František Mráz

648 citations
79 papers · 435 · h-index 10

Impact in

Papers in

František Mráz

60 papers receiving 417 citations

Peers

František Mráz
Comparison fields: 5 of 18
  • Computational Theory and Mathematics 391
  • Artificial Intelligence 300
  • Molecular Biology 385
  • Mechanical Engineering 28
  • Computer Networks and Communications 14
Replace Andreas Malcher with:
Andreas Malcher Germany
Carlo Mereghetti Italy
Beatrice Palano Italy
Henning Bordihn Germany
Shinnosuke Seki Japan
Maria Madonia Italy
Manfred Kudlek Germany
György Vaszil Hungary
Detlef Wotschke United States
Jean-Michel Autebert France
František Mráz relative to Andreas Malcher Germany Andreas Malcher's profile →
Citations per field
00.5×1.5×1.9×
Andreas Malcher · 1×
Citations per year

Countries citing papers authored by František Mráz

Since Specialization
Citations

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

Fields of papers citing papers by František Mráz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside František Mráz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with František Mráz Line = papers co-authored together František Mráz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199583
2 199955
3 200120
4 199719
5 201419
6 201410
7 201210
8
Restarting Automata, Marcus Grammars and Context-Free Languages.
19959
9 20069
10 19939
11 19928
12 20108
13 19988
14 20057
15 20137
16 20147
17
Restarting Automata, Deleting and Marcus Grammars.
20007
18 20156
19 20066
20 20046

About František Mráz

František Mráz is a scholar working on Computational Theory and Mathematics, Molecular Biology, Artificial Intelligence, Mechanical Engineering and Computer Networks and Communications, having authored 79 papers that have together received 435 indexed citations. Recurring topics across this work include DNA and Biological Computing (65 papers), semigroups and automata theory (62 papers), Machine Learning and Algorithms (21 papers), Algorithms and Data Compression (18 papers), Natural Language Processing Techniques (14 papers), Cellular Automata and Applications (12 papers), Modular Robots and Swarm Intelligence (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (391 citations), Artificial Intelligence (300 citations), Molecular Biology (385 citations), Mechanical Engineering (28 citations) and Computer Networks and Communications (14 citations). František Mráz has collaborated with scholars based in Czechia, Germany and Poland. Frequent co-authors include Martin Plátek, Petr Jančar, Jörg Vogel, Friedrich Otto, Daniel Průša, Tomasz Jurdziński, Martin Procházka, K. Gunthoti, A. Manna and M. Bacak. Their work appears in journals such as Lecture notes in computer science, Theoretical Computer Science, International Journal of Foundations of Computer Science, Acta Informatica and Theory of Computing 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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