Jiří Vokřínek

27 papers receiving 239 citations

Peers

Jiří Vokřínek
Comparison fields: 5 of 57
  • Industrial and Manufacturing Engineering 91
  • Artificial Intelligence 82
  • Computer Vision and Pattern Recognition 70
  • Computer Networks and Communications 57
  • Automotive Engineering 42
Replace Hon Wai Chun with:
Hon Wai Chun Hong Kong
Deepan Muthirayan United States
Péter Földesi Hungary
Gianfranco E. Modoni Italy
C.C. Hayes United States
Siyu Yu China
Gloria Cerasela Crişan Romania
Sajib Mistry Australia
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Jiří Vokřínek relative to Hon Wai Chun Hong Kong Hon Wai Chun's profile →
Citations per field
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Hon Wai Chun · 1×
Citations per year

Countries citing papers authored by Jiří Vokřínek

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Vokřínek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiří Vokřínek

This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Vokřínek. A scholar is included among the top collaborators of Jiří Vokřínek 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 Jiří Vokřínek. Jiří Vokřínek 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
#WorkIndexed citations
1 1
2 0
3 4
4 0
5 42
6 12
7 5
8 4
9 4
10 11
11 27
12 9
13 3
14 2
15
Decommitting in multi-agent execution in non-deterministic environment: experimental approach
9
16
AAMAS '09 Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems
42
17
Proceedings of the Fifth International Conference on Knowledge Systems for Coalition Operations (KSCO-2009)
1
18 1
19
ExPlanTech and ExtraPlanT: multi-agent technology for production planning, simulation and extra-enterprise collaboration
9
20 19

About Jiří Vokřínek

Jiří Vokřínek is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 256 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Multi-Agent Systems and Negotiation (8 papers) and Vehicle Routing Optimization Methods (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (91 citations), Automotive Engineering (42 citations) and Computer Vision and Pattern Recognition (70 citations). Jiří Vokřínek has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Michal Pěchouček, Antonín Komenda, Michal Čáp, Alexander Kleiner, Gerhard Wickler, Austin Tate, Vladimı́r Mařı́k, Jeff Dalton, Jan Faigl and Fabio Tango. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, International Journal of Production Research and IEEE Intelligent Systems.

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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