Marek Vajgl
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Aerospace Engineering
- Media Technology top 10%
- Computational Theory and Mathematics
- Co-authors
- Petr HurtíkIrina PerfilievaJan HůlaMartina DaňkováNicolás MadridBernard De BaetsMichal BurdaMartin Štěpnička
- Topics
- Advanced Neural Network Applications (4 papers)Fuzzy Logic and Control Systems (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesNeural Computing and Applications
In The Last Decade
Marek Vajgl
18 papers receiving 217 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 142
- Artificial Intelligence 39
- Aerospace Engineering 34
- Media Technology 33
- Computational Theory and Mathematics 22
Countries citing papers authored by Marek Vajgl
This map shows the geographic impact of Marek Vajgl'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 Marek Vajgl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Vajgl more than expected).
Fields of papers citing papers by Marek Vajgl
This network shows the impact of papers produced by Marek Vajgl. 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 Marek Vajgl. The network helps show where Marek Vajgl may publish in the future.
Co-authorship network of co-authors of Marek Vajgl
This figure shows the co-authorship network connecting the top 25 collaborators of Marek Vajgl. A scholar is included among the top collaborators of Marek Vajgl 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 Marek Vajgl. Marek Vajgl 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 | 92 | |
| 3 | 1 | |
| 4 | 54 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | Data Retrieval and Noise Reduction by Fuzzy Associative Memories. | 1 |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | Advanced Image Compression on the Basis of Fuzzy Transforms | 5 |
About Marek Vajgl
Marek Vajgl is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Theory and Mathematics, having authored 21 papers that have together received 230 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Fuzzy Logic and Control Systems (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (142 citations), Media Technology (33 citations) and Industrial and Manufacturing Engineering (18 citations). Marek Vajgl has collaborated with scholars based in Czechia and Spain. Frequent co-authors include Petr Hurtík, Irina Perfilieva, Jan Hůla, Martina Daňková, Nicolás Madrid, Bernard De Baets, Michal Burda and Martin Štěpnička. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Neural Computing and Applications.
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.