Tomáš Werner
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Papers in
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- Advanced Vision and Imaging 14
- Advanced Image and Video Retrieval Techniques 7
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- Computer Graphics and Visualization Techniques 5
- Co-authors
- Andrew Zisserman (2 shared papers)Jiřı́ Matas (3 shared papers)Ondřej Chum (3 shared papers)Václav Hlaváč (7 shared papers)Tomáš Pajdla (7 shared papers)Thomas Schiex (1 shared paper)Matthias Zytnicki (1 shared paper)Martin Cooper (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)Constraints (2 papers)Computing (1 paper)Artificial Intelligence (1 paper)SIAM Journal on Optimization (1 paper)
- Partner nations
- CzechiaUnited KingdomFrance
In The Last Decade
Tomáš Werner
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 703
- Computer Graphics and Computer-Aided Design 92
- Geology 111
- Aerospace Engineering 344
- Computer Networks and Communications 214
Countries citing papers authored by Tomáš Werner
This map shows the geographic impact of Tomáš Werner'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 Tomáš Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Werner more than expected).
Fields of papers citing papers by Tomáš Werner
This network shows the impact of papers produced by Tomáš Werner. 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 Tomáš Werner. The network helps show where Tomáš Werner may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomáš Werner, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 247 | |
| 2 | 2005 | 178 | |
| 3 | 2002 | 164 | |
| 4 | 2010 | 99 | |
| 5 | 2008 | 64 | |
| 6 | 2009 | 41 | |
| 7 | 2002 | 38 | |
| 8 | 2004 | 32 | |
| 9 | 2013 | 30 | |
| 10 | 1996 | 27 | |
| 11 | 2002 | 20 | |
| 12 | 2002 | 17 | |
| 13 | 1996 | 14 | |
| 14 | 2001 | 13 | |
| 15 | 2003 | 10 | |
| 16 | 2003 | 9 | |
| 17 | Revisiting the Decomposition Approach to Inference in Exponential Families and Graphical Models | 2009 | 8 |
| 18 | 2020 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2014 | 7 |
About Tomáš Werner
Tomáš Werner is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computational Theory and Mathematics and Aerospace Engineering, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Constraint Satisfaction and Optimization (13 papers), Robotics and Sensor-Based Localization (12 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Graph Theory Research (6 papers), Complexity and Algorithms in Graphs (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Bayesian Modeling and Causal Inference (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (703 citations), Computer Graphics and Computer-Aided Design (92 citations), Geology (111 citations), Aerospace Engineering (344 citations) and Computer Networks and Communications (214 citations). Tomáš Werner has collaborated with scholars based in Czechia, United Kingdom and France. Frequent co-authors include Andrew Zisserman, Jiřı́ Matas, Ondřej Chum, Václav Hlaváč, Tomáš Pajdla, Thomas Schiex, Matthias Zytnicki, Martin Cooper, Simon de Givry and Aleš Leonardis. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Constraints, Computing, Artificial Intelligence and SIAM Journal on Optimization.
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.