Robert Pěnička

1.5k citations
41 papers · 960 · h-index 18

Impact in

Papers in

Robert Pěnička

38 papers receiving 938 citations

Peers

Robert Pěnička
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 588
  • Aerospace Engineering 480
  • Industrial and Manufacturing Engineering 140
  • Control and Systems Engineering 264
  • Computer Networks and Communications 175
Replace Ulises Orozco-Rosas with:
Ulises Orozco-Rosas Mexico
Ladislav Jurišica Slovakia
Peter Beňo Slovakia
Martin Kajan Slovakia
Tomáš Fico Slovakia
Egidio D’Amato Italy
Robert Bohlin Sweden
Nuwan Ganganath Hong Kong
Steven J. Rasmussen United States
Glenn Wagner United States
Robert Pěnička relative to Ulises Orozco-Rosas Mexico Ulises Orozco-Rosas's profile →
Citations per field
00.5×4.5×
Ulises Orozco-Rosas · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 201878
3 202278
4 201871
5 201761
6 202252
7 202445
8 202144
9 201544
10 202240
11 201931
12 201929
13 202325
14 201625
15 202325
16 201823
17 201920
18 201719
19 202416
20 202215

About Robert Pěnička

Robert Pěnička is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 41 papers that have together received 960 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (36 papers), Robotics and Sensor-Based Localization (22 papers), Vehicle Routing Optimization Methods (9 papers), UAV Applications and Optimization (8 papers), Modular Robots and Swarm Intelligence (4 papers), Computational Geometry and Mesh Generation (4 papers), Transportation and Mobility Innovations (3 papers) and Adaptive Control of Nonlinear Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (588 citations), Aerospace Engineering (480 citations), Industrial and Manufacturing Engineering (140 citations), Control and Systems Engineering (264 citations) and Computer Networks and Communications (175 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, Vojtěch Spurný, Yunlong Song, Vijay Kumar, Giuseppe Loianno and Justin Thomas. 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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