Petr Slavı́k
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Venu GovindarajuE. M. KleinbergJonathan Bell
- Topics
- Complexity and Algorithms in Graphs (4 papers)Handwritten Text Recognition Techniques (3 papers)Computational Geometry and Mesh Generation (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational Theory and MathematicsComputer Networks and Communications
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceMathematical BiosciencesJournal of Algorithms
- Partner nations
- United States
In The Last Decade
Petr Slavı́k
9 papers receiving 331 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 141
- Computational Theory and Mathematics 139
- Computer Vision and Pattern Recognition 73
- Artificial Intelligence 72
- Computer Graphics and Computer-Aided Design 71
Countries citing papers authored by Petr Slavı́k
This map shows the geographic impact of Petr Slavı́k'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 Petr Slavı́k with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Slavı́k more than expected).
Fields of papers citing papers by Petr Slavı́k
This network shows the impact of papers produced by Petr Slavı́k. 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 Petr Slavı́k. The network helps show where Petr Slavı́k may publish in the future.
Co-authorship network of co-authors of Petr Slavı́k
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Slavı́k. A scholar is included among the top collaborators of Petr Slavı́k 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 Petr Slavı́k. Petr Slavı́k is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 20 | |
| 3 | Overview of Run-length Encoding of Handwritten Word Images | 9 |
| 4 | Approximation algorithms for set cover and related problems | 17 |
| 5 | 85 | |
| 6 | 65 | |
| 7 | 144 | |
| 8 | Improved Performance of the Greedy Algorithm for the Minimum Set Cover and Minimum Partial Cover Problems | 3 |
| 9 | 16 |
About Petr Slavı́k
Petr Slavı́k is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 372 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (4 papers), Handwritten Text Recognition Techniques (3 papers) and Computational Geometry and Mesh Generation (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (71 citations), Computational Theory and Mathematics (139 citations) and Computer Networks and Communications (141 citations). Petr Slavı́k has collaborated with scholars based in United States. Frequent co-authors include Venu Govindaraju, E. M. Kleinberg and Jonathan Bell. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Mathematical Biosciences and Journal of Algorithms.
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.