Jan Schepers
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Milk Quality and Mastitis in Dairy Cows
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- Advanced Combinatorial Mathematics
Papers in
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- Algebraic Geometry and Number Theory 9
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- Bayesian Methods and Mixture Models 6
- Advanced Clustering Algorithms Research 5
- Co-authors
- John McInerney (1 shared paper)Keith Howe (1 shared paper)Iven Van Mechelen (8 shared papers)A.A. Dijkhuizen (1 shared paper)Rianne Janssen (1 shared paper)Eva Ceulemans (3 shared papers)Gerjo Kok (4 shared papers)Madelon L. Peters (4 shared papers)
- Journals
- Journal of Classification (4 papers)Behavior Research Methods (2 papers)BioMed Research International (2 papers)Preventive Veterinary Medicine (2 papers)Computational Statistics & Data Analysis (2 papers)
- Partner nations
- NetherlandsBelgiumGermany
In The Last Decade
Jan Schepers
53 papers receiving 838 citations
Peers
Comparison fields: 5 of 146
- Agronomy and Crop Science 181
- Discrete Mathematics and Combinatorics 43
- Algebra and Number Theory 41
- Computational Mathematics 5
- Small Animals 44
Countries citing papers authored by Jan Schepers
This map shows the geographic impact of Jan Schepers'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 Schepers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Schepers more than expected).
Fields of papers citing papers by Jan Schepers
This network shows the impact of papers produced by Jan Schepers. 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 Schepers. The network helps show where Jan Schepers may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Schepers, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 164 | |
| 2 | 2004 | 77 | |
| 3 | 1991 | 76 | |
| 4 | 2016 | 48 | |
| 5 | 2008 | 41 | |
| 6 | 2018 | 38 | |
| 7 | 2011 | 37 | |
| 8 | 2018 | 34 | |
| 9 | 2009 | 27 | |
| 10 | 2006 | 24 | |
| 11 | 2013 | 21 | |
| 12 | 2017 | 19 | |
| 13 | 2017 | 17 | |
| 14 | 2012 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2014 | 16 | |
| 17 | 2013 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2015 | 15 | |
| 20 | 2023 | 14 |
About Jan Schepers
Jan Schepers is a scholar working on Geometry and Topology, Artificial Intelligence, Algebra and Number Theory, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 55 papers that have together received 886 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (9 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Combinatorial Mathematics (5 papers), Advanced Clustering Algorithms Research (5 papers), Commutative Algebra and Its Applications (4 papers), Polynomial and algebraic computation (4 papers), Advanced Statistical Methods and Models (3 papers) and Advanced Mathematical Identities (3 papers). The work is most often cited by research in Agronomy and Crop Science (181 citations), Discrete Mathematics and Combinatorics (43 citations), Algebra and Number Theory (41 citations), Computational Mathematics (5 citations) and Small Animals (44 citations). Jan Schepers has collaborated with scholars based in Netherlands, Belgium and Germany. Frequent co-authors include John McInerney, Keith Howe, Iven Van Mechelen, A.A. Dijkhuizen, Rianne Janssen, Eva Ceulemans, Gerjo Kok, Madelon L. Peters, Joeri Hofmans and Marco A. E. Marcus. Their work appears in journals such as Journal of Classification, Behavior Research Methods, BioMed Research International, Preventive Veterinary Medicine and Computational Statistics & Data Analysis.
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.