Hans Van Eetvelde
Impact in
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- Sports Performance and Training
- Sports injuries and prevention
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Sports Analytics and Performance 3
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- Sports Performance and Training 2
- Co-authors
- Christophe Ley (4 shared papers)Luciana De Michelis Mendonça (1 shared paper)Thomas Tischer (1 shared paper)Romain Seil (1 shared paper)Andreas Groll (1 shared paper)Gunther Schauberger (1 shared paper)Lars Magnus Hvattum (1 shared paper)Ulf Brefeld (1 shared paper)
- Journals
- Journal of Quantitative Analysis in Sports (1 paper)Journal of Experimental Orthopaedics (1 paper)Multilingual Matters (Channel View Publications) (1 paper)RePEc: Research Papers in Economics (1 paper)
In The Last Decade
Hans Van Eetvelde
4 papers receiving 209 citations
Hans Van Eetvelde's Hit Papers
Peers
Comparison fields: 5 of 51
- Orthopedics and Sports Medicine 105
- Health Informatics 11
- Economics and Econometrics 61
- Physical Therapy, Sports Therapy and Rehabilitation 5
- Cardiology and Cardiovascular Medicine 23
Countries citing papers authored by Hans Van Eetvelde
This map shows the geographic impact of Hans Van Eetvelde'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 Hans Van Eetvelde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Van Eetvelde more than expected).
Fields of papers citing papers by Hans Van Eetvelde
This network shows the impact of papers produced by Hans Van Eetvelde. 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 Hans Van Eetvelde. The network helps show where Hans Van Eetvelde may publish in the future.
Co-authors
The 9 scholars most cited alongside Hans Van Eetvelde, 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 | Machine learning methods in sport injury prediction and prevention: a systematic review Hit paper breakdown → | 2021 | 169 |
| 2 | 2019 | 35 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 4 |
About Hans Van Eetvelde
Hans Van Eetvelde is a scholar working on Economics and Econometrics, Orthopedics and Sports Medicine, Nature and Landscape Conservation, Computer Vision and Pattern Recognition and Signal Processing, having authored 4 papers that have together received 215 indexed citations. Recurring topics across this work include Sports Analytics and Performance (3 papers), Sports Performance and Training (2 papers), Time Series Analysis and Forecasting (1 paper), Data Visualization and Analytics (1 paper), Sports Dynamics and Biomechanics (1 paper) and Forest ecology and management (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (105 citations), Health Informatics (11 citations), Economics and Econometrics (61 citations), Physical Therapy, Sports Therapy and Rehabilitation (5 citations) and Cardiology and Cardiovascular Medicine (23 citations). Hans Van Eetvelde has collaborated with scholars based in Belgium, Germany and Norway. Frequent co-authors include Christophe Ley, Luciana De Michelis Mendonça, Thomas Tischer, Romain Seil, Andreas Groll, Gunther Schauberger, Lars Magnus Hvattum, Ulf Brefeld and Claus Thorn Ekstrøm. Their work appears in journals such as Journal of Quantitative Analysis in Sports, Journal of Experimental Orthopaedics, Multilingual Matters (Channel View Publications) and RePEc: Research Papers in Economics.
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.