Marek Vajgl
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Media Technology top 10%
Papers in
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- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 4
- Image Retrieval and Classification Techniques 4
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- Fuzzy Logic and Control Systems 4
- Semantic Web and Ontologies 3
- Co-authors
- Petr Hurtík (9 shared papers)Jan Hůla (1 shared paper)Irina Perfilieva (8 shared papers)Martina Daňková (3 shared papers)Nicolás Madrid (1 shared paper)Michal Burda (1 shared paper)Bernard De Baets (1 shared paper)Martin Štěpnička (1 shared paper)
- Journals
- Neural Computing and Applications (2 papers)Applied Sciences (2 papers)Social Science Computer Review (1 paper)Advances in Fuzzy Systems (1 paper)Advances in intelligent systems research (1 paper)
In The Last Decade
Marek Vajgl
18 papers receiving 228 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 145
- Media Technology 34
- Industrial and Manufacturing Engineering 18
- Automotive Engineering 18
- Aerospace Engineering 35
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-authors
The 9 scholars most cited alongside Marek Vajgl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 99 | |
| 2 | 2022 | 56 | |
| 3 | 2012 | 19 | |
| 4 | 2011 | 16 | |
| 5 | 2010 | 7 | |
| 6 | 2017 | 6 | |
| 7 | 2010 | 5 | |
| 8 | 2016 | 5 | |
| 9 | Advanced Image Compression on the Basis of Fuzzy Transforms | 2008 | 5 |
| 10 | 2015 | 4 | |
| 11 | 2016 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2013 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2015 | 1 | |
| 20 | Data Retrieval and Noise Reduction by Fuzzy Associative Memories. | 2016 | 1 |
About Marek Vajgl
Marek Vajgl is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Media Technology and Computer Networks and Communications, having authored 22 papers that have together received 239 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (4 papers), Advanced Neural Network Applications (4 papers), Rough Sets and Fuzzy Logic (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Algebra and Logic (3 papers), Semantic Web and Ontologies (3 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Media Technology (34 citations), Industrial and Manufacturing Engineering (18 citations), Automotive Engineering (18 citations) and Aerospace Engineering (35 citations). Marek Vajgl has collaborated with scholars based in Czechia and Spain. Frequent co-authors include Petr Hurtík, Jan Hůla, Irina Perfilieva, Martina Daňková, Nicolás Madrid, Michal Burda, Bernard De Baets, Martin Štěpnička and Zahra Alijani. Their work appears in journals such as Neural Computing and Applications, Applied Sciences, Social Science Computer Review, Advances in Fuzzy Systems and Advances in intelligent systems research.
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.