Tomáš Skopal
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
Papers in
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- Advanced Image and Video Retrieval Techniques 32
- Video Analysis and Summarization 22
- Image Retrieval and Classification Techniques 17
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- Data Management and Algorithms 31
- Co-authors
- Jakub Lokoč (26 shared papers)Benjamín Bustos (8 shared papers)Christian Beecks (6 shared papers)Václav Snåšel (6 shared papers)Jaroslav Pokorný (2 shared papers)Magnus Lie Hetland (2 shared papers)Michal Krátký (5 shared papers)David Hoksza (6 shared papers)
In The Last Decade
Tomáš Skopal
57 papers receiving 463 citations
Peers
Comparison fields: 5 of 61
- Signal Processing 244
- Computer Vision and Pattern Recognition 299
- Artificial Intelligence 146
- Management Information Systems 37
- Computer Networks and Communications 88
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 44 | |
| 2 | 2011 | 43 | |
| 3 | 2011 | 43 | |
| 4 | PM-tree: Pivoting Metric Tree for Similarity Search in Multimedia Databases. | 2004 | 36 |
| 5 | Pivoting M-tree: A Metric Access Method for Efficient Similarity Search. | 2004 | 26 |
| 6 | 2012 | 26 | |
| 7 | 2006 | 25 | |
| 8 | 2012 | 18 | |
| 9 | 2008 | 15 | |
| 10 | 2011 | 15 | |
| 11 | 2011 | 14 | |
| 12 | 2011 | 14 | |
| 13 | 2005 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2008 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2015 | 7 |
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 64 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (32 papers), Data Management and Algorithms (31 papers), Video Analysis and Summarization (22 papers), Image Retrieval and Classification Techniques (17 papers), Algorithms and Data Compression (10 papers), Semantic Web and Ontologies (9 papers), Advanced Database Systems and Queries (9 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Signal Processing (244 citations), Computer Vision and Pattern Recognition (299 citations), Artificial Intelligence (146 citations), Management Information Systems (37 citations) and Computer Networks and Communications (88 citations). Tomáš Skopal has collaborated with scholars based in Czechia, Germany and Chile. Frequent co-authors include Jakub Lokoč, Benjamín Bustos, Christian Beecks, Václav Snåšel, Jaroslav Pokorný, Magnus Lie Hetland, Michal Krátký, David Hoksza, Thomas Seidl and Martin Nečaský. Their work appears in journals such as Information Systems, Knowledge and Information Systems, ACM Computing Surveys, Multimedia Tools and Applications and The Visual Computer.
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.