Milan Češka

840 citations
24 papers · 214 indexed · h-index 9
Topics
Formal Methods in Verification (13 papers)Software Testing and Debugging Techniques (7 papers)Gene Regulatory Network Analysis (4 papers)

In The Last Decade

Milan Češka

24 papers receiving 210 citations

Peers

Milan Češka
Comparison fields: 5 of 31
  • Computational Theory and Mathematics 98
  • Software 77
  • Artificial Intelligence 71
  • Electrical and Electronic Engineering 51
  • Computer Networks and Communications 48
Replace Arjun Radhakrishna with:
Arjun Radhakrishna United States
Ruggero Lanotte Italy
Mark Bickford United States
Frank Ciesinski Germany
Arnd Hartmanns Germany
Ananda Basu France
Michal Rimon Israel
Pramod V. Koppol United States
Simone Tini Italy
Jared Roesch United States
Milan Češka relative to Arjun Radhakrishna United States Arjun Radhakrishna's profile →
Citations per field
00.5×10×14.5×
Arjun Radhakrishna · 1×
Citations per year

Countries citing papers authored by Milan Češka

Since Specialization
Citations

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

Fields of papers citing papers by Milan Češka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Češka

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Češka. A scholar is included among the top collaborators of Milan Češka 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 Milan Češka. Milan Češka 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 2
2 1
3 11
4 22
5 35
6 15
7 7
8 19
9 8
10
Petri Net Simulation as a Service.
1
11 1
12 16
13
DiVinE: Parallel Distributed Model Checker (Tool paper)
14
14 36
15 1
16 2
17
Distributed Qualitative LTL Model Checking of Markov DecisionProcesses
1
18 1
19 2
20
Generating and using state spaces of object-oriented Petri nets.
1

About Milan Češka

Milan Češka is a scholar working on Software, Computational Theory and Mathematics and Hardware and Architecture, having authored 24 papers that have together received 214 indexed citations. Recurring topics across this work include Formal Methods in Verification (13 papers), Software Testing and Debugging Techniques (7 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Software (77 citations), Computational Theory and Mathematics (98 citations) and Hardware and Architecture (39 citations). Milan Češka has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Luboš Brim, Jǐŕı Barnat, Marta Kwiatkowska, Petr Ročkai, Nicola Paoletti, Tomáš Vojnar, Simos Gerasimou, Radu Călinescu, Lukáš Sekanina and Vojtěch Mrázek. Their work appears in journals such as PLoS ONE, Applied Soft Computing and Journal of Systems and Software.

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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