Eugene Tseytlin
- Artificial Intelligence top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Public Health, Environmental and Occupational Health
- Family Practice top 2%
- Co-authors
- Elizabeth LegowskiRebecca S. CrowleyOlga MedvedevaD.M. JukicMelissa CastineRebecca S. JacobsonTanja BekhuisGirish Chavan
- Topics
- Biomedical Text Mining and Ontologies (10 papers)Clinical Reasoning and Diagnostic Skills (10 papers)AI in cancer detection (6 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Eugene Tseytlin
27 papers receiving 659 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 341
- Molecular Biology 171
- Radiology, Nuclear Medicine and Imaging 133
- Public Health, Environmental and Occupational Health 107
- Family Practice 101
Countries citing papers authored by Eugene Tseytlin
This map shows the geographic impact of Eugene Tseytlin'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 Eugene Tseytlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Tseytlin more than expected).
Fields of papers citing papers by Eugene Tseytlin
This network shows the impact of papers produced by Eugene Tseytlin. 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 Eugene Tseytlin. The network helps show where Eugene Tseytlin may publish in the future.
Co-authorship network of co-authors of Eugene Tseytlin
This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Tseytlin. A scholar is included among the top collaborators of Eugene Tseytlin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugene Tseytlin. Eugene Tseytlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 52 | |
| 3 | DeepPhe - A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records. | 1 |
| 4 | 8 | |
| 5 | 72 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 10 | |
| 11 | 37 | |
| 12 | Fostering Diagnostic Accuracy in a Medical Intelligent Tutoring System. | 1 |
| 13 | 62 | |
| 14 | 42 | |
| 15 | 41 | |
| 16 | 25 | |
| 17 | 39 | |
| 18 | 34 | |
| 19 | 36 | |
| 20 | 62 |
About Eugene Tseytlin
Eugene Tseytlin is a scholar working on Family Practice, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 692 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Clinical Reasoning and Diagnostic Skills (10 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Health Informatics (66 citations), Family Practice (101 citations) and Artificial Intelligence (341 citations). Eugene Tseytlin has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Elizabeth Legowski, Rebecca S. Crowley, Olga Medvedeva, D.M. Jukic, Melissa Castine, Rebecca S. Jacobson, Tanja Bekhuis, Girish Chavan, Kevin J. Mitchell and Roger Azevedo. Their work appears in journals such as PLoS ONE, Cancer Research and BMC Bioinformatics.
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.