Benjamin Kompa
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Toxicology top 10%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Natural Language Processing Techniques 1
- Co-authors
- Andrew L. Beam (5 shared papers)Jasper Snoek (1 shared paper)Rudraksh Tuwani (2 shared papers)David M. Levine (1 shared paper)Samuel G. Finlayson (1 shared paper)Ateev Mehrotra (1 shared paper)Michael R. Smith (1 shared paper)Paul Bain (1 shared paper)
- Journals
- npj Digital Medicine (2 papers)Drug Safety (1 paper)The Lancet Digital Health (1 paper)PLoS ONE (1 paper)PubMed (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Benjamin Kompa
7 papers receiving 334 citations
Benjamin Kompa's Hit Papers
Peers
Comparison fields: 5 of 113
- Health Informatics 76
- Toxicology 26
- Artificial Intelligence 128
- Health Information Management 17
- Family Practice 7
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 | 212 |
| 2 | 2022 | 41 | |
| 3 | 2024 | 39 | |
| 4 | Clinical Concept Embeddings Learned from Massive Sources of Medical Data. | 2018 | 17 |
| 5 | 2021 | 15 | |
| 6 | 2017 | 13 | |
| 7 | 2019 | 1 | |
| 8 | 2025 | 0 |
About Benjamin Kompa
Benjamin Kompa is a scholar working on Artificial Intelligence, Molecular Biology, Health Informatics, General Health Professions and Family Practice, having authored 8 papers that have together received 338 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper), Ocular Surface and Contact Lens (1 paper), Natural Language Processing Techniques (1 paper), COVID-19 diagnosis using AI (1 paper), Computational Drug Discovery Methods (1 paper), Glaucoma and retinal disorders (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (76 citations), Toxicology (26 citations), Artificial Intelligence (128 citations), Health Information Management (17 citations) and Family Practice (7 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, David M. Levine, Samuel G. Finlayson, Ateev Mehrotra, Michael R. Smith, Paul Bain, Stephen Woloszynek and Jeffery L. Painter. Their work appears in journals such as npj Digital Medicine, Drug Safety, The Lancet Digital Health, PLoS ONE and PubMed.
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.