Vojtěch Franc
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Face and Expression Recognition 11
- Face recognition and analysis 10
- Advanced Image and Video Retrieval Techniques 5
- Video Surveillance and Tracking Methods 3
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- Neural Networks and Applications 5
- Machine Learning and Data Classification 4
- Co-authors
- Václav Hlaváč (9 shared papers)Jan Čech (7 shared papers)Soeren Sonnenburg (2 shared papers)Jiřı́ Matas (3 shared papers)Michal Uřičář (5 shared papers)Michal Sofka (2 shared papers)Sören Sonnenburg (1 shared paper)Hakan Çevıkalp (1 shared paper)
In The Last Decade
Vojtěch Franc
31 papers receiving 871 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 378
- Signal Processing 156
- Artificial Intelligence 333
- Cardiology and Cardiovascular Medicine 149
- Human-Computer Interaction 33
Countries citing papers authored by Vojtěch Franc
This map shows the geographic impact of Vojtěch Franc'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 Vojtěch Franc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vojtěch Franc more than expected).
Fields of papers citing papers by Vojtěch Franc
This network shows the impact of papers produced by Vojtěch Franc. 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 Vojtěch Franc. The network helps show where Vojtěch Franc may publish in the future.
Co-authors
The 24 scholars most cited alongside Vojtěch Franc, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Visual Heart Rate Estimation with Convolutional Neural Network. | 2018 | 189 |
| 2 | 2003 | 103 | |
| 3 | 2008 | 79 | |
| 4 | 2012 | 71 | |
| 5 | 2003 | 68 | |
| 6 | Optimized invariant representation of network traffic for detecting unseen malware variants | 2016 | 66 |
| 7 | Statistical Pattern Recognition Toolbox for Matlab User's guide | 2004 | 51 |
| 8 | Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization | 2009 | 43 |
| 9 | COFFIN: A Computational Framework for Linear SVMs | 2010 | 38 |
| 10 | Support Vector Machines as Probabilistic Models | 2011 | 31 |
| 11 | 2017 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2015 | 19 | |
| 14 | 2015 | 14 | |
| 15 | 2015 | 14 | |
| 16 | Discriminative Learning of Max-Sum Classifiers | 2008 | 13 |
| 17 | 2003 | 12 | |
| 18 | 2007 | 10 | |
| 19 | 2012 | 10 | |
| 20 | RANSACing Optical Image Sequences for GEO and near-GEO Objects | 2013 | 9 |
About Vojtěch Franc
Vojtěch Franc is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mechanics and Computational Theory and Mathematics, having authored 31 papers that have together received 927 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Face recognition and analysis (10 papers), Neural Networks and Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Machine Learning and Data Classification (4 papers), Robotics and Sensor-Based Localization (3 papers), Biometric Identification and Security (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (378 citations), Signal Processing (156 citations), Artificial Intelligence (333 citations), Cardiology and Cardiovascular Medicine (149 citations) and Human-Computer Interaction (33 citations). Vojtěch Franc has collaborated with scholars based in Czechia, Germany and Japan. Frequent co-authors include Václav Hlaváč, Jan Čech, Soeren Sonnenburg, Jiřı́ Matas, Michal Uřičář, Michal Sofka, Sören Sonnenburg, Hakan Çevıkalp, Bernhard Sch lkopf and Alexander Zien. Their work appears in journals such as Image and Vision Computing, Machine Learning, Neurocomputing, Journal of Machine Learning Research 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.