Martina Daňková
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Statistics and Probability top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Irina PerfilievaBarnabás BedeMartin ŠtěpničkaLibor BěhounekVilém NovákUlrich BodenhoferHajime NobuharaAntonio Di Nola
- Topics
- Advanced Algebra and Logic (17 papers)Rough Sets and Fuzzy Logic (16 papers)Fuzzy Logic and Control Systems (15 papers)
In The Last Decade
Martina Daňková
27 papers receiving 353 citations
Peers
Comparison fields: 5 of 41
- Computational Theory and Mathematics 226
- Artificial Intelligence 220
- Statistics and Probability 119
- Management Science and Operations Research 116
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by Martina Daňková
This map shows the geographic impact of Martina Daňková'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 Martina Daňková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Daňková more than expected).
Fields of papers citing papers by Martina Daňková
This network shows the impact of papers produced by Martina Daňková. 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 Martina Daňková. The network helps show where Martina Daňková may publish in the future.
Co-authorship network of co-authors of Martina Daňková
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Daňková. A scholar is included among the top collaborators of Martina Daňková 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 Martina Daňková. Martina Daňková 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 | 3 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 80 | |
| 9 | REPRESENTATION THEOREM FOR FUZZY FUNCTIONS - Graded Form | 1 |
| 10 | Towards F-transform of a Higher Degree | 15 |
| 11 | TOWARDS FUZZY TRANSFORMS OF A HIGHER DEGREE | 2 |
| 12 | 12 | |
| 13 | 30 | |
| 14 | 22 | |
| 15 | 21 | |
| 16 | 35 | |
| 17 | Full fuzzy transform and the problem of image fusion | 16 |
| 18 | Genetic algorithms in fuzzy approximation | 3 |
| 19 | 31 | |
| 20 | Representation of logic formulas by normal forms | 4 |
About Martina Daňková
Martina Daňková is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Statistics and Probability, having authored 29 papers that have together received 380 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (17 papers), Rough Sets and Fuzzy Logic (16 papers) and Fuzzy Logic and Control Systems (15 papers). The work is most often cited by research in Statistics and Probability (119 citations), Computational Theory and Mathematics (226 citations) and Management Science and Operations Research (116 citations). Martina Daňková has collaborated with scholars based in Czechia, Austria and Australia. Frequent co-authors include Irina Perfilieva, Barnabás Bede, Martin Štěpnička, Libor Běhounek, Vilém Novák, Ulrich Bodenhofer, Hajime Nobuhara, Antonio Di Nola, Marek Vajgl and Ivana Štajner-Papuga. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems and Soft Computing.
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.