Jan Van Haaren
- Economics and Econometrics top 10%
- Orthopedics and Sports Medicine top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Jesse DavisTom DecroosGuy Van den BroeckMichel van de VeldenWannes MeertAndrey KolobovHoresh Ben ShitritPascal Fua
- Topics
- Sports Analytics and Performance (16 papers)Sports Performance and Training (9 papers)Time Series Analysis and Forecasting (5 papers)
- Journals
- Machine LearningScandinavian Journal of Medicine and Science in SportsLecture notes in computer science
- Partner nations
- BelgiumNetherlandsHungary
In The Last Decade
Jan Van Haaren
23 papers receiving 244 citations
Peers
Comparison fields: 5 of 45
- Economics and Econometrics 153
- Orthopedics and Sports Medicine 100
- Artificial Intelligence 93
- Computer Vision and Pattern Recognition 73
- Signal Processing 51
Countries citing papers authored by Jan Van Haaren
This map shows the geographic impact of Jan Van Haaren'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 Jan Van Haaren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Van Haaren more than expected).
Fields of papers citing papers by Jan Van Haaren
This network shows the impact of papers produced by Jan Van Haaren. 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 Jan Van Haaren. The network helps show where Jan Van Haaren may publish in the future.
Co-authorship network of co-authors of Jan Van Haaren
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Van Haaren. A scholar is included among the top collaborators of Jan Van Haaren 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 Jan Van Haaren. Jan Van Haaren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | How does context affect player performance in football | 1 |
| 5 | 14 | |
| 6 | 9 | |
| 7 | Choke or Shine? Quantifying Soccer Players' Abilities to Perform Under Mental Pressure | 9 |
| 8 | 46 | |
| 9 | STARSS: A Spatio-Temporal Action Rating System for Soccer. | 5 |
| 10 | 26 | |
| 11 | Predicting the Potential of Professional Soccer Players. | 4 |
| 12 | 16 | |
| 13 | MLSA15 - Proceedings of "Machine Learning and Data Mining for Sports Analytics", workshop @ ECML/PKDD 2015 | 1 |
| 14 | Strategy discovery in professional soccer match data | 5 |
| 15 | 16 | |
| 16 | 20 | |
| 17 | Tractable learning of liftable Markov logic networks | 3 |
| 18 | 9 | |
| 19 | Exploring Disease Interactions Using Markov Networks | 2 |
| 20 | Towards an Automated Pattern Selection Procedure in Software Models. | 2 |
About Jan Van Haaren
Jan Van Haaren is a scholar working on Orthopedics and Sports Medicine, Economics and Econometrics and Signal Processing, having authored 24 papers that have together received 255 indexed citations. Recurring topics across this work include Sports Analytics and Performance (16 papers), Sports Performance and Training (9 papers) and Time Series Analysis and Forecasting (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (100 citations), Economics and Econometrics (153 citations) and Signal Processing (51 citations). Jan Van Haaren has collaborated with scholars based in Belgium, Netherlands and Hungary. Frequent co-authors include Jesse Davis, Tom Decroos, Guy Van den Broeck, Michel van de Velden, Wannes Meert, Andrey Kolobov, Horesh Ben Shitrit, Pascal Fua, László Toka and Albrecht Zimmermann. Their work appears in journals such as Machine Learning, Scandinavian Journal of Medicine and Science in Sports and Lecture notes in computer science.
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.