Tomáš Skopal
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 56
- Video Analysis and Summarization 38
- Image Retrieval and Classification Techniques 29
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- Data Management and Algorithms 49
- Co-authors
- Jakub Lokoč (44 shared papers)Benjamín Bustos (10 shared papers)Václav Snåšel (11 shared papers)Jaroslav Pokorný (8 shared papers)Christian Beecks (6 shared papers)David Hoksza (13 shared papers)Michal Krátký (8 shared papers)Magnus Lie Hetland (2 shared papers)
In The Last Decade
Tomáš Skopal
101 papers receiving 953 citations
Peers
Comparison fields: 5 of 67
- Signal Processing 524
- Computer Vision and Pattern Recognition 641
- Artificial Intelligence 313
- Computer Networks and Communications 189
- Management Information Systems 49
Countries citing papers authored by Tomáš Skopal
This map shows the geographic impact of Tomáš Skopal'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 Skopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Skopal more than expected).
Fields of papers citing papers by Tomáš Skopal
This network shows the impact of papers produced by Tomáš Skopal. 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 Skopal. The network helps show where Tomáš Skopal may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomáš Skopal, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 61 | |
| 2 | 2011 | 55 | |
| 3 | 2011 | 55 | |
| 4 | PM-tree: Pivoting Metric Tree for Similarity Search in Multimedia Databases. | 2004 | 46 |
| 5 | 2005 | 37 | |
| 6 | Pivoting M-tree: A Metric Access Method for Efficient Similarity Search. | 2004 | 35 |
| 7 | 2006 | 33 | |
| 8 | 2006 | 32 | |
| 9 | 2012 | 30 | |
| 10 | 2014 | 25 | |
| 11 | 2003 | 25 | |
| 12 | 2012 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 2011 | 22 | |
| 15 | 2016 | 22 | |
| 16 | 2011 | 22 | |
| 17 | 2008 | 21 | |
| 18 | 2011 | 20 | |
| 19 | 2007 | 16 | |
| 20 | 2008 | 16 |
About Tomáš Skopal
Tomáš Skopal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 110 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (56 papers), Data Management and Algorithms (49 papers), Video Analysis and Summarization (38 papers), Image Retrieval and Classification Techniques (29 papers), Algorithms and Data Compression (15 papers), Advanced Database Systems and Queries (13 papers), Semantic Web and Ontologies (12 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Signal Processing (524 citations), Computer Vision and Pattern Recognition (641 citations), Artificial Intelligence (313 citations), Computer Networks and Communications (189 citations) and Management Information Systems (49 citations). Tomáš Skopal has collaborated with scholars based in Czechia, Germany and Chile. Frequent co-authors include Jakub Lokoč, Benjamín Bustos, Václav Snåšel, Jaroslav Pokorný, Christian Beecks, David Hoksza, Michal Krátký, Magnus Lie Hetland, Thomas Seidl and Martin Nečaský. Their work appears in journals such as Lecture notes in computer science, Information Systems, Knowledge and Information Systems, Multimedia Tools and Applications and ACM Computing Surveys.
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.