Michal Batko
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Pavel ZezulaVlastislav DohnalGiuseppe AmatoDavid NovákFabrizio FalchiJan SedmidubskýRaffaele PeregoClaudio Lucchese
- Topics
- Advanced Image and Video Retrieval Techniques (26 papers)Image Retrieval and Classification Techniques (23 papers)Data Management and Algorithms (21 papers)
In The Last Decade
Michal Batko
34 papers receiving 934 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 643
- Signal Processing 586
- Artificial Intelligence 302
- Computer Networks and Communications 212
- Information Systems 147
Countries citing papers authored by Michal Batko
This map shows the geographic impact of Michal Batko'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 Michal Batko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Batko more than expected).
Fields of papers citing papers by Michal Batko
This network shows the impact of papers produced by Michal Batko. 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 Michal Batko. The network helps show where Michal Batko may publish in the future.
Co-authorship network of co-authors of Michal Batko
This figure shows the co-authorship network connecting the top 25 collaborators of Michal Batko. A scholar is included among the top collaborators of Michal Batko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michal Batko. Michal Batko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | DISA at ImageCLEF 2014: The search-based solution for scalable image annotation | 3 |
| 5 | 8 | |
| 6 | 5 | |
| 7 | Multi-modal image search for large-scale applications | 1 |
| 8 | Online Image Annotation | 2 |
| 9 | 4 | |
| 10 | 27 | |
| 11 | 7 | |
| 12 | 51 | |
| 13 | 15 | |
| 14 | Crawling, Indexing, and Similarity Searching Images on the Web | 2 |
| 15 | 8 | |
| 16 | 1 | |
| 17 | Similarity Search The Metric Space Approachbreakdown → | 419 |
| 18 | 3 | |
| 19 | Similarity Search: The Metric Space Approach (Advances in Database Systems) | 227 |
| 20 | Scalable Similarity Search in Metric Spaces. | 7 |
About Michal Batko
Michal Batko is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 38 papers that have together received 990 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (26 papers), Image Retrieval and Classification Techniques (23 papers) and Data Management and Algorithms (21 papers). The work is most often cited by research in Signal Processing (586 citations), Computer Vision and Pattern Recognition (643 citations) and Artificial Intelligence (302 citations). Michal Batko has collaborated with scholars based in Czechia, Italy and Spain. Frequent co-authors include Pavel Zezula, Vlastislav Dohnal, Giuseppe Amato, David Novák, Fabrizio Falchi, Jan Sedmidubský, Raffaele Perego, Claudio Lucchese, Fausto Rabitti and David Mera. Their work appears in journals such as Future Generation Computer Systems, Information Processing & Management and Multimedia Tools and Applications.
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.