Robert Pěnička

1.6k citations
45 papers · 1.1k · h-index 19

Impact in

Papers in

Robert Pěnička

44 papers receiving 1.1k citations

Peers

Robert Pěnička
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 661
  • Aerospace Engineering 542
  • Industrial and Manufacturing Engineering 167
  • Control and Systems Engineering 286
  • Computer Networks and Communications 185
Replace Andrej Babinec with:
Andrej Babinec Slovakia
Vincent Roberge Canada
Wenzheng Chi China
Ulises Orozco-Rosas Mexico
Ladislav Jurišica Slovakia
Peter Beňo Slovakia
Martin Kajan Slovakia
Tomáš Fico Slovakia
Glenn Wagner United States
A. Jagadeesh India
Robert Pěnička relative to Andrej Babinec Slovakia Andrej Babinec's profile →
Citations per field
00.5×2×2.9×
Andrej Babinec · 1×
Citations per year

Countries citing papers authored by Robert Pěnička

Since Specialization
Citations

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

Fields of papers citing papers by Robert Pěnička

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Pěnička, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Pěnička Line = papers co-authored together Robert Pěnička links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019128
2 202290
3 201887
4 201878
5 201769
6 202464
7 202254
8 202149
9 201549
10 202243
11 201936
12 201932
13 202330
14 202329
15 201628
16 201825
17 202425
18 201721
19 201921
20 202218

About Robert Pěnička

Robert Pěnička is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Industrial and Manufacturing Engineering, Control and Systems Engineering and Automotive Engineering, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (39 papers), Robotics and Sensor-Based Localization (22 papers), UAV Applications and Optimization (11 papers), Vehicle Routing Optimization Methods (11 papers), Modular Robots and Swarm Intelligence (4 papers), Computational Geometry and Mesh Generation (4 papers), Distributed Control Multi-Agent Systems (4 papers) and Robotics and Automated Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (661 citations), Aerospace Engineering (542 citations), Industrial and Manufacturing Engineering (167 citations), Control and Systems Engineering (286 citations) and Computer Networks and Communications (185 citations). Robert Pěnička has collaborated with scholars based in Czechia, United States and Switzerland. Frequent co-authors include Martin Saska, Jan Faigl, Davide Scaramuzza, Petr Váňa, Vojtěch Vonásek, Yunlong Song, Vojtěch Spurný, Justin R. Thomas, V Vineeth Kumar and Giuseppe Loianno. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics, Journal of Intelligent & Robotic Systems, IEEE Transactions on Robotics 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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