Jan Outrata
- Computational Theory and Mathematics top 0.5%
- Numerical Analysis top 2%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Vilém VychodilRadim BělohlávekBernard De BaetsR. HenrionJochem ZoweThomas M. SurowiecJaroslav HaslingerMichal Kočvara
- Topics
- Rough Sets and Fuzzy Logic (20 papers)Optimization and Variational Analysis (16 papers)Data Mining Algorithms and Applications (13 papers)
- Partner nations
- CzechiaUnited StatesGermany
In The Last Decade
Jan Outrata
46 papers receiving 853 citations
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 773
- Numerical Analysis 288
- Control and Systems Engineering 200
- Artificial Intelligence 180
- Information Systems 166
Countries citing papers authored by Jan Outrata
This map shows the geographic impact of Jan Outrata'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 Jan Outrata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Outrata more than expected).
Fields of papers citing papers by Jan Outrata
This network shows the impact of papers produced by Jan Outrata. 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 Jan Outrata. The network helps show where Jan Outrata may publish in the future.
Co-authorship network of co-authors of Jan Outrata
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Outrata. A scholar is included among the top collaborators of Jan Outrata 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 Jan Outrata. Jan Outrata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Scalable Performance of FCbO Algorithm on Museum Data. | 1 |
| 2 | 10 | |
| 3 | A lattice-free concept lattice update algorithm based on CbO ? | 6 |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 54 | |
| 8 | Boolean Factors as a Means of Clustering of Interestingness Measures of Association Rules. | 3 |
| 9 | Preprocessing Input Data for Machine Learning by FCA. | 4 |
| 10 | Advances in Algorithms Based on CbO. | 25 |
| 11 | 36 | |
| 12 | 36 | |
| 13 | 13 | |
| 14 | Fast Factorization of Concept Lattices by Similarity: Solution and an Open Problem | 5 |
| 15 | 34 | |
| 16 | 108 | |
| 17 | 40 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 1 |
About Jan Outrata
Jan Outrata is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Numerical Analysis, having authored 46 papers that have together received 939 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (20 papers), Optimization and Variational Analysis (16 papers) and Data Mining Algorithms and Applications (13 papers). The work is most often cited by research in Numerical Analysis (288 citations), Computational Theory and Mathematics (773 citations) and Computational Mathematics (11 citations). Jan Outrata has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Vilém Vychodil, Radim Bělohlávek, Bernard De Baets, R. Henrion, Jochem Zowe, Thomas M. Surowiec, Jaroslav Haslinger, Michal Kočvara, Werner Römisch and Helmut Gfrerer. Their work appears in journals such as Molecular and Cellular Biology, Information Sciences and IEEE Transactions on Fuzzy Systems.
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.