Jan G. Bazan
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Physiology
- Pulmonary and Respiratory Medicine
- Information Systems top 10%
- Co-authors
- Lech ZarębaStanisława Bazan‐SochaAndrzej SkowronJames F. PetersJerzy SojaHung Son NguyenKrzysztof OkońMarcin Szczuka
- Topics
- Rough Sets and Fuzzy Logic (13 papers)Data Mining Algorithms and Applications (9 papers)Asthma and respiratory diseases (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- PolandCanadaUnited States
In The Last Decade
Jan G. Bazan
39 papers receiving 242 citations
Peers
Comparison fields: 5 of 61
- Computational Theory and Mathematics 75
- Artificial Intelligence 72
- Physiology 64
- Pulmonary and Respiratory Medicine 55
- Information Systems 53
Countries citing papers authored by Jan G. Bazan
This map shows the geographic impact of Jan G. Bazan'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 Jan G. Bazan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan G. Bazan more than expected).
Fields of papers citing papers by Jan G. Bazan
This network shows the impact of papers produced by Jan G. Bazan. 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 Jan G. Bazan. The network helps show where Jan G. Bazan may publish in the future.
Co-authorship network of co-authors of Jan G. Bazan
This figure shows the co-authorship network connecting the top 25 collaborators of Jan G. Bazan. A scholar is included among the top collaborators of Jan G. Bazan 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 Jan G. Bazan. Jan G. Bazan 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 | 2 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | Classifiers for Behavioral Patterns Identification Induced from Huge Temporal Data. | 1 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Rough Set Approach to Behavioral Pattern Identification | 4 |
| 18 | Modelling Complex Patterns by Information Systems | 6 |
| 19 | Spatio-Temporal Approximate Reasoning over Complex Objects | 5 |
| 20 | Rough set approach to pattern extraction from classifiers, In: Proceedings of the Workshop on Rough Sets in Knowledge Discovery and Soft Computing at ETAPS’2003 | 3 |
About Jan G. Bazan
Jan G. Bazan is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence, having authored 41 papers that have together received 247 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (13 papers), Data Mining Algorithms and Applications (9 papers) and Asthma and respiratory diseases (9 papers). The work is most often cited by research in Computational Theory and Mathematics (75 citations), Physiology (64 citations) and Information Systems (53 citations). Jan G. Bazan has collaborated with scholars based in Poland, Canada and United States. Frequent co-authors include Lech Zaręba, Stanisława Bazan‐Socha, Andrzej Skowron, James F. Peters, Jerzy Soja, Hung Son Nguyen, Krzysztof Okoń, Marcin Szczuka, Ewa Rak and Teresa Iwaniec. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.
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.