Marcin Jurdziński

3.0k citations
54 papers · 1.9k · h-index 19

Impact in

Papers in

Marcin Jurdziński

53 papers receiving 1.7k citations

Peers

Marcin Jurdziński
Comparison fields: 5 of 54
  • Computational Theory and Mathematics 1.5k
  • Software 364
  • Artificial Intelligence 1.3k
  • Management Science and Operations Research 271
  • Hardware and Architecture 86
Replace Antonı́n Kučera with:
Antonı́n Kučera Czechia
Rudolf Berghammer Germany
Nicolas Markey France
Richard Mayr United Kingdom
James Worrell United Kingdom
Sven Schewe United Kingdom
Josée Desharnais Canada
Jean Goubault-Larrecq France
Wiesław Zielonka France
Franck van Breugel Canada
Marcin Jurdziński relative to Antonı́n Kučera Czechia Antonı́n Kučera's profile →
Citations per field
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Antonı́n Kučera · 1×
Citations per year

Countries citing papers authored by Marcin Jurdziński

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Jurdziński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcin Jurdziński, 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 Marcin Jurdziński Line = papers co-authored together Marcin Jurdziński links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000287
2 1998238
3 2000146
4 2004107
5 200395
6 200688
7 200282
8 201175
9 200675
10 200664
11 200864
12 200264
13 200459
14 200647
15 200741
16 201428
17 201423
18 200720
19 201519
20 200318

About Marcin Jurdziński

Marcin Jurdziński is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics and Software, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Formal Methods in Verification (34 papers), Logic, programming, and type systems (18 papers), Logic, Reasoning, and Knowledge (14 papers), Game Theory and Applications (12 papers), Game Theory and Voting Systems (11 papers), semigroups and automata theory (10 papers), Artificial Intelligence in Games (7 papers) and Petri Nets in System Modeling (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Software (364 citations), Artificial Intelligence (1.3k citations), Management Science and Operations Research (271 citations) and Hardware and Architecture (86 citations). Marcin Jurdziński has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Krishnendu Chatterjee, Thomas A. Henzinger, Uri Zwick, Mike Paterson, Ranko Lazić, Igor Walukiewicz, Stefan Dziembowski, John Fearnley, T. A. Henzinger and Rupak Majumdar. Their work appears in journals such as Lecture notes in computer science, Information and Computation, Journal of Computer and System Sciences, Algorithmica and Logical Methods in 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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