László Csirmaz

608 citations
25 papers · 243 · h-index 9

Impact in

Papers in

László Csirmaz

22 papers receiving 211 citations

Peers

László Csirmaz
Comparison fields: 5 of 35
  • Computational Theory and Mathematics 174
  • Artificial Intelligence 199
  • Discrete Mathematics and Combinatorics 12
  • Numerical Analysis 11
  • Computer Networks and Communications 42
Replace Satyanarayana V. Lokam with:
Satyanarayana V. Lokam United States
Stathis Zachos Greece
M. Alekhnovich United States
C. P. Schnorr Germany
Rishi Saket United States
Arnab Bhattacharyya United States
Prahladh Harsha United States
Yang P. Liu United States
Shubhangi Saraf United States
Aleksandar Nikolov United States
László Csirmaz relative to Satyanarayana V. Lokam United States Satyanarayana V. Lokam's profile →
Citations per field
00.5×3.4×
Satyanarayana V. Lokam · 1×
Citations per year

Countries citing papers authored by László Csirmaz

Since Specialization
Citations

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

Fields of papers citing papers by László Csirmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside László Csirmaz, 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 László Csirmaz Line = papers co-authored together László Csirmaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199787
2 200919
3 198218
4 198114
5 201513
6 201213
7 200712
8 200910
9
Logic Colloquium '92
19959
10 19817
11 19857
12 20147
13 20206
14 20145
15 19845
16 19833
17
Structure of program runs of non-standard time.
19802
18 20132
19 20111
20 20221

About László Csirmaz

László Csirmaz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 25 papers that have together received 243 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Logic, programming, and type systems (6 papers), Logic, Reasoning, and Knowledge (6 papers), Complexity and Algorithms in Graphs (6 papers), Chaos-based Image/Signal Encryption (4 papers), Distributed systems and fault tolerance (3 papers), graph theory and CDMA systems (3 papers) and Computability, Logic, AI Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (174 citations), Artificial Intelligence (199 citations), Discrete Mathematics and Combinatorics (12 citations), Numerical Analysis (11 citations) and Computer Networks and Communications (42 citations). László Csirmaz has collaborated with scholars based in Hungary, Czechia and United States. Frequent co-authors include József Beck, Gábor Tardos, J. B. Paris and Maarten de Rijke. Their work appears in journals such as Future Internet, IEEE Transactions on Information Theory, Computational Optimization and Applications, Journal of Symbolic Logic and Journal of Cryptology.

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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