Tomáš Báča

678 citations
27 papers · 441 · h-index 12

Impact in

Papers in

Tomáš Báča

26 papers receiving 433 citations

Peers

Tomáš Báča
Comparison fields: 5 of 49
  • Aerospace Engineering 285
  • Computer Vision and Pattern Recognition 238
  • Computer Networks and Communications 106
  • Control and Systems Engineering 84
  • Geology 18
Replace J. A. Guerrero with:
J. A. Guerrero France
Yoann Moline France
Oliver Meister Germany
Luciano Blasi Italy
Jinzhen Mu China
Fei Shen China
Allen Wu United States
Yingcai Bi Singapore
Kaan Taha Öner Türkiye
Joseph Carsten United States
Tomáš Báča relative to J. A. Guerrero France J. A. Guerrero's profile →
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Countries citing papers authored by Tomáš Báča

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Báča

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 201885
3 202040
4 202140
5 202124
6 202417
7 201913
8 202212
9 202312
10 201712
11 202111
12 202111
13 201611
14 202410
15 20249
16 20168
17 20217
18 20245
19 20225
20
Vision-based high-speed autonomous landing and cooperative objects grasping - towards the MBZIRC competition
20164

About Tomáš Báča

Tomáš Báča is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Ocean Engineering, having authored 27 papers that have together received 441 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), UAV Applications and Optimization (10 papers), Robotics and Sensor-Based Localization (10 papers), Distributed Control Multi-Agent Systems (8 papers), Guidance and Control Systems (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Underwater Vehicles and Communication Systems (2 papers) and Radiation Detection and Scintillator Technologies (2 papers). The work is most often cited by research in Aerospace Engineering (285 citations), Computer Vision and Pattern Recognition (238 citations), Computer Networks and Communications (106 citations), Control and Systems Engineering (84 citations) and Geology (18 citations). Tomáš Báča has collaborated with scholars based in Czechia, United States and Poland. Frequent co-authors include Martin Saska, Pavel Petráček, Vojtěch Spurný, Tomáš Krajník, Viktor Walter, Vít Krátký, Daniel Heřt, Robert Pěnička, Matěj Petrlík and Vijay Kumar. Their work appears in journals such as Bioinspiration & Biomimetics, IEEE Robotics and Automation Letters, Ocean Engineering, Journal of Intelligent & Robotic Systems and Journal of Field Robotics.

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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