Thomas P. A. Debray
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Statistics, Probability and Uncertainty top 0.2%
- Statistics and Probability top 0.5%
- Co-authors
- Karel G.M. MoonsRichard D RileyKym I E SnellGary S. CollinsJohannes B. ReitsmaJoie EnsorLotty HooftHendrik Koffijberg
- Topics
- Meta-analysis and systematic reviews (40 papers)Health Systems, Economic Evaluations, Quality of Life (37 papers)Advanced Causal Inference Techniques (24 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Thomas P. A. Debray
101 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Epidemiology 1.1k
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 951
- Statistics, Probability and Uncertainty 817
- Statistics and Probability 777
Countries citing papers authored by Thomas P. A. Debray
This map shows the geographic impact of Thomas P. A. Debray'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 Thomas P. A. Debray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas P. A. Debray more than expected).
Fields of papers citing papers by Thomas P. A. Debray
This network shows the impact of papers produced by Thomas P. A. Debray. 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 Thomas P. A. Debray. The network helps show where Thomas P. A. Debray may publish in the future.
Co-authorship network of co-authors of Thomas P. A. Debray
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. A. Debray. A scholar is included among the top collaborators of Thomas P. A. Debray 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 Thomas P. A. Debray. Thomas P. A. Debray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Developing clinical prediction models: a step-by-step guidebreakdown → | 73 |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 36 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 87 | |
| 17 | 15 | |
| 18 | 18 | |
| 19 | 37 | |
| 20 | 130 |
About Thomas P. A. Debray
Thomas P. A. Debray is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Health Informatics, having authored 108 papers that have together received 6.4k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (40 papers), Health Systems, Economic Evaluations, Quality of Life (37 papers) and Advanced Causal Inference Techniques (24 papers). The work is most often cited by research in Health Informatics (304 citations), Statistics, Probability and Uncertainty (817 citations) and Statistics and Probability (777 citations). Thomas P. A. Debray has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Karel G.M. Moons, Richard D Riley, Kym I E Snell, Gary S. Collins, Johannes B. Reitsma, Joie Ensor, Lotty Hooft, Hendrik Koffijberg, Johanna AAG Damen and Ewout W. Steyerberg. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.
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.