Wojciech Plandowski

63 total papers · 1.2k total citations
27 papers, 232 citations indexed

About

Wojciech Plandowski is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Wojciech Plandowski has authored 27 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in Wojciech Plandowski's work include semigroups and automata theory (18 papers), Algorithms and Data Compression (17 papers) and Natural Language Processing Techniques (11 papers). Wojciech Plandowski is often cited by papers focused on semigroups and automata theory (18 papers), Algorithms and Data Compression (17 papers) and Natural Language Processing Techniques (11 papers). Wojciech Plandowski collaborates with scholars based in Poland, Finland and United Kingdom. Wojciech Plandowski's co-authors include Juhani Karhumäki, Wojciech Rytter, Filippo Mignosi, Marek Karpiński, Marek Biskup, Lucian Ilie, Thierry Lecroq, Leszek Gąsieniec, Richard Cole and Costas S. Iliopoulos and has published in prestigious journals such as Journal of the ACM, Theoretical Computer Science and Journal of Computer and System Sciences.

In The Last Decade

Wojciech Plandowski

26 papers receiving 225 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wojciech Plandowski	188	152	34	31	31	27	232
Danièle Beauquier	117 0.6×	197 1.3×	55 1.6×	8 0.3×	24 0.8×	22	245
Thomas Colcombet	235 1.3×	204 1.3×	31 0.9×	31 1.0×	19 0.6×	38	307
Artur Jeż	191 1.0×	178 1.2×	65 1.9×	14 0.5×	10 0.3×	37	244
Yoram Hirshfeld	215 1.1×	247 1.6×	19 0.6×	30 1.0×	57 1.8×	21	308
Marc Zeitoun	106 0.6×	151 1.0×	29 0.9×	8 0.3×	8 0.3×	35	176
Uli Fahrenberg	130 0.7×	162 1.1×	8 0.2×	35 1.1×	89 2.9×	43	231
Panos Rondogiannis	131 0.7×	123 0.8×	17 0.5×	12 0.4×	8 0.3×	41	173
Gheorghe Ştefănescu	100 0.5×	82 0.5×	35 1.0×	9 0.3×	17 0.5×	30	213
Mila Majster-Cederbaum	190 1.0×	261 1.7×	9 0.3×	13 0.4×	45 1.5×	45	309
Alexander Leitsch	307 1.6×	224 1.5×	10 0.3×	20 0.6×	30 1.0×	37	321

Countries citing papers authored by Wojciech Plandowski

Since Specialization

Citations

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

Fields of papers citing papers by Wojciech Plandowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wojciech Plandowski

This figure shows the co-authorship network connecting the top 25 collaborators of Wojciech Plandowski. A scholar is included among the top collaborators of Wojciech Plandowski 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 Wojciech Plandowski. Wojciech Plandowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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