Marcin Kubica
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Hardware and Architecture top 10%
- Computer Networks and Communications
- Co-authors
- Tomasz WaleńCostas S. IliopoulosWojciech RytterJakub RadoszewskiMaxime CrochemoreGerman TischlerM. Sohel RahmanKrzysztof Stencel
- Topics
- Algorithms and Data Compression (16 papers)semigroups and automata theory (13 papers)DNA and Biological Computing (7 papers)
- Journals
- Theoretical Computer ScienceJournal of Computer and System SciencesDiscrete Applied Mathematics
- Partner nations
- PolandUnited KingdomFrance
In The Last Decade
Marcin Kubica
17 papers receiving 168 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 137
- Computational Theory and Mathematics 90
- Molecular Biology 57
- Hardware and Architecture 40
- Computer Networks and Communications 20
Countries citing papers authored by Marcin Kubica
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).
Fields of papers citing papers by Marcin Kubica
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.
Co-authorship network of co-authors of Marcin Kubica
This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Kubica. A scholar is included among the top collaborators of Marcin Kubica 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 Marcin Kubica. Marcin Kubica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 28 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | A Proposal for a Task Preparation Process | 4 |
| 15 | Symposium on Theoretical Aspects of Computer Science | 45 |
| 16 | Combinatorial Pattern Matching, Proceedings | 1 |
| 17 | Polish Olympiad in Informatics - 14 Years of Experience | 4 |
About Marcin Kubica
Marcin Kubica is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Science Applications, having authored 17 papers that have together received 176 indexed citations. Recurring topics across this work include Algorithms and Data Compression (16 papers), semigroups and automata theory (13 papers) and DNA and Biological Computing (7 papers). The work is most often cited by research in Hardware and Architecture (40 citations), Computational Theory and Mathematics (90 citations) and Artificial Intelligence (137 citations). Marcin Kubica has collaborated with scholars based in Poland, United Kingdom and France. Frequent co-authors include Tomasz Waleń, Costas S. Iliopoulos, Wojciech Rytter, Jakub Radoszewski, Maxime Crochemore, German Tischler, M. Sohel Rahman, Krzysztof Stencel, Costas S. Iliopoulos and Lucian Ilie. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Discrete Applied Mathematics.
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.