Petr Hájek
- Computational Theory and Mathematics top 0.02%
- Artificial Intelligence top 0.1%
- Management Science and Operations Research top 0.1%
- Mathematical Physics top 0.5%
- Information Systems top 0.5%
- Co-authors
- Pavel PudlákMohammad Zoynul AbedinRoberto HenriquesJan StejskalVáclav ZizlerMarián FabianVladimír OlejTomáš Havránek
- Topics
- Advanced Banach Space Theory (73 papers)Rough Sets and Fuzzy Logic (61 papers)Advanced Algebra and Logic (61 papers)
- Cited by
- Computational Theory and MathematicsManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- CzechiaUnited KingdomSpain
In The Last Decade
Petr Hájek
303 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Computational Theory and Mathematics 4.5k
- Artificial Intelligence 4.4k
- Management Science and Operations Research 2.3k
- Mathematical Physics 1.0k
- Information Systems 794
Countries citing papers authored by Petr Hájek
This map shows the geographic impact of Petr Hájek'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 Petr Hájek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Hájek more than expected).
Fields of papers citing papers by Petr Hájek
This network shows the impact of papers produced by Petr Hájek. 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 Petr Hájek. The network helps show where Petr Hájek may publish in the future.
Co-authorship network of co-authors of Petr Hájek
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Hájek. A scholar is included among the top collaborators of Petr Hájek 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 Petr Hájek. Petr Hájek 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 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 29 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 66 | |
| 16 | 40 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | Functions locally dependent on finitely many coordinates | 4 |
| 20 | Applying Artificial Intelligence to Data Analysis. | 1 |
About Petr Hájek
Petr Hájek is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 333 papers that have together received 9.3k indexed citations. Recurring topics across this work include Advanced Banach Space Theory (73 papers), Rough Sets and Fuzzy Logic (61 papers) and Advanced Algebra and Logic (61 papers). The work is most often cited by research in Computational Theory and Mathematics (4.5k citations), Management Science and Operations Research (2.3k citations) and Artificial Intelligence (4.4k citations). Petr Hájek has collaborated with scholars based in Czechia, United Kingdom and Spain. Frequent co-authors include Pavel Pudlák, Mohammad Zoynul Abedin, Roberto Henriques, Jan Stejskal, Václav Zizler, Marián Fabian, Vladimír Olej, Tomáš Havránek, Aliaksandr Barushka and Petr Cintula. Their work appears in journals such as PLoS ONE, Scientific Reports 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.