Jenna Reps
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 19
- Epidemiology 11
- Chronic Disease Management Strategies 7
- Co-authors
- Jonathan M. Garibaldi (11 shared papers)Stephen Weng (1 shared paper)Nadeem Qureshi (1 shared paper)Joe Kai (1 shared paper)Patrick Ryan (19 shared papers)Peter R. Rijnbeek (18 shared papers)M. Soledad Cepeda (7 shared papers)Martijn J. Schuemie (8 shared papers)
- Journals
- PLoS ONE (6 papers)Drug Safety (5 papers)BMC Medical Research Methodology (3 papers)BMC Medical Informatics and Decision Making (3 papers)Journal of the American Medical Informatics Association (3 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Jenna Reps
59 papers receiving 1.6k citations
Jenna Reps's Hit Papers
Peers
Comparison fields: 5 of 137
- Health Informatics 187
- Health Information Management 478
- Medical Laboratory Technology 29
- Toxicology 63
- Artificial Intelligence 547
Countries citing papers authored by Jenna Reps
This map shows the geographic impact of Jenna Reps'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 Jenna Reps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenna Reps more than expected).
Fields of papers citing papers by Jenna Reps
This network shows the impact of papers produced by Jenna Reps. 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 Jenna Reps. The network helps show where Jenna Reps may publish in the future.
Co-authors
The 25 scholars most cited alongside Jenna Reps, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Can machine-learning improve cardiovascular risk prediction using routine clinical data? Hit paper breakdown → | 2017 | 820 |
| 2 | 2018 | 119 | |
| 3 | 2018 | 62 | |
| 4 | 2020 | 47 | |
| 5 | 2014 | 42 | |
| 6 | 2019 | 39 | |
| 7 | 2017 | 36 | |
| 8 | 2024 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2021 | 25 | |
| 11 | 2016 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2022 | 22 | |
| 14 | 2020 | 22 | |
| 15 | 2015 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2020 | 14 |
About Jenna Reps
Jenna Reps is a scholar working on Artificial Intelligence, Epidemiology, Toxicology, Health Information Management and Public Health, Environmental and Occupational Health, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (19 papers), Pharmacovigilance and Adverse Drug Reactions (8 papers), Chronic Disease Management Strategies (7 papers), Artificial Intelligence in Healthcare (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Colorectal Cancer Screening and Detection (5 papers), Treatment of Major Depression (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Health Informatics (187 citations), Health Information Management (478 citations), Medical Laboratory Technology (29 citations), Toxicology (63 citations) and Artificial Intelligence (547 citations). Jenna Reps has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Jonathan M. Garibaldi, Stephen Weng, Nadeem Qureshi, Joe Kai, Patrick Ryan, Peter R. Rijnbeek, M. Soledad Cepeda, Martijn J. Schuemie, Marc A. Suchard and Uwe Aickelin. Their work appears in journals such as PLoS ONE, Drug Safety, BMC Medical Research Methodology, BMC Medical Informatics and Decision Making and Journal of the American Medical Informatics Association.
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.