Łukasz Dębowski

458 citations
29 papers · 209 · h-index 10

Impact in

    • Algorithms and Data Compression
    • Natural Language Processing Techniques
    • Authorship Attribution and Profiling
    • Topic Modeling
    • Computability, Logic, AI Algorithms
    • semigroups and automata theory
    • Cellular Automata and Applications

Papers in

Łukasz Dębowski

26 papers receiving 190 citations

Peers

Łukasz Dębowski
Comparison fields: 5 of 52
  • Artificial Intelligence 147
  • Computational Theory and Mathematics 70
  • Linguistics and Language 11
  • Cultural Studies 19
  • Language and Linguistics 20
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Citations per year

Countries citing papers authored by Łukasz Dębowski

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Dębowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Łukasz Dębowski, 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 Łukasz Dębowski Line = papers co-authored together Łukasz Dębowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201626
2 201118
3
A Search Tool for Corpora with Positional Tagsets and Ambiguities
200416
4 201116
5 200914
6 202113
7 202013
8 201813
9 201310
10 20129
11 20127
12 20097
13 20097
14
Zipf's law against the text size: a half-rational model.
20027
15 20156
16 20155
17 20154
18 20074
19
Ergodic decomposition of excess entropy and conditional mutual information
20063
20
Testing the Limits - Adding a New Language to an MT System.
20023

About Łukasz Dębowski

Łukasz Dębowski is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Mathematical Physics and Statistical and Nonlinear Physics, having authored 29 papers that have together received 209 indexed citations. Recurring topics across this work include Fractal and DNA sequence analysis (9 papers), Algorithms and Data Compression (9 papers), Computability, Logic, AI Algorithms (7 papers), Cellular Automata and Applications (6 papers), semigroups and automata theory (4 papers), Authorship Attribution and Profiling (3 papers), Machine Learning in Bioinformatics (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (147 citations), Computational Theory and Mathematics (70 citations), Linguistics and Language (11 citations), Cultural Studies (19 citations) and Language and Linguistics (20 citations). Łukasz Dębowski has collaborated with scholars based in Poland, Netherlands and Spain. Frequent co-authors include Kumiko Tanaka‐Ishii, Antoni Hernández-Fernändez, Ramon Ferrer‐i‐Cancho, Iván G. Torre, Adam Przepiórkowski, Fermı́n Moscoso del Prado Martı́n, Marcin Woliński, Piotr Bański, Edyta Charzyńska and Jan Hajič. Their work appears in journals such as Journal of Quantitative Linguistics, Language Resources and Evaluation, Journal of Theoretical Probability, IEEE Transactions on Information Theory and Chaos An Interdisciplinary Journal of Nonlinear 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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