Marcin Kubica

14 papers and 138 indexed citations i.

About

Marcin Kubica is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Marcin Kubica has authored 14 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 7 papers in Molecular Biology. Recurrent topics in Marcin Kubica’s work include Algorithms and Data Compression (14 papers), semigroups and automata theory (12 papers) and DNA and Biological Computing (7 papers). Marcin Kubica is often cited by papers focused on Algorithms and Data Compression (14 papers), semigroups and automata theory (12 papers) and DNA and Biological Computing (7 papers). Marcin Kubica collaborates with scholars based in Poland, United Kingdom and France. Marcin Kubica's co-authors include Tomasz Waleń, Wojciech Rytter, Jakub Radoszewski, Maxime Crochemore, Costas S. Iliopoulos, M. Sohel Rahman, German Tischler, Tomasz Kociumaka, Solon P. Pissis and Costas S. Iliopoulos and has published in prestigious journals such as Journal of Computer and System Sciences, Theoretical Computer Science and Discrete Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of Marcin Kubica i

Fields of papers citing papers by Marcin Kubica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcin Kubica

Since Specialization
Citations

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

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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2025