Martin Chmelík

16 papers receiving 543 citations

Hit Papers

Scheduling Real-Time Communication in IEEE 802.1Qbv Time ...20162026201920222016100200300

Peers

Martin Chmelík
Comparison fields: 5 of 47
  • Computer Networks and Communications 355
  • Hardware and Architecture 232
  • Computational Theory and Mathematics 182
  • Artificial Intelligence 128
  • Control and Systems Engineering 55
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Stefan Wildermann Germany
Sung-Soo Lim South Korea
Angelo Corsaro United States
Pierre Boulet France
João Canas Ferreira Portugal
Howard Mao United States
Joonyoung Kim South Korea
Xuchu Ding United States
Bart Vermeulen Netherlands
Luca Cassano Italy
Martin Chmelík relative to Stefan Wildermann Germany Stefan Wildermann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Martin Chmelík

Since Specialization
Citations

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

Fields of papers citing papers by Martin Chmelík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Chmelík

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 20
3 28
4
Scheduling Real-Time Communication in IEEE 802.1Qbv Time Sensitive Networksbreakdown →
363
5 16
6 0
7 11
8 35
9
Temporal Logic Motion Planning using POMDPs with Parity Objectives
1
10 11
11 12
12 28
13 12
14 9
15 1
16 2
17 10

About Martin Chmelík

Martin Chmelík is a scholar working on Computational Theory and Mathematics, Software and Artificial Intelligence, having authored 17 papers that have together received 560 indexed citations. Recurring topics across this work include Formal Methods in Verification (13 papers), Logic, Reasoning, and Knowledge (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Hardware and Architecture (232 citations), Computer Networks and Communications (355 citations) and Computational Theory and Mathematics (182 citations). Martin Chmelík has collaborated with scholars based in Austria, India and Czechia. Frequent co-authors include Silviu S. Craciunas, Wilfried Steiner, Ramón Serna Oliver, Krishnendu Chatterjee, Raghav Gupta, Simon H. Martin, Konrad Lohse, Nick Barton, Jessica Davies and Ivana Černá. Their work appears in journals such as Genetics, Artificial Intelligence and Theoretical Computer Science.

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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