Paweł Parys
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Signal Processing
- Computer Vision and Pattern Recognition
- Co-authors
- Mikołaj BojańczykKrzysztof OnakWojciech CzerwińskiSzymon ToruńczykWim MartensIgor WalukiewiczDamian NiwińskiAndré Arnold
- Topics
- Logic, programming, and type systems (11 papers)semigroups and automata theory (10 papers)Advanced Database Systems and Queries (8 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaJournal of the ACMACM SIGMOD Record
In The Last Decade
Paweł Parys
22 papers receiving 105 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 88
- Computational Theory and Mathematics 56
- Computer Networks and Communications 51
- Signal Processing 21
- Computer Vision and Pattern Recognition 10
Countries citing papers authored by Paweł Parys
This map shows the geographic impact of Paweł Parys'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 Paweł Parys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paweł Parys more than expected).
Fields of papers citing papers by Paweł Parys
This network shows the impact of papers produced by Paweł Parys. 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 Paweł Parys. The network helps show where Paweł Parys may publish in the future.
Co-authorship network of co-authors of Paweł Parys
This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Parys. A scholar is included among the top collaborators of Paweł Parys 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 Paweł Parys. Paweł Parys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | Ocena zróżnicowania wartości wskaźników wykorzystywanych w podejściu porównawczym w wybranych sektorach na Giełdzie Papierów Wartościowych w Warszawie | 1 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 8 | |
| 18 | 11 | |
| 19 | WEAK ALTERNATING TIMED AUTOMATA | 1 |
| 20 | 21 |
About Paweł Parys
Paweł Parys is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 28 papers that have together received 114 indexed citations. Recurring topics across this work include Logic, programming, and type systems (11 papers), semigroups and automata theory (10 papers) and Advanced Database Systems and Queries (8 papers). The work is most often cited by research in Computational Theory and Mathematics (56 citations), Artificial Intelligence (88 citations) and Computer Networks and Communications (51 citations). Paweł Parys has collaborated with scholars based in Poland, France and Germany. Frequent co-authors include Mikołaj Bojańczyk, Krzysztof Onak, Wojciech Czerwiński, Szymon Toruńczyk, Wim Martens, Igor Walukiewicz, Damian Niwiński, André Arnold, Filip Murlak and Dominik Wojtczak. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the ACM and ACM SIGMOD Record.
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.