Maria Bolsinova
- Management Science and Operations Research top 2%
- Experimental and Cognitive Psychology top 5%
- Statistics and Probability top 5%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Co-authors
- Jesper TijmstraDylan MolenaarPaul De BoeckGunter MarisMinjeong JeonJeroen K. VermuntYigal RosenAlina A. von Davier
- Topics
- Psychometric Methodologies and Testing (21 papers)Statistical Methods and Bayesian Inference (9 papers)Advanced Statistical Modeling Techniques (9 papers)
- Cited by
- Management Science and Operations ResearchExperimental and Cognitive PsychologyGeneral Decision Sciences
- Partner nations
- NetherlandsUnited StatesSlovakia
In The Last Decade
Maria Bolsinova
36 papers receiving 469 citations
Peers
Comparison fields: 5 of 64
- Management Science and Operations Research 236
- Experimental and Cognitive Psychology 173
- Statistics and Probability 107
- Developmental and Educational Psychology 101
- Artificial Intelligence 85
Countries citing papers authored by Maria Bolsinova
This map shows the geographic impact of Maria Bolsinova'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 Maria Bolsinova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Bolsinova more than expected).
Fields of papers citing papers by Maria Bolsinova
This network shows the impact of papers produced by Maria Bolsinova. 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 Maria Bolsinova. The network helps show where Maria Bolsinova may publish in the future.
Co-authorship network of co-authors of Maria Bolsinova
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Bolsinova. A scholar is included among the top collaborators of Maria Bolsinova 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 Maria Bolsinova. Maria Bolsinova 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 | 0 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 31 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | Assessment meets Learning: On the relation between Item Response Theory and Bayesian Knowledge Tracing | 1 |
| 15 | 37 | |
| 16 | 11 | |
| 17 | 31 | |
| 18 | 4 | |
| 19 | 63 | |
| 20 | 5 |
About Maria Bolsinova
Maria Bolsinova is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Science Applications, having authored 41 papers that have together received 492 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (21 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Modeling Techniques (9 papers). The work is most often cited by research in Management Science and Operations Research (236 citations), Experimental and Cognitive Psychology (173 citations) and General Decision Sciences (24 citations). Maria Bolsinova has collaborated with scholars based in Netherlands, United States and Slovakia. Frequent co-authors include Jesper Tijmstra, Dylan Molenaar, Paul De Boeck, Gunter Maris, Minjeong Jeon, Jeroen K. Vermunt, Yigal Rosen, Alina A. von Davier, Michael Yudelson and Sándor Rózsa. Their work appears in journals such as Scientific Reports, Computers in Human Behavior and Frontiers in 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.