Krasimir Kolarov
- Mechanical Engineering top 5%
- Human-Computer Interaction top 1%
- Cognitive Neuroscience top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Advanced Data Compression Techniques (6 papers)Image and Signal Denoising Methods (5 papers)Computational Geometry and Mesh Generation (4 papers)
- Cited by
- Human-Computer InteractionComputer Graphics and Computer-Aided DesignCognitive Neuroscience
- Journals
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- United States
In The Last Decade
Krasimir Kolarov
9 papers receiving 445 citations
Peers
Comparison fields: 5 of 47
- Mechanical Engineering 407
- Human-Computer Interaction 274
- Cognitive Neuroscience 213
- Control and Systems Engineering 127
- Computer Vision and Pattern Recognition 104
Countries citing papers authored by Krasimir Kolarov
This map shows the geographic impact of Krasimir Kolarov'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 Krasimir Kolarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krasimir Kolarov more than expected).
Fields of papers citing papers by Krasimir Kolarov
This network shows the impact of papers produced by Krasimir Kolarov. 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 Krasimir Kolarov. The network helps show where Krasimir Kolarov may publish in the future.
Co-authorship network of co-authors of Krasimir Kolarov
This figure shows the co-authorship network connecting the top 25 collaborators of Krasimir Kolarov. A scholar is included among the top collaborators of Krasimir Kolarov 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 Krasimir Kolarov. Krasimir Kolarov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 46 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | Representation, Optimization and Compression of High Dimensional Data | 0 |
| 10 | Topological Approximation and Compression of Functions and Their Wavelet Expansions | 1 |
| 11 | 427 | |
| 12 | 7 | |
| 13 | Algorithms for optimal design of robots in complex environments | 2 |
| 14 | Optimal geometric design of robots for environments with obstacles | 3 |
| 15 | Best Placement of Telescoping Robots in Environments with Obstacles | 1 |
| 16 | 6 |
About Krasimir Kolarov
Krasimir Kolarov is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 16 papers that have together received 504 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Computational Geometry and Mesh Generation (4 papers). The work is most often cited by research in Human-Computer Interaction (274 citations), Computer Graphics and Computer-Aided Design (48 citations) and Cognitive Neuroscience (213 citations). Krasimir Kolarov has collaborated with scholars based in United States. Frequent co-authors include Oussama Khatib, D. Ruspini, Bernard Roth and Brian G. Hoover. Their work appears in journals such as Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.