Tadeusz Lasota

64 total papers · 1.0k total citations
9 papers, 236 citations indexed

About

Tadeusz Lasota is a scholar working on Artificial Intelligence, Statistics and Probability and Information Systems. According to data from OpenAlex, Tadeusz Lasota has authored 9 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Information Systems. Recurrent topics in Tadeusz Lasota's work include Fuzzy Logic and Control Systems (7 papers), Neural Networks and Applications (7 papers) and Fuzzy Systems and Optimization (3 papers). Tadeusz Lasota is often cited by papers focused on Fuzzy Logic and Control Systems (7 papers), Neural Networks and Applications (7 papers) and Fuzzy Systems and Optimization (3 papers). Tadeusz Lasota collaborates with scholars based in Poland, Spain and Austria. Tadeusz Lasota's co-authors include Bogdan Trawiński, Zbigniew Telec, Krzysztof Trawiński, Szymon Szewrański, Marta Sylla, Edwin Lughofer, Dariusz Król and Jacek Mazurkiewicz and has published in prestigious journals such as Information Sciences, Sustainability and International Journal of Applied Mathematics and Computer Science.

In The Last Decade

Tadeusz Lasota

9 papers receiving 230 citations

Author Peers

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

Author Last Decade Papers Cites
Tadeusz Lasota 93 42 40 28 23 9 236
Chun‐Pin Tseng 37 0.4× 26 0.6× 39 1.0× 31 1.1× 17 0.7× 14 242
Philippe Caillou 120 1.3× 19 0.5× 28 0.7× 49 1.8× 17 0.7× 13 318
Weihui Deng 153 1.6× 24 0.6× 16 0.4× 36 1.3× 62 2.7× 7 312
Stéphane Tufféry 73 0.8× 23 0.5× 11 0.3× 20 0.7× 9 0.4× 7 302
Jian Li 117 1.3× 73 1.7× 10 0.3× 20 0.7× 16 0.7× 11 305
Asim Kumer Dey 33 0.4× 56 1.3× 22 0.6× 13 0.5× 11 0.5× 17 238
Arkajyoti Saha 78 0.8× 19 0.5× 23 0.6× 7 0.3× 53 2.3× 18 253
Bo Shen 47 0.5× 12 0.3× 19 0.5× 14 0.5× 25 1.1× 21 229
Joel Janek Dabrowski 58 0.6× 18 0.4× 17 0.4× 17 0.6× 11 0.5× 18 283
Marco Grassia 45 0.5× 30 0.7× 18 0.5× 7 0.3× 9 0.4× 11 314

Countries citing papers authored by Tadeusz Lasota

Since Specialization
Citations

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

Fields of papers citing papers by Tadeusz Lasota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadeusz Lasota

This figure shows the co-authorship network connecting the top 25 collaborators of Tadeusz Lasota. A scholar is included among the top collaborators of Tadeusz Lasota 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 Tadeusz Lasota. Tadeusz Lasota 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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