Bram Duyx
Impact in
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- Meta-analysis and systematic reviews
- scientometrics and bibliometrics research
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- Academic Writing and Publishing
Papers in
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- Meta-analysis and systematic reviews 6
- Reliability and Agreement in Measurement 2
- scientometrics and bibliometrics research 2
- Co-authors
- Maurice P. Zeegers (9 shared papers)Miriam Urlings (9 shared papers)Gerard M. H. Swaen (9 shared papers)L.M. Bouter (9 shared papers)Mar Pujades‐Rodríguez (4 shared papers)Harry Hemingway (4 shared papers)Dimitris Stogiannis (2 shared papers)Liam Smeeth (2 shared papers)
- Journals
- Journal of Clinical Epidemiology (3 papers)PLoS ONE (3 papers)BMJ Open (2 papers)Heart (1 paper)Science and Engineering Ethics (1 paper)
- Partner nations
- NetherlandsUnited KingdomTaiwan
In The Last Decade
Bram Duyx
13 papers receiving 380 citations
Peers
Comparison fields: 5 of 118
- Statistics, Probability and Uncertainty 110
- History and Philosophy of Science 37
- Health Informatics 9
- Rheumatology 65
- Cardiology and Cardiovascular Medicine 87
Countries citing papers authored by Bram Duyx
This map shows the geographic impact of Bram Duyx'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 Bram Duyx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Duyx more than expected).
Fields of papers citing papers by Bram Duyx
This network shows the impact of papers produced by Bram Duyx. 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 Bram Duyx. The network helps show where Bram Duyx may publish in the future.
Co-authors
The 20 scholars most cited alongside Bram Duyx, 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 | 2017 | 125 | |
| 2 | 2020 | 63 | |
| 3 | 2016 | 44 | |
| 4 | 2016 | 44 | |
| 5 | 2018 | 33 | |
| 6 | 2018 | 27 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 3 |
About Bram Duyx
Bram Duyx is a scholar working on Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine, Sociology and Political Science, Health, Toxicology and Mutagenesis and History and Philosophy of Science, having authored 13 papers that have together received 397 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Delphi Technique in Research (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Academic Writing and Publishing (2 papers), Reliability and Agreement in Measurement (2 papers), Systemic Lupus Erythematosus Research (2 papers), scientometrics and bibliometrics research (2 papers) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (110 citations), History and Philosophy of Science (37 citations), Health Informatics (9 citations), Rheumatology (65 citations) and Cardiology and Cardiovascular Medicine (87 citations). Bram Duyx has collaborated with scholars based in Netherlands, United Kingdom and Taiwan. Frequent co-authors include Maurice P. Zeegers, Miriam Urlings, Gerard M. H. Swaen, L.M. Bouter, Mar Pujades‐Rodríguez, Harry Hemingway, Dimitris Stogiannis, Liam Smeeth, Sara L. Thomas and Anisur Rahman. Their work appears in journals such as Journal of Clinical Epidemiology, PLoS ONE, BMJ Open, Heart and Science and Engineering Ethics.
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.