Tomasz Jurdziński

36 papers receiving 241 citations

Peers

Tomasz Jurdziński
Comparison fields: 5 of 37
  • Computer Networks and Communications 168
  • Computational Theory and Mathematics 81
  • Artificial Intelligence 73
  • Molecular Biology 51
  • Electrical and Electronic Engineering 41
Replace Chong Shangguan with:
Chong Shangguan China
Klim Efremenko Israel
Venkat Chandar United States
Hironori Uchikawa Japan
Qiaoqiao Zhou Hong Kong
Yves Métivier France
Shih-Chun Chang United States
Pavol Ďuriš Slovakia
Andrzej Szepietowski Poland
Hyun Kwang Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Tomasz Jurdziński

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Jurdziński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Jurdziński

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Jurdziński. A scholar is included among the top collaborators of Tomasz Jurdziński 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 Tomasz Jurdziński. Tomasz Jurdziński 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 0
2 1
3 4
4 0
5 2
6 7
7 0
8
Proceedings of the 34th international colloquium on Automata, Languages and Programming
28
9 11
10 6
11
Proceedings of the 34th international conference on Automata, Languages and Programming
4
12 0
13 0
14 7
15 3
16
Deterministic Two-Way Restarting Automata and Marcus Contextual Grammars
2
17 1
18 7
19 2
20 42

About Tomasz Jurdziński

Tomasz Jurdziński is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 41 papers that have together received 252 indexed citations. Recurring topics across this work include semigroups and automata theory (13 papers), Cooperative Communication and Network Coding (11 papers) and DNA and Biological Computing (10 papers). The work is most often cited by research in Computer Networks and Communications (168 citations), Computational Theory and Mathematics (81 citations) and Artificial Intelligence (73 citations). Tomasz Jurdziński has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Grzegorz Stachowiak, Mirosław Kutyłowski, Dariusz R. Kowalski, Friedrich Otto, Michał Różański, Andrzej Tarlecki, Lars Arge, Christian Cachin, František Mráz and Gianluca De Marco. Their work appears in journals such as IEEE Communications Letters, Theoretical Computer Science and Journal of Computer and System Sciences.

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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