Jesper Tijmstra
- Management Science and Operations Research top 2%
- Experimental and Cognitive Psychology top 10%
- Statistics and Probability top 5%
- Computer Networks and Communications top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Maria BolsinovaKlaas SijtsmaL. Andries van der ArkPaul De BoeckDylan MolenaarJean‐Paul FoxBernard P. VeldkampMinjeong Jeon
- Topics
- Psychometric Methodologies and Testing (24 papers)Advanced Statistical Modeling Techniques (12 papers)Statistical Methods and Bayesian Inference (6 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityExperimental and Cognitive Psychology
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
Jesper Tijmstra
25 papers receiving 577 citations
Peers
Comparison fields: 5 of 106
- Management Science and Operations Research 237
- Experimental and Cognitive Psychology 146
- Statistics and Probability 111
- Computer Networks and Communications 82
- Developmental and Educational Psychology 70
Countries citing papers authored by Jesper Tijmstra
This map shows the geographic impact of Jesper Tijmstra'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 Jesper Tijmstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesper Tijmstra more than expected).
Fields of papers citing papers by Jesper Tijmstra
This network shows the impact of papers produced by Jesper Tijmstra. 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 Jesper Tijmstra. The network helps show where Jesper Tijmstra may publish in the future.
Co-authorship network of co-authors of Jesper Tijmstra
This figure shows the co-authorship network connecting the top 25 collaborators of Jesper Tijmstra. A scholar is included among the top collaborators of Jesper Tijmstra 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 Jesper Tijmstra. Jesper Tijmstra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 37 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 31 | |
| 15 | 63 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 63 | |
| 19 | 5 | |
| 20 | 5 |
About Jesper Tijmstra
Jesper Tijmstra is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 29 papers that have together received 595 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (24 papers), Advanced Statistical Modeling Techniques (12 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Management Science and Operations Research (237 citations), Statistics and Probability (111 citations) and Experimental and Cognitive Psychology (146 citations). Jesper Tijmstra has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Maria Bolsinova, Klaas Sijtsma, L. Andries van der Ark, Paul De Boeck, Dylan Molenaar, Jean‐Paul Fox, Bernard P. Veldkamp, Minjeong Jeon, Jeroen K. Vermunt and Kim De Roover. Their work appears in journals such as Frontiers in Psychology, Psychonomic Bulletin & Review and Psychometrika.
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.