Petr Váňa
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Computer Networks and Communications top 10%
- Automotive Engineering top 10%
- Co-authors
- Jan FaiglMartin SaskaRobert PěničkaDouglas G. MacharetArmando Alves NetoVojtěch SpurnýOren SalzmanD. Tureček
- Topics
- Robotic Path Planning Algorithms (30 papers)Vehicle Routing Optimization Methods (13 papers)Guidance and Control Systems (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringAerospace Engineering
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsRobotics and Autonomous Systems
- Partner nations
- CzechiaNetherlandsIsrael
In The Last Decade
Petr Váňa
32 papers receiving 383 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 301
- Aerospace Engineering 232
- Industrial and Manufacturing Engineering 107
- Computer Networks and Communications 74
- Automotive Engineering 68
Countries citing papers authored by Petr Váňa
This map shows the geographic impact of Petr Váňa'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 Váňa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Váňa more than expected).
Fields of papers citing papers by Petr Váňa
This network shows the impact of papers produced by Petr Váňa. 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 Váňa. The network helps show where Petr Váňa may publish in the future.
Co-authorship network of co-authors of Petr Váňa
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Váňa. A scholar is included among the top collaborators of Petr Váňa 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 Váňa. Petr Váňa 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 | 5 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 10 | |
| 14 | 61 | |
| 15 | 4 | |
| 16 | 19 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 32 |
About Petr Váňa
Petr Váňa is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computer Graphics and Computer-Aided Design, having authored 32 papers that have together received 398 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (30 papers), Vehicle Routing Optimization Methods (13 papers) and Guidance and Control Systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (301 citations), Industrial and Manufacturing Engineering (107 citations) and Aerospace Engineering (232 citations). Petr Váňa has collaborated with scholars based in Czechia, Netherlands and Israel. Frequent co-authors include Jan Faigl, Martin Saska, Robert Pěnička, Douglas G. Macharet, Armando Alves Neto, Vojtěch Spurný, Oren Salzman, D. Tureček, P. Nieminen and Carlos Granja. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Robotics and Autonomous Systems.
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.