Wicher Bergsma
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Computer Networks and Communications
- Sociology and Political Science
- Co-authors
- Tamás RudasAngelos DassiosL. Andries van der ArkMarcel A. CroonJacques A. HagenaarsJeroen K. VermuntFrancisca Galindo‐GarreRudy Ligtvoet
- Topics
- Statistical Methods and Inference (15 papers)Advanced Statistical Methods and Models (12 papers)Statistical Methods and Bayesian Inference (9 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- United KingdomNetherlandsIndia
In The Last Decade
Wicher Bergsma
23 papers receiving 485 citations
Peers
Comparison fields: 5 of 116
- Statistics and Probability 267
- Artificial Intelligence 176
- Management Science and Operations Research 96
- Computer Networks and Communications 42
- Sociology and Political Science 33
Countries citing papers authored by Wicher Bergsma
This map shows the geographic impact of Wicher Bergsma'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 Wicher Bergsma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wicher Bergsma more than expected).
Fields of papers citing papers by Wicher Bergsma
This network shows the impact of papers produced by Wicher Bergsma. 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 Wicher Bergsma. The network helps show where Wicher Bergsma may publish in the future.
Co-authorship network of co-authors of Wicher Bergsma
This figure shows the co-authorship network connecting the top 25 collaborators of Wicher Bergsma. A scholar is included among the top collaborators of Wicher Bergsma 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 Wicher Bergsma. Wicher Bergsma 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 | 76 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 81 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 29 | |
| 10 | Marginal models for dependent, clustered, and longitudinal categorical data | 47 |
| 11 | 0 | |
| 12 | Cmm (version 0.1): Categorial marginal models. R package version 0.1 | 6 |
| 13 | 14 | |
| 14 | Marginal conditional independence models with application to graphical modeling | 3 |
| 15 | An exact penalty method for smooth equality constrained optimization with application to maximum likelihood estimation | 5 |
| 16 | 6 | |
| 17 | On applications of marginal models for categorical data | 6 |
| 18 | Testing conditional independence for continuous random variables | 23 |
| 19 | 7 | |
| 20 | 9 |
About Wicher Bergsma
Wicher Bergsma is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, having authored 27 papers that have together received 538 indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (12 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Statistics and Probability (267 citations), Management Science and Operations Research (96 citations) and Artificial Intelligence (176 citations). Wicher Bergsma has collaborated with scholars based in United Kingdom, Netherlands and India. Frequent co-authors include Tamás Rudas, Angelos Dassios, L. Andries van der Ark, Marcel A. Croon, Jacques A. Hagenaars, Jeroen K. Vermunt, Francisca Galindo‐Garre, Rudy Ligtvoet, Klaas Sijtsma and Felicián Németh. Their work appears in journals such as Biometrika, The Annals of Statistics 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.