Joël Kuiper
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Meta-analysis and systematic reviews
Papers in
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- Biomedical Text Mining and Ontologies 7
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- Machine Learning in Healthcare 4
- Topic Modeling 4
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Iain Marshall (8 shared papers)Byron Wallace (8 shared papers)James Thomas (2 shared papers)Anna H Noel-Storr (2 shared papers)Edward A. Banner (1 shared paper)Frank Soboczenski (2 shared papers)Ruud F. Spee (1 shared paper)Niels Peek (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (3 papers)Biopreservation and Biobanking (1 paper)Human Mutation (1 paper)International Journal of Cardiology (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Joël Kuiper
15 papers receiving 840 citations
Peers
Comparison fields: 5 of 117
- Health Informatics 95
- Statistics, Probability and Uncertainty 256
- Artificial Intelligence 255
- Complementary and alternative medicine 52
- Information Systems and Management 34
Countries citing papers authored by Joël Kuiper
This map shows the geographic impact of Joël Kuiper'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 Joël Kuiper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joël Kuiper more than expected).
Fields of papers citing papers by Joël Kuiper
This network shows the impact of papers produced by Joël Kuiper. 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 Joël Kuiper. The network helps show where Joël Kuiper may publish in the future.
Co-authors
The 25 scholars most cited alongside Joël Kuiper, 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 | 2018 | 281 | |
| 2 | 2015 | 182 | |
| 3 | Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision. | 2016 | 79 |
| 4 | 2016 | 57 | |
| 5 | 2017 | 54 | |
| 6 | 2020 | 43 | |
| 7 | 2019 | 40 | |
| 8 | 2015 | 38 | |
| 9 | 2015 | 29 | |
| 10 | 2014 | 20 | |
| 11 | 2014 | 20 | |
| 12 | Crowdsourcing a Comprehensive Clinical Trial Repository | 2014 | 2 |
| 13 | 2012 | 2 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 1 |
About Joël Kuiper
Joël Kuiper is a scholar working on Molecular Biology, Artificial Intelligence, Statistics, Probability and Uncertainty, Information Systems and Management and Health Informatics, having authored 15 papers that have together received 849 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Meta-analysis and systematic reviews (5 papers), Machine Learning in Healthcare (4 papers), Topic Modeling (4 papers), Scientific Computing and Data Management (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Genomics and Rare Diseases (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (95 citations), Statistics, Probability and Uncertainty (256 citations), Artificial Intelligence (255 citations), Complementary and alternative medicine (52 citations) and Information Systems and Management (34 citations). Joël Kuiper has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Iain Marshall, Byron Wallace, James Thomas, Anna H Noel-Storr, Edward A. Banner, Frank Soboczenski, Ruud F. Spee, Niels Peek, Hareld Kemps and Tom Vromen. Their work appears in journals such as Journal of the American Medical Informatics Association, Biopreservation and Biobanking, Human Mutation, International Journal of Cardiology and IEEE Journal of Biomedical and Health Informatics.
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.