Pavel Pudil
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Molecular Biology
- Signal Processing top 2%
- Media Technology top 1%
- Co-authors
- Jana NovovičováJosef KittlerPetr SomolPavel Paclı́kFrancesc J. FerriJan VanthienenBart BaesensMichal Haindl
- Topics
- Neural Networks and Applications (18 papers)Face and Expression Recognition (15 papers)Bayesian Methods and Mixture Models (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligencePattern Recognition
- Partner nations
- CzechiaUnited KingdomSpain
In The Last Decade
Pavel Pudil
56 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 1.3k
- Molecular Biology 417
- Signal Processing 416
- Media Technology 358
Countries citing papers authored by Pavel Pudil
This map shows the geographic impact of Pavel Pudil'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 Pavel Pudil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Pudil more than expected).
Fields of papers citing papers by Pavel Pudil
This network shows the impact of papers produced by Pavel Pudil. 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 Pavel Pudil. The network helps show where Pavel Pudil may publish in the future.
Co-authorship network of co-authors of Pavel Pudil
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Pudil. A scholar is included among the top collaborators of Pavel Pudil 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 Pavel Pudil. Pavel Pudil 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 | 2 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | Identification of Corporate Competitiveness Factors – Comparing Different Approaches | 1 |
| 6 | Improving feature selection process resistance to failures caused by curse-of-dimensionality effects | 4 |
| 7 | 2 | |
| 8 | 6 | |
| 9 | TEXTURE ORIENTED IMAGE INPAINTING BASED ON LOCAL STATISTICAL MODEL | 3 |
| 10 | NOTES ON THE EVOLUTION OF FEATURE SELECTION METHODOLOGY | 9 |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 190 | |
| 14 | 3 | |
| 15 | 39 | |
| 16 | Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition | 1 |
| 17 | Conceptual base of feature selection consulting system. | 1 |
| 18 | 66 | |
| 19 | Statistical approach to pattern recognition: Theory and practical solution by means of PREDITAS system | 18 |
| 20 | 1 |
About Pavel Pudil
Pavel Pudil is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Face and Expression Recognition (15 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.5k citations) and Media Technology (358 citations). Pavel Pudil has collaborated with scholars based in Czechia, United Kingdom and Spain. Frequent co-authors include Jana Novovičová, Josef Kittler, Petr Somol, Pavel Paclı́k, Francesc J. Ferri, Jan Vanthienen, Bart Baesens, Michal Haindl, Lenka Komárková and José M. Iñesta. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.
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.