Karol Pąk
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Geometry and Topology top 10%
- Algebra and Number Theory
- Atomic and Molecular Physics, and Optics
- Co-authors
- Artur KorniłowiczAdam NaumowiczCzesław BylińskiGrzegorz BancerekAdam GrabowskiRoman MatuszewskiCezary KaliszykAndrzej Trybulec
- Topics
- Logic, programming, and type systems (16 papers)Logic, Reasoning, and Knowledge (8 papers)Matrix Theory and Algorithms (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Automated Reasoning
In The Last Decade
Karol Pąk
52 papers receiving 273 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 198
- Computational Theory and Mathematics 159
- Geometry and Topology 58
- Algebra and Number Theory 33
- Atomic and Molecular Physics, and Optics 29
Countries citing papers authored by Karol Pąk
This map shows the geographic impact of Karol Pąk'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 Karol Pąk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karol Pąk more than expected).
Fields of papers citing papers by Karol Pąk
This network shows the impact of papers produced by Karol Pąk. 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 Karol Pąk. The network helps show where Karol Pąk may publish in the future.
Co-authorship network of co-authors of Karol Pąk
This figure shows the co-authorship network connecting the top 25 collaborators of Karol Pąk. A scholar is included among the top collaborators of Karol Pąk 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 Karol Pąk. Karol Pąk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 125 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | THE ALGORITHMS FOR IMPROVING AND REORGANIZING NATURAL DEDUCTION PROOFS | 10 |
| 20 | 5 |
About Karol Pąk
Karol Pąk is a scholar working on Theoretical Computer Science, Geometry and Topology and Algebra and Number Theory, having authored 62 papers that have together received 312 indexed citations. Recurring topics across this work include Logic, programming, and type systems (16 papers), Logic, Reasoning, and Knowledge (8 papers) and Matrix Theory and Algorithms (7 papers). The work is most often cited by research in Theoretical Computer Science (12 citations), Computational Theory and Mathematics (159 citations) and Algebra and Number Theory (33 citations). Karol Pąk has collaborated with scholars based in Poland, Austria and Czechia. Frequent co-authors include Artur Korniłowicz, Adam Naumowicz, Czesław Byliński, Grzegorz Bancerek, Adam Grabowski, Roman Matuszewski, Cezary Kaliszyk, Andrzej Trybulec, Josef Urban and Chad E. Brown. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Automated Reasoning.
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.