Radim Jiroušek
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Prakash P. ShenoyPetr HájekTomáš HavránekJiřina VejnarováMilan DanielJohannes RauhNicholas KushmerickGernot D. Kleiter
- Topics
- Bayesian Modeling and Causal Inference (23 papers)Multi-Criteria Decision Making (12 papers)Logic, Reasoning, and Knowledge (8 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistics and Probability
- Partner nations
- CzechiaUnited StatesGermany
In The Last Decade
Radim Jiroušek
35 papers receiving 687 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 464
- Management Science and Operations Research 220
- Computational Theory and Mathematics 110
- Information Systems 98
- Computer Networks and Communications 81
Countries citing papers authored by Radim Jiroušek
This map shows the geographic impact of Radim Jiroušek'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 Radim Jiroušek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radim Jiroušek more than expected).
Fields of papers citing papers by Radim Jiroušek
This network shows the impact of papers produced by Radim Jiroušek. 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 Radim Jiroušek. The network helps show where Radim Jiroušek may publish in the future.
Co-authorship network of co-authors of Radim Jiroušek
This figure shows the co-authorship network connecting the top 25 collaborators of Radim Jiroušek. A scholar is included among the top collaborators of Radim Jiroušek 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 Radim Jiroušek. Radim Jiroušek 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 | 1 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 38 | |
| 6 | 2 | |
| 7 | 127 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | A SHORT NOTE ON MULTIVARIATE DEPENDENCE MODELING | 3 |
| 11 | 14 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | Marginalization in multidimensional compositional models | 4 |
| 15 | On Approximating Multidimensional Probability Distributions by Compositional Models. | 1 |
| 16 | Special issue on uncertainty processing. | 1 |
| 17 | 2 | |
| 18 | Solution of the marginal problem and decomposable distributions | 25 |
| 19 | 301 | |
| 20 | 4 |
About Radim Jiroušek
Radim Jiroušek is a scholar working on General Decision Sciences, Management Science and Operations Research and Artificial Intelligence, having authored 37 papers that have together received 767 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (23 papers), Multi-Criteria Decision Making (12 papers) and Logic, Reasoning, and Knowledge (8 papers). The work is most often cited by research in Management Science and Operations Research (220 citations), Artificial Intelligence (464 citations) and Statistics and Probability (72 citations). Radim Jiroušek has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Prakash P. Shenoy, Petr Hájek, Tomáš Havránek, Jiřina Vejnarová, Milan Daniel, Johannes Rauh, Nicholas Kushmerick and Gernot D. Kleiter. Their work appears in journals such as Automatica, Knowledge-Based Systems 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.