Dagmar Markechová
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Statistical and Nonlinear Physics top 10%
- Topics
- Advanced Algebra and Logic (13 papers)Multi-Criteria Decision Making (12 papers)Fuzzy Systems and Optimization (11 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchComputational Theory and Mathematics
- Partner nations
- SlovakiaIranMozambique
In The Last Decade
Dagmar Markechová
31 papers receiving 282 citations
Peers
Comparison fields: 5 of 59
- Computational Theory and Mathematics 127
- Management Science and Operations Research 113
- Artificial Intelligence 112
- Statistics and Probability 86
- Statistical and Nonlinear Physics 48
Countries citing papers authored by Dagmar Markechová
This map shows the geographic impact of Dagmar Markechová'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 Dagmar Markechová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Markechová more than expected).
Fields of papers citing papers by Dagmar Markechová
This network shows the impact of papers produced by Dagmar Markechová. 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 Dagmar Markechová. The network helps show where Dagmar Markechová may publish in the future.
Co-authorship network of co-authors of Dagmar Markechová
This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Markechová. A scholar is included among the top collaborators of Dagmar Markechová 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 Dagmar Markechová. Dagmar Markechová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | 7 | |
| 17 | On the existence of a Haar measure in topological IP-loops | 3 |
| 18 | 19 | |
| 19 | Entropy of complete fuzzy partitions | 24 |
| 20 | 5 |
About Dagmar Markechová
Dagmar Markechová is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 32 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (13 papers), Multi-Criteria Decision Making (12 papers) and Fuzzy Systems and Optimization (11 papers). The work is most often cited by research in Statistics and Probability (86 citations), Management Science and Operations Research (113 citations) and Computational Theory and Mathematics (127 citations). Dagmar Markechová has collaborated with scholars based in Slovakia, Iran and Mozambique. Frequent co-authors include Beloslav Riečan, Anna Tirpáková and Beáta Stehlíková. Their work appears in journals such as Fuzzy Sets and Systems, Chaos Solitons & Fractals and System.
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.