Bethany Percha
Impact in
- Health Informatics top 5%
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
Papers in ⓘ
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- Biomedical Text Mining and Ontologies 11
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- Topic Modeling 4
- Natural Language Processing Techniques 3
- Advanced Text Analysis Techniques 3
- Machine Learning in Healthcare 2
- Co-authors
- Russ B. Altman (8 shared papers)Yael Garten (1 shared paper)Rhonda Dzakpasu (1 shared paper)Michał Żochowski (1 shared paper)Jack M. Parent (1 shared paper)Betsy Foxman (4 shared papers)M. E. J. Newman (2 shared papers)Sevgi O. Aral (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (5 papers)Infection Genetics and Evolution (1 paper)Sexually Transmitted Diseases (1 paper)Blood (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesTürkiyeCanada
In The Last Decade
Bethany Percha
25 papers receiving 925 citations
Peers
Comparison fields: 5 of 127
- Health Informatics 27
- Toxicology 51
- Computational Theory and Mathematics 230
- Pharmacology 98
- Health Information Management 42
Countries citing papers authored by Bethany Percha
This map shows the geographic impact of Bethany Percha'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 Bethany Percha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bethany Percha more than expected).
Fields of papers citing papers by Bethany Percha
This network shows the impact of papers produced by Bethany Percha. 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 Bethany Percha. The network helps show where Bethany Percha may publish in the future.
Co-authors
The 25 scholars most cited alongside Bethany Percha, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 157 | |
| 2 | 2005 | 119 | |
| 3 | 2011 | 97 | |
| 4 | 2018 | 82 | |
| 5 | 2006 | 64 | |
| 6 | 2020 | 60 | |
| 7 | 2012 | 46 | |
| 8 | 2013 | 42 | |
| 9 | 2014 | 40 | |
| 10 | 2014 | 32 | |
| 11 | 2015 | 30 | |
| 12 | 2021 | 29 | |
| 13 | 2011 | 28 | |
| 14 | 2019 | 22 | |
| 15 | 2017 | 19 | |
| 16 | 2019 | 17 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 7 | |
| 20 | 2020 | 7 |
About Bethany Percha
Bethany Percha is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 25 papers that have together received 942 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Computational Drug Discovery Methods (4 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Machine Learning in Healthcare (2 papers) and Antibiotic Use and Resistance (2 papers). The work is most often cited by research in Health Informatics (27 citations), Toxicology (51 citations), Computational Theory and Mathematics (230 citations), Pharmacology (98 citations) and Health Information Management (42 citations). Bethany Percha has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Russ B. Altman, Yael Garten, Rhonda Dzakpasu, Michał Żochowski, Jack M. Parent, Betsy Foxman, M. E. J. Newman, Sevgi O. Aral, King K. Holmes and Nigam H. Shah. Their work appears in journals such as Journal of the American Medical Informatics Association, Infection Genetics and Evolution, Sexually Transmitted Diseases, Blood and 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.