Libor Přeučil

2.3k citations
87 papers · 1.5k · h-index 21

Impact in

Papers in

Libor Přeučil

83 papers receiving 1.4k citations

Peers

Libor Přeučil
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 905
  • Aerospace Engineering 792
  • Computer Networks and Communications 422
  • Control and Systems Engineering 273
  • Industrial and Manufacturing Engineering 103
Replace Carlos Sampedro with:
Carlos Sampedro Spain
Sidney Givigi Canada
Jan Faigl Czechia
Juan‐Antonio Fernández‐Madrigal Spain
Cipriano Galindo Spain
David Portugal Portugal
Tomáš Krajník Czechia
Gonzalo López‐Nicolás Spain
José Luis Sánchez-López Luxembourg
Luis Montano Spain
Libor Přeučil relative to Carlos Sampedro Spain Carlos Sampedro's profile →
Citations per field
00.5×6.6×
Carlos Sampedro · 1×
Citations per year

Countries citing papers authored by Libor Přeučil

Since Specialization
Citations

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

Fields of papers citing papers by Libor Přeučil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Libor Přeučil, 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 Libor Přeučil Line = papers co-authored together Libor Přeučil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014161
2 2006107
3 201698
4 200968
5 201466
6 201361
7 201053
8 200547
9 201446
10 201244
11 201243
12 201239
13 201136
14 201231
15 200429
16 201027
17 201325
18 201324
19 202023
20 201222

About Libor Přeučil

Libor Přeučil is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Control and Systems Engineering and Mechanical Engineering, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (48 papers), Robotics and Sensor-Based Localization (40 papers), Modular Robots and Swarm Intelligence (19 papers), Advanced Image and Video Retrieval Techniques (14 papers), Distributed Control Multi-Agent Systems (11 papers), Optimization and Search Problems (10 papers), Advanced Vision and Imaging (10 papers) and Robotics and Automated Systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (905 citations), Aerospace Engineering (792 citations), Computer Networks and Communications (422 citations), Control and Systems Engineering (273 citations) and Industrial and Manufacturing Engineering (103 citations). Libor Přeučil has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include Martin Saska, Jan Faigl, Tomáš Krajník, Miroslav Kulich, Vojtěch Vonásek, Jan Chudoba, Matías Nitsche, Marta Mejail, Martin Macaš and Lenka Lhotská. Their work appears in journals such as Journal of Intelligent & Robotic Systems, Robotics and Autonomous Systems, IEEE Robotics and Automation Letters, Applied Soft Computing and Robotics and Computer-Integrated Manufacturing.

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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