Matěj Petrlík

954 total citations
22 papers, 406 citations indexed

About

Matěj Petrlík is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Matěj Petrlík has authored 22 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 16 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Matěj Petrlík's work include Robotics and Sensor-Based Localization (16 papers), Robotic Path Planning Algorithms (15 papers) and UAV Applications and Optimization (11 papers). Matěj Petrlík is often cited by papers focused on Robotics and Sensor-Based Localization (16 papers), Robotic Path Planning Algorithms (15 papers) and UAV Applications and Optimization (11 papers). Matěj Petrlík collaborates with scholars based in Czechia and Ukraine. Matěj Petrlík's co-authors include Martin Saska, Tomáš Krajník, Daniel Heřt, Matouš Vrba, Pavel Petráček, Vojtěch Spurný, Vít Krátký, Viktor Walter, Petr Štěpán and Vojtěch Vonásek and has published in prestigious journals such as IEEE Access, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Matěj Petrlík

21 papers receiving 394 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matěj Petrlík Czechia 12 294 243 87 73 46 22 406
Zehui Meng Singapore 7 245 0.8× 238 1.0× 60 0.7× 66 0.9× 21 0.5× 14 332
Matouš Vrba Czechia 11 287 1.0× 217 0.9× 74 0.9× 54 0.7× 40 0.9× 19 368
Vít Krátký Czechia 11 212 0.7× 170 0.7× 73 0.8× 51 0.7× 26 0.6× 19 299
Yulun Tian United States 8 275 0.9× 185 0.8× 71 0.8× 68 0.9× 85 1.8× 11 366
Vojtěch Spurný Czechia 13 355 1.2× 376 1.5× 131 1.5× 162 2.2× 39 0.8× 24 547
Daniel Heřt Czechia 12 396 1.3× 385 1.6× 149 1.7× 161 2.2× 50 1.1× 17 592
Dariusz Kominiak Sweden 9 183 0.6× 209 0.9× 51 0.6× 109 1.5× 19 0.4× 14 338
Petr Štěpán Czechia 10 227 0.8× 211 0.9× 59 0.7× 76 1.0× 33 0.7× 25 363
Enrico Zenerino Italy 6 184 0.6× 117 0.5× 57 0.7× 73 1.0× 43 0.9× 10 333
Aurélio G. Melo Brazil 13 185 0.6× 196 0.8× 55 0.6× 103 1.4× 25 0.5× 24 384

Countries citing papers authored by Matěj Petrlík

Since Specialization
Citations

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

Fields of papers citing papers by Matěj Petrlík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matěj Petrlík

This figure shows the co-authorship network connecting the top 25 collaborators of Matěj Petrlík. A scholar is included among the top collaborators of Matěj Petrlík based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matěj Petrlík. Matěj Petrlík is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Krátký, Vít, et al.. (2025). CAT-ORA: Collision-Aware Time-Optimal Formation Reshaping for Efficient Robot Coordination in 3-D Environments. IEEE Transactions on Robotics. 41. 2950–2969.
2.
Petrlík, Matěj, Pavel Petráček, Vít Krátký, et al.. (2024). UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT. 2. 643–689. 1 indexed citations
3.
Pěnička, Robert, Petr Štěpán, Matěj Petrlík, et al.. (2023). Autonomous cooperative wall building by a team of Unmanned Aerial Vehicles in the MBZIRC 2020 competition. Robotics and Autonomous Systems. 167. 104482–104482. 8 indexed citations
4.
Petráček, Pavel, et al.. (2023). New Era in Cultural Heritage Preservation: Cooperative Aerial Autonomy for Fast Digitalization of Difficult-to-Access Interiors of Historical Monuments. IEEE Robotics & Automation Magazine. 31(2). 8–25. 9 indexed citations
5.
Petrlík, Matěj, Pavel Petráček, Vít Krátký, et al.. (2023). UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT. 3. 1–68. 12 indexed citations
6.
Heřt, Daniel, Pavel Petráček, Vít Krátký, et al.. (2023). MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems. Journal of Intelligent & Robotic Systems. 108(4). 24 indexed citations
7.
Bednář, Jan, Matěj Petrlík, Kelen Cristiane Teixeira Vivaldini, & Martin Saska. (2022). Deployment of Reliable Visual Inertial Odometry Approaches for Unmanned Aerial Vehicles in Real-world Environment. arXiv (Cornell University). 167–176. 5 indexed citations
8.
Vrba, Matouš, Tomáš Báča, Vojtěch Spurný, et al.. (2022). A Multi-MAV System for the Autonomous Elimination of Multiple Targets in the MBZIRC 2020 Competition. 2. 1697–1720. 1 indexed citations
9.
Heřt, Daniel, Pavel Petráček, Vít Krátký, et al.. (2022). MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments. arXiv (Cornell University). 1264–1273. 15 indexed citations
10.
Petrlík, Matěj, et al.. (2022). SphereMap: Dynamic Multi-Layer Graph Structure for Rapid Safety-Aware UAV Planning. IEEE Robotics and Automation Letters. 7(4). 11007–11014. 17 indexed citations
11.
Walter, Viktor, et al.. (2022). Extinguishing Real Fires by Fully Autonomous Multirotor UAVs in the MBZIRC 2020 Competition. 2. 406–436. 5 indexed citations
12.
Petráček, Pavel, et al.. (2021). Large-Scale Exploration of Cave Environments by Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters. 6(4). 7596–7603. 51 indexed citations
13.
Walter, Viktor, et al.. (2021). Extinguishing of Ground Fires by Fully Autonomous UAVs motivated by the MBZIRC 2020 Competition. 787–793. 8 indexed citations
14.
Walter, Viktor, et al.. (2021). Autonomous Aerial Swarming in GNSS-denied Environments with High Obstacle Density. 570–576. 24 indexed citations
15.
Petrlík, Matěj, Tomáš Krajník, & Martin Saska. (2021). LIDAR-based Stabilization, Navigation and Localization for UAVs Operating in Dark Indoor Environments. arXiv (Cornell University). 243–251. 18 indexed citations
16.
Spurný, Vojtěch, et al.. (2021). Autonomous Firefighting Inside Buildings by an Unmanned Aerial Vehicle. IEEE Access. 9. 15872–15890. 38 indexed citations
17.
Petrlík, Matěj, et al.. (2020). A Robust UAV System for Operations in a Constrained Environment. IEEE Robotics and Automation Letters. 5(2). 2169–2176. 105 indexed citations
18.
Spurný, Vojtěch, Matěj Petrlík, Vojtěch Vonásek, & Martin Saska. (2019). Cooperative Transport of Large Objects by a Pair of Unmanned Aerial Systems using Sampling-based Motion Planning. 955–962. 10 indexed citations
19.
Petrlík, Matěj, Vojtěch Vonásek, & Martin Saska. (2019). Coverage optimization in the Cooperative Surveillance Task using Multiple Micro Aerial Vehicles. abs 1612 2065. 4373–4380. 11 indexed citations
20.
Štěpán, Petr, Tomáš Krajník, Matěj Petrlík, & Martin Saska. (2018). Vision techniques for on‐board detection, following, and mapping of moving targets. Journal of Field Robotics. 36(1). 252–269. 13 indexed citations

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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