Michal Čáp

3.3k total citations · 1 hit paper
24 papers, 2.0k citations indexed

About

Michal Čáp is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michal Čáp has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Michal Čáp's work include Robotic Path Planning Algorithms (13 papers), Transportation and Mobility Innovations (5 papers) and AI-based Problem Solving and Planning (5 papers). Michal Čáp is often cited by papers focused on Robotic Path Planning Algorithms (13 papers), Transportation and Mobility Innovations (5 papers) and AI-based Problem Solving and Planning (5 papers). Michal Čáp collaborates with scholars based in Czechia, Netherlands and United States. Michal Čáp's co-authors include Emilio Frazzoli, Dmitry Yershov, B. Paden, Sze Zheng Yong, Peter Novák, Alexander Kleiner, Javier Alonso–Mora, Jiří Vokřínek, Michal Pěchouček and Jan Faigl and has published in prestigious journals such as IEEE Transactions on Robotics, Autonomous Robots and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Michal Čáp

21 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles

2016 1.7k citations Michal Čáp, Emilio Frazzoli et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michal Čáp Czechia	8	1.2k	1.1k	844	282	267	24	2.0k
Jianwei Gong China	25	1.3k 1.1×	916 0.8×	717 0.8×	270 1.0×	213 0.8×	164	2.3k
Dmitry Yershov United States	5	1.1k 0.9×	930 0.8×	805 1.0×	227 0.8×	216 0.8×	7	1.7k
J. Marius Zöllner Germany	24	1.1k 0.9×	993 0.9×	605 0.7×	409 1.5×	320 1.2×	177	2.2k
Moritz Werling Germany	14	1.7k 1.4×	1.3k 1.1×	979 1.2×	346 1.2×	368 1.4×	36	2.5k
Yunfeng Ai China	19	627 0.5×	563 0.5×	489 0.6×	238 0.8×	217 0.8×	77	1.8k
Joshué Perez Spain	20	1.7k 1.4×	1.1k 1.0×	1.4k 1.7×	189 0.7×	296 1.1×	53	2.6k
Kichun Jo South Korea	21	1.1k 0.9×	796 0.7×	491 0.6×	285 1.0×	573 2.1×	91	2.1k
Alexander Liniger Switzerland	16	750 0.6×	834 0.7×	768 0.9×	222 0.8×	200 0.7×	30	1.7k
Sébastien Glaser France	23	1.6k 1.4×	971 0.9×	982 1.2×	306 1.1×	589 2.2×	121	2.8k
Alexandros Mouzakitis United Kingdom	16	1.2k 1.0×	512 0.5×	759 0.9×	339 1.2×	312 1.2×	41	2.4k

Countries citing papers authored by Michal Čáp

Since Specialization

Citations

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

Fields of papers citing papers by Michal Čáp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Čáp

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Čáp. A scholar is included among the top collaborators of Michal Čáp 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 Michal Čáp. Michal Čáp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Alonso–Mora, Javier, et al.. (2022). Large-scale online ridesharing: the effect of assignment optimality on system performance. Journal of Intelligent Transportation Systems. 28(2). 189–210.

2.

Čáp, Michal, et al.. (2021). Planning on a (Risk) Budget: Safe Non-Conservative Planning in Probabilistic Dynamic Environments. 10257–10263. 1 indexed citations

3.

Park, Shinkyu, Michal Čáp, Javier Alonso–Mora, Carlo Ratti, & Daniela Rus. (2020). Social Trajectory Planning for Urban Autonomous Surface Vessels. IEEE Transactions on Robotics. 37(2). 452–465. 6 indexed citations

4.

Čáp, Michal, et al.. (2019). Routing a Fleet of Automated Vehicles in a Capacitated Transportation Network. 8223–8229. 2 indexed citations

5.

Alonso–Mora, Javier, et al.. (2018). The Impact of Ridesharing in Mobility-on-Demand Systems: Simulation Case Study in Prague. Research Repository (Delft University of Technology). 1173–1178. 23 indexed citations

6.

Čáp, Michal, et al.. (2018). Fleet Sizing in Vehicle Sharing Systems with Service Quality Guarantees. 31. 1794–1800. 4 indexed citations

7.

Grégoire, Jean, Michal Čáp, & Emilio Frazzoli. (2017). Locally-optimal multi-robot navigation under delaying disturbances using homotopy constraints. Springer US. 1 indexed citations

8.

Grégoire, Jean, Michal Čáp, & Emilio Frazzoli. (2017). Locally-optimal multi-robot navigation under delaying disturbances using homotopy constraints. Autonomous Robots. 42(4). 895–907. 16 indexed citations

9.

Čáp, Michal, Jiří Vokřínek, & Alexander Kleiner. (2015). Complete Decentralized Method for On-Line Multi-Robot Trajectory Planning in Well-formed Infrastructures. Proceedings of the International Conference on Automated Planning and Scheduling. 25. 324–332. 42 indexed citations

10.

Čáp, Michal, et al.. (2014). Finding coordinated paths for multiple holonomic agents in 2-d polygonal environment. 1117–1124. 5 indexed citations

11.

Čáp, Michal, et al.. (2013). Multi-agent RRT: sampling-based cooperative pathfinding. 1263–1264.

12.

Čáp, Michal, et al.. (2013). Multi-agent RRT: sampling-based cooperative pathfinding. Adaptive Agents and Multi-Agents Systems. 1263–1264. 35 indexed citations

13.

Čáp, Michal, et al.. (2013). Deployment of multi-agent algorithms for tactical operations on UAV hardware. Adaptive Agents and Multi-Agents Systems. 1407–1408. 5 indexed citations

14.

Čáp, Michal, et al.. (2013). Asynchronous decentralized prioritized planning for coordination in multi-robot system. 3822–3829. 33 indexed citations

15.

Novák, Peter, Antonín Komenda, Viliam Lisý, et al.. (2012). Tactical operations of multi-robot teams in urban warfare (demonstration). PubMed Central. 1473–1474. 1 indexed citations

16.

Komenda, Antonín, Jiří Vokřínek, Michal Čáp, & Michal Pěchouček. (2012). Developing Multiagent Algorithms for Tactical Missions Using Simulation. IEEE Intelligent Systems. 28(1). 42–49. 4 indexed citations

17.

Jakob, Michal, Michal Pěchouček, Michal Čáp, Ondřej Vaněk, & Peter Novák. (2012). Towards Incremental Development of Human-Agent-Robot Applications using Mixed-Reality Testbeds. IEEE Intelligent Systems. 1–1. 3 indexed citations

18.

Komenda, Antonín, Michal Čáp, & Michal Pěchouček. (2012). Multi-agent Simulation Approach to Development of Applications for Decentralized Tactical Missions. 1 indexed citations

19.

Čáp, Michal, Mehdi Dastani, & Maaike Harbers. (2011). Belief/goal sharing BDI modules. Adaptive Agents and Multi-Agents Systems. 1201–1202. 3 indexed citations

20.

Čáp, Michal, Mehdi Dastani, & Maaike Harbers. (2011). Belief/goal sharing modules for BDI languages. 87–94. 3 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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