P. Švestka

13 papers receiving 4.7k citations

Hit Papers

Probabilistic roadmaps for path planning in high-dimensio...1996202620062016199610002.0k3.0k4.0k

Peers

P. Švestka
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 4.5k
  • Aerospace Engineering 2.3k
  • Control and Systems Engineering 2.2k
  • Artificial Intelligence 739
  • Computer Networks and Communications 591
Replace M.H. Overmars with:
M.H. Overmars Netherlands
Dave Ferguson United States
J.-C. Latombe United States
Maxim Likhachev United States
Kostas E. Bekris United States
Elon Rimon Israel
A. Howard United States
Jérôme Barraquand United States
Thierry Fraichard France
Camillo J. Taylor United States
P. Švestka relative to M.H. Overmars Netherlands M.H. Overmars's profile →
Citations per field
00.5×1.5×
M.H. Overmars · 1×
Citations per year

Countries citing papers authored by P. Švestka

Since Specialization
Citations

This map shows the geographic impact of P. Švestka'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 P. Švestka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Švestka more than expected).

Fields of papers citing papers by P. Švestka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Švestka. 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 P. Švestka. The network helps show where P. Švestka may publish in the future.

Co-authorship network of co-authors of P. Švestka

This figure shows the co-authorship network connecting the top 25 collaborators of P. Švestka. A scholar is included among the top collaborators of P. Švestka 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 P. Švestka. P. Švestka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 29
2 104
3 33
4 10
5 90
6 180
7 67
8
On probabilistic completeness and expected complexity for probabilistic path planning
12
9
Probabilistic roadmaps for path planning in high-dimensional configuration spacesbreakdown →
4298
10
Coordinated motion planning for multiple car-like robots using probabilistic roadmaps
23
11
A probabilistic learning approach to motion planning
113
12
A paradigm for probabilistic path planning
8
13
A probabilistic approach to motion planning for car-like robots
19

About P. Švestka

P. Švestka is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 13 papers that have together received 5.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Control and Dynamics of Mobile Robots (4 papers) and Computational Geometry and Mesh Generation (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.5k citations), Aerospace Engineering (2.3k citations) and Control and Systems Engineering (2.2k citations). P. Švestka has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include M.H. Overmars, Lydia E. Kavraki, J.-C. Latombe, Mark H. Overmars, S. Sekhavat, Jean‐Paul Laumond, Jules Vleugels, Boris Aronov, A. Frank van der Stappen and Mark de Berg. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Automation 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.

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