Jan Váňa
Impact in
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- Biometric Identification and Security
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- Visual Culture and Art Theory
Papers in
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- Social and Cultural Dynamics 5
- Contemporary Sociological Theory and Practice 4
- Digital Games and Media 1
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- Face and Expression Recognition 5
- Face recognition and analysis 4
- Video Surveillance and Tracking Methods 2
- Co-authors
- Martin Drahanský (7 shared papers)Svetlana Yanushkevich (3 shared papers)Eva Březinová (1 shared paper)Jaegeol Yim (1 shared paper)Ahmad Poursaberi (2 shared papers)Ivo Provazník (1 shared paper)Marina L. Gavrilova (1 shared paper)Vlad P. Shmerko (1 shared paper)
- Journals
- American Journal of Cultural Sociology (1 paper)Sotsiologicheskoe Obozrenie / Russian Sociological Review (1 paper)BioMed Research International (1 paper)Sociology Compass (1 paper)Cultural Sociology (1 paper)
- Partner nations
- CzechiaCanadaSouth Korea
In The Last Decade
Jan Váňa
11 papers receiving 87 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 18
- Visual Arts and Performing Arts 6
- Computer Vision and Pattern Recognition 22
- Urban Studies 6
- Human-Computer Interaction 5
Countries citing papers authored by Jan Váňa
This map shows the geographic impact of Jan Váňa'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 Jan Váňa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Váňa more than expected).
Fields of papers citing papers by Jan Váňa
This network shows the impact of papers produced by Jan Váňa. 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 Jan Váňa. The network helps show where Jan Váňa may publish in the future.
Co-authors
The 9 scholars most cited alongside Jan Váňa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 26 | |
| 2 | 2013 | 16 | |
| 3 | 2013 | 11 | |
| 4 | 2020 | 11 | |
| 5 | 2021 | 7 | |
| 6 | Applying fusion in thermal face recognition | 2012 | 5 |
| 7 | 3D face recognition on low-cost depth sensors | 2014 | 5 |
| 8 | 2012 | 5 | |
| 9 | 2014 | 2 | |
| 10 | 2020 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Jan Váňa
Jan Váňa is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition, Signal Processing, Philosophy and Communication, having authored 13 papers that have together received 90 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Social and Cultural Dynamics (5 papers), Face recognition and analysis (4 papers), Contemporary Sociological Theory and Practice (4 papers), Biometric Identification and Security (3 papers), Video Surveillance and Tracking Methods (2 papers), Social Media and Politics (1 paper) and Digital Games and Media (1 paper). The work is most often cited by research in Signal Processing (18 citations), Visual Arts and Performing Arts (6 citations), Computer Vision and Pattern Recognition (22 citations), Urban Studies (6 citations) and Human-Computer Interaction (5 citations). Jan Váňa has collaborated with scholars based in Czechia, Canada and South Korea. Frequent co-authors include Martin Drahanský, Svetlana Yanushkevich, Eva Březinová, Jaegeol Yim, Ahmad Poursaberi, Ivo Provazník, Marina L. Gavrilova, Vlad P. Shmerko and Tomáš Novotný. Their work appears in journals such as American Journal of Cultural Sociology, Sotsiologicheskoe Obozrenie / Russian Sociological Review, BioMed Research International, Sociology Compass and Cultural Sociology.
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.