)Entropy (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Benjamin Kompa
7 papers receiving 432 citations
Benjamin Kompa's Hit Papers
Peers
Comparison fields: 5 of 101
- Health Informatics 89
- Toxicology 29
- Health Information Management 17
- Artificial Intelligence 119
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Benjamin Kompa
This map shows the geographic impact of Benjamin Kompa'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 Benjamin Kompa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Kompa more than expected).
Fields of papers citing papers by Benjamin Kompa
This network shows the impact of papers produced by Benjamin Kompa. 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 Benjamin Kompa. The network helps show where Benjamin Kompa may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Kompa, 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 | Second opinion needed: communicating uncertainty in medical machine learning Hit paper breakdown → | 2021 | 281 |
| 2 | 2022 | 59 | |
| 3 | 2024 | 58 | |
| 4 | 2019 | 27 | |
| 5 | 2017 | 15 | |
| 6 | 2025 | 2 | |
| 7 | 2019 | 2 | |
| 8 | 2021 | 0 |
About Benjamin Kompa
Benjamin Kompa is a scholar working on Health Informatics, Family Practice, Toxicology, Artificial Intelligence and Biophysics, having authored 8 papers that have together received 444 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), Clinical Reasoning and Diagnostic Skills (1 paper), Biomedical Text Mining and Ontologies (1 paper), Anomaly Detection Techniques and Applications (1 paper), Intraocular Surgery and Lenses (1 paper), Gene expression and cancer classification (1 paper), Pharmacovigilance and Adverse Drug Reactions (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Health Informatics (89 citations), Toxicology (29 citations), Health Information Management (17 citations), Artificial Intelligence (119 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Benjamin Kompa has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Andrew L. Beam, Jasper Snoek, Rudraksh Tuwani, Samuel G. Finlayson, Ateev Mehrotra, David Michael Levine, Paul Arthur Bain, Joe B. Hakim, Michael R. Smith and Jeffery L. Painter. Their work appears in journals such as npj Digital Medicine, The Lancet Digital Health, Drug Safety, PLoS ONE and Entropy.
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.