Vladimir Kovalevsky
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Management Science and Operations Research top 10%
- Computational Mechanics
- Co-authors
- Ralph KoppermanAlex LeavittReinhard Klette
- Topics
- Digital Image Processing Techniques (8 papers)Medical Image Segmentation Techniques (6 papers)Image Processing and 3D Reconstruction (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Theory and Mathematics
In The Last Decade
Vladimir Kovalevsky
19 papers receiving 445 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 391
- Computational Theory and Mathematics 150
- Computer Graphics and Computer-Aided Design 49
- Management Science and Operations Research 44
- Computational Mechanics 34
Countries citing papers authored by Vladimir Kovalevsky
This map shows the geographic impact of Vladimir Kovalevsky'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 Vladimir Kovalevsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Kovalevsky more than expected).
Fields of papers citing papers by Vladimir Kovalevsky
This network shows the impact of papers produced by Vladimir Kovalevsky. 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 Vladimir Kovalevsky. The network helps show where Vladimir Kovalevsky may publish in the future.
Co-authorship network of co-authors of Vladimir Kovalevsky
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Kovalevsky. A scholar is included among the top collaborators of Vladimir Kovalevsky 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 Vladimir Kovalevsky. Vladimir Kovalevsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 24 | |
| 8 | 3 | |
| 9 | 32 | |
| 10 | 18 | |
| 11 | On the Length Estimation of Digital Curves | 17 |
| 12 | 33 | |
| 13 | 226 | |
| 14 | 23 | |
| 15 | 1 | |
| 16 | 19 | |
| 17 | 31 | |
| 18 | 3 | |
| 19 | Character readers and pattern recognition | 32 |
| 20 | Sequential optimization in pattern recognition and pattern description. | 21 |
About Vladimir Kovalevsky
Vladimir Kovalevsky is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 20 papers that have together received 503 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (8 papers), Medical Image Segmentation Techniques (6 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (391 citations), Computer Graphics and Computer-Aided Design (49 citations) and Computational Theory and Mathematics (150 citations). Vladimir Kovalevsky has collaborated with scholars based in Germany, Russia and Singapore. Frequent co-authors include Ralph Kopperman, Alex Leavitt and Reinhard Klette. Their work appears in journals such as Proceedings of the IEEE, Annals of the New York Academy of Sciences and Pattern Recognition Letters.
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.