Libor Přeučil

2.6k citations
88 papers · 1.6k · h-index 22

Impact in

Papers in

Libor Přeučil

84 papers receiving 1.6k citations

Peers

Libor Přeučil
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 953
  • Aerospace Engineering 831
  • Computer Networks and Communications 436
  • Control and Systems Engineering 331
  • Industrial and Manufacturing Engineering 104
Replace Sidney Givigi with:
Sidney Givigi Canada
Tomáš Krajník Czechia
Jan Faigl Czechia
Juan‐Antonio Fernández‐Madrigal Spain
Cipriano Galindo Spain
David Portugal Portugal
Gonzalo López‐Nicolás Spain
S. Yuta Japan
Luis Montano Spain
José Luis Sánchez-López Luxembourg
Libor Přeučil relative to Sidney Givigi Canada Sidney Givigi's profile →
Citations per field
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Sidney Givigi · 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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008161
2 2014160
3 2006107
4 201696
5 200967
6 201466
7 201361
8 201053
9 200546
10 201446
11 201243
12 201243
13 201239
14 201135
15 201231
16 200429
17 201027
18 201325
19 201324
20 202023

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 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (49 papers), Robotics and Sensor-Based Localization (40 papers), Modular Robots and Swarm Intelligence (20 papers), Advanced Image and Video Retrieval Techniques (14 papers), Distributed Control Multi-Agent Systems (11 papers), Optimization and Search Problems (10 papers), Robotics and Automated Systems (10 papers) and Advanced Vision and Imaging (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (953 citations), Aerospace Engineering (831 citations), Computer Networks and Communications (436 citations), Control and Systems Engineering (331 citations) and Industrial and Manufacturing Engineering (104 citations). Libor Přeučil has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include Miroslav Kulich, Martin Saska, Jan Faigl, Tomáš Krajník, Vojtěch Vonásek, Herman Bruyninckx, Jan Chudoba, Matías Nitsche, Marta Mejail 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 Computers & Operations Research.

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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