Irene Klugkist
- Statistics and Probability top 1%
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 5%
- Clinical Psychology top 5%
- Artificial Intelligence top 10%
- Co-authors
- Herbert HoijtinkJolien CremersPaul A. BoelenOlav LaudyJoris MulderAlbert PostmaIris M. EngelhardMaurits W. van der Molen
- Topics
- Statistical Methods and Bayesian Inference (21 papers)Advanced Statistical Methods and Models (11 papers)Bayesian Methods and Mixture Models (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Abnormal Psychology
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Irene Klugkist
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 161
- Statistics and Probability 443
- Experimental and Cognitive Psychology 334
- Cognitive Neuroscience 315
- Clinical Psychology 292
- Artificial Intelligence 190
Countries citing papers authored by Irene Klugkist
This map shows the geographic impact of Irene Klugkist'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 Irene Klugkist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Klugkist more than expected).
Fields of papers citing papers by Irene Klugkist
This network shows the impact of papers produced by Irene Klugkist. 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 Irene Klugkist. The network helps show where Irene Klugkist may publish in the future.
Co-authorship network of co-authors of Irene Klugkist
This figure shows the co-authorship network connecting the top 25 collaborators of Irene Klugkist. A scholar is included among the top collaborators of Irene Klugkist 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 Irene Klugkist. Irene Klugkist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 41 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 36 | |
| 14 | 120 | |
| 15 | A Fortran 90 Program for Confirmatory Analysis of Variance | 2 |
| 16 | 47 | |
| 17 | 30 | |
| 18 | 31 | |
| 19 | Editorial introduction to the special issue on Bayesian model selection. | 7 |
| 20 | 143 |
About Irene Klugkist
Irene Klugkist is a scholar working on Statistics and Probability, Experimental and Cognitive Psychology and Statistics, Probability and Uncertainty, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (21 papers), Advanced Statistical Methods and Models (11 papers) and Bayesian Methods and Mixture Models (10 papers). The work is most often cited by research in Statistics and Probability (443 citations), General Decision Sciences (73 citations) and Experimental and Cognitive Psychology (334 citations). Irene Klugkist has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Herbert Hoijtink, Jolien Cremers, Paul A. Boelen, Olav Laudy, Joris Mulder, Albert Postma, Iris M. Engelhard, Maurits W. van der Molen, Johannes E. H. Van Luit and Marian J. Jongmans. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Abnormal Psychology.
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.