Jiří Mazurek
- Management Science and Operations Research top 5%
- Economics and Econometrics
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Signal Processing
- Co-authors
- Jaroslav Ramı́kDominik StrzałkaKonrad KułakowskiMichael SoltysWaldemar W. KoczkodajJean-Pierre MagnotHojjat RakhshaniWitold Pedrycz
- Topics
- Multi-Criteria Decision Making (20 papers)Rough Sets and Fuzzy Logic (10 papers)Economic Growth and Productivity (8 papers)
- Cited by
- Management Science and Operations ResearchModeling and SimulationComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEEuropean Journal of Operational Research
In The Last Decade
Jiří Mazurek
37 papers receiving 240 citations
Peers
Comparison fields: 5 of 84
- Management Science and Operations Research 121
- Economics and Econometrics 57
- Artificial Intelligence 46
- Computational Theory and Mathematics 40
- Signal Processing 21
Countries citing papers authored by Jiří Mazurek
This map shows the geographic impact of Jiří Mazurek'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 Jiří Mazurek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Mazurek more than expected).
Fields of papers citing papers by Jiří Mazurek
This network shows the impact of papers produced by Jiří Mazurek. 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 Jiří Mazurek. The network helps show where Jiří Mazurek may publish in the future.
Co-authorship network of co-authors of Jiří Mazurek
This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Mazurek. A scholar is included among the top collaborators of Jiří Mazurek 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 Jiří Mazurek. Jiří Mazurek 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 | 6 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 19 | |
| 14 | 28 | |
| 15 | 5 | |
| 16 | DISCOVERING KNOWLEDGE WITH THE ROUGH SET APPROACH | 2 |
| 17 | On beta and sigma convergence of Czech regions | 1 |
| 18 | THE EVALUATION OF CONFLICTS' DEGREE IN GROUP DECISION MAKING | 1 |
| 19 | 1 | |
| 20 | ON PRE-SELECTION OF ALTERNATIVES IN THE ANALYTIC HIERARCHY PROCESS | 1 |
About Jiří Mazurek
Jiří Mazurek is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and General Economics, Econometrics and Finance, having authored 41 papers that have together received 258 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (20 papers), Rough Sets and Fuzzy Logic (10 papers) and Economic Growth and Productivity (8 papers). The work is most often cited by research in Management Science and Operations Research (121 citations), Modeling and Simulation (18 citations) and Computational Theory and Mathematics (40 citations). Jiří Mazurek has collaborated with scholars based in Czechia, Poland and Canada. Frequent co-authors include Jaroslav Ramı́k, Dominik Strzałka, Konrad Kułakowski, Michael Soltys, Waldemar W. Koczkodaj, Jean-Pierre Magnot, Hojjat Rakhshani, Witold Pedrycz, James F. Peters and Arturo Tozzi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.
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.