Miloš Kudělka
- Immunology
- Rheumatology top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Genetics
- Co-authors
- Eva KriegováVáclav SnåšelZdeněk HorákJiří GalloZuzana MikulkováPetr GajdošAjith AbrahamRegina Fillerová
- Topics
- Complex Network Analysis Techniques (18 papers)Web Data Mining and Analysis (11 papers)Data Visualization and Analytics (9 papers)
- Journals
- BloodPLoS ONEScientific Reports
In The Last Decade
Miloš Kudělka
67 papers receiving 442 citations
Peers
Comparison fields: 5 of 103
- Immunology 91
- Rheumatology 85
- Computer Vision and Pattern Recognition 64
- Artificial Intelligence 62
- Genetics 61
Countries citing papers authored by Miloš Kudělka
This map shows the geographic impact of Miloš Kudělka'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 Miloš Kudělka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Kudělka more than expected).
Fields of papers citing papers by Miloš Kudělka
This network shows the impact of papers produced by Miloš Kudělka. 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 Miloš Kudělka. The network helps show where Miloš Kudělka may publish in the future.
Co-authorship network of co-authors of Miloš Kudělka
This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Kudělka. A scholar is included among the top collaborators of Miloš Kudělka 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 Miloš Kudělka. Miloš Kudělka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 14 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 49 | |
| 15 | 1 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 18 | |
| 20 | Orthophoto Map Feature Extraction Based on Neural Networks | 4 |
About Miloš Kudělka
Miloš Kudělka is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Information Systems, having authored 76 papers that have together received 451 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), Web Data Mining and Analysis (11 papers) and Data Visualization and Analytics (9 papers). The work is most often cited by research in Genetics (61 citations), Rheumatology (85 citations) and Statistical and Nonlinear Physics (56 citations). Miloš Kudělka has collaborated with scholars based in Czechia, Armenia and Jordan. Frequent co-authors include Eva Kriegová, Václav Snåšel, Zdeněk Horák, Jiří Gallo, Zuzana Mikulková, Petr Gajdoš, Ajith Abraham, Regina Fillerová, Gayane Manukyan and Pavel Krömer. Their work appears in journals such as Blood, PLoS ONE and Scientific Reports.
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.