Johan Verbeeck
Impact in
- Equine top 5%
- Veterinary Equine Medical Research
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
Papers in
-
- Statistical Methods in Clinical Trials 12
- Advanced Causal Inference Techniques 9
- Statistical Methods and Inference 4
- Genetics 6
- Co-authors
- F. Verschooten (2 shared papers)Geert Molenberghs (21 shared papers)Jorge E. Esteves (5 shared papers)Francesco Cerritelli (5 shared papers)Patrick L.S. van Dun (4 shared papers)William N. Anderson (3 shared papers)Bo Huang (3 shared papers)David C. Hoaglin (3 shared papers)
- Journals
- Orphanet Journal of Rare Diseases (5 papers)PLoS ONE (3 papers)Biometrics (3 papers)Journal of Biopharmaceutical Statistics (2 papers)Statistics in Medicine (2 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Johan Verbeeck
44 papers receiving 519 citations
Peers
Comparison fields: 5 of 101
- Equine 41
- Statistics and Probability 100
- Anatomy 15
- Modeling and Simulation 12
- Ceramics and Composites 15
Countries citing papers authored by Johan Verbeeck
This map shows the geographic impact of Johan Verbeeck'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 Johan Verbeeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Verbeeck more than expected).
Fields of papers citing papers by Johan Verbeeck
This network shows the impact of papers produced by Johan Verbeeck. 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 Johan Verbeeck. The network helps show where Johan Verbeeck may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Verbeeck, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 60 | |
| 2 | 2021 | 44 | |
| 3 | 2015 | 35 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 31 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 24 | |
| 8 | 1997 | 23 | |
| 9 | 1996 | 21 | |
| 10 | 2019 | 19 | |
| 11 | 2020 | 19 | |
| 12 | 2009 | 17 | |
| 13 | 2021 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2012 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2021 | 10 |
About Johan Verbeeck
Johan Verbeeck is a scholar working on Statistics and Probability, Genetics, Pharmacology, Materials Chemistry and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 538 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (12 papers), Advanced Causal Inference Techniques (9 papers), Musculoskeletal pain and rehabilitation (5 papers), COVID-19 epidemiological studies (4 papers), Statistical Methods and Inference (4 papers), Optimal Experimental Design Methods (4 papers), Complementary and Alternative Medicine Studies (3 papers) and Skin and Cellular Biology Research (3 papers). The work is most often cited by research in Equine (41 citations), Statistics and Probability (100 citations), Anatomy (15 citations), Modeling and Simulation (12 citations) and Ceramics and Composites (15 citations). Johan Verbeeck has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include F. Verschooten, Geert Molenberghs, Jorge E. Esteves, Francesco Cerritelli, Patrick L.S. van Dun, William N. Anderson, Bo Huang, David C. Hoaglin, Duolao Wang and Gaohong Dong. Their work appears in journals such as Orphanet Journal of Rare Diseases, PLoS ONE, Biometrics, Journal of Biopharmaceutical Statistics and Statistics in Medicine.
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.