Jarosław Pykacz
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Marek ŻukowskiDiederik AertsBart D’HoogheClaudio GarolaMarek CzachorLiane GaboraEmilio SantosSven Aerts
- Topics
- Advanced Algebra and Logic (23 papers)Quantum Mechanics and Applications (23 papers)Quantum Information and Cryptography (13 papers)
- Cited by
- Computational Theory and MathematicsHistory and Philosophy of ScienceAtomic and Molecular Physics, and Optics
In The Last Decade
Jarosław Pykacz
41 papers receiving 233 citations
Peers
Comparison fields: 5 of 54
- Atomic and Molecular Physics, and Optics 144
- Artificial Intelligence 136
- Computational Theory and Mathematics 86
- Statistical and Nonlinear Physics 48
- Management Science and Operations Research 40
Countries citing papers authored by Jarosław Pykacz
This map shows the geographic impact of Jarosław Pykacz'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 Jarosław Pykacz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jarosław Pykacz more than expected).
Fields of papers citing papers by Jarosław Pykacz
This network shows the impact of papers produced by Jarosław Pykacz. 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 Jarosław Pykacz. The network helps show where Jarosław Pykacz may publish in the future.
Co-authorship network of co-authors of Jarosław Pykacz
This figure shows the co-authorship network connecting the top 25 collaborators of Jarosław Pykacz. A scholar is included among the top collaborators of Jarosław Pykacz 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 Jarosław Pykacz. Jarosław Pykacz 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 | 1 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 28 | |
| 12 | 7 | |
| 13 | 17 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Quantum Logics and Soft Fuzzy Probability Spaces | 6 |
| 19 | 2 | |
| 20 | 6 |
About Jarosław Pykacz
Jarosław Pykacz is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 45 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (23 papers), Quantum Mechanics and Applications (23 papers) and Quantum Information and Cryptography (13 papers). The work is most often cited by research in Computational Theory and Mathematics (86 citations), History and Philosophy of Science (22 citations) and Atomic and Molecular Physics, and Optics (144 citations). Jarosław Pykacz has collaborated with scholars based in Poland, Belgium and Slovakia. Frequent co-authors include Marek Żukowski, Diederik Aerts, Bart D’Hooghe, Claudio Garola, Marek Czachor, Liane Gabora, Emilio Santos, Sven Aerts, Mladen Pavičić and Thomas Durt. Their work appears in journals such as Physics Letters A, International Journal of General Systems and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.
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.