Marcin Szczuka
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- Rough Sets and Fuzzy Logic 14
- Artificial Intelligence top 10%
- Semantic Web and Ontologies 4
- Statistical and Computational Modeling 3
- Neural Networks and Applications 2
- Imbalanced Data Classification Techniques 2
- Information Systems top 10%
- Data Mining Algorithms and Applications 7
- Web Data Mining and Analysis 2
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- Advanced Database Systems and Queries 3
Marcin Szczuka
26 papers receiving 172 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 87
- Signal Processing 35
- Artificial Intelligence 98
- Information Systems 63
- Transportation 12
Countries citing papers authored by Marcin Szczuka
This map shows the geographic impact of Marcin Szczuka'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 Szczuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Szczuka more than expected).
Fields of papers citing papers by Marcin Szczuka
This network shows the impact of papers produced by Marcin Szczuka. 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 Szczuka. The network helps show where Marcin Szczuka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcin Szczuka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 7 | |
| 2 | 2017 | 10 | |
| 3 | 2015 | 1 | |
| 4 | 2014 | 3 | |
| 5 | 2014 | 1 | |
| 6 | Searching for Concepts in Natural Language Part of Fire Service Reports. | 2013 | 1 |
| 7 | 2013 | 7 | |
| 8 | Knowledge Driven Query Sharding. | 2012 | 2 |
| 9 | Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. Jingtao Yao, Sheela Ramanna, Guoyin Wang, Zbigniew Suraj (eds.) | 2011 | 1 |
| 10 | 2011 | 12 | |
| 11 | 2011 | 4 | |
| 12 | 2010 | 6 | |
| 13 | 2010 | 20 | |
| 14 | Proceedings of the 2nd international conference on Rough sets and knowledge technology | 2007 | 1 |
| 15 | Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, ... / Lecture Notes in Artificial Intelligence) | 2005 | 5 |
| 16 | Monitoring, Security, and Rescue Techniques in Multiagent Systems (Advances in Soft Computing) | 2005 | 6 |
| 17 | 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 | 2003 | 3 |
| 18 | 2003 | 10 | |
| 19 | 2003 | 0 | |
| 20 | 2001 | 4 |
About Marcin Szczuka
Marcin Szczuka is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence, having authored 27 papers that have together received 178 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (14 papers), Data Mining Algorithms and Applications (7 papers), Semantic Web and Ontologies (4 papers), Advanced Database Systems and Queries (3 papers), Statistical and Computational Modeling (3 papers), Web Data Mining and Analysis (2 papers), Neural Networks and Applications (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (87 citations), Signal Processing (35 citations) and Artificial Intelligence (98 citations). Marcin Szczuka has collaborated with scholars based in Poland, Canada and China. Frequent co-authors include Dominik Ślȩzak, Hung Son Nguyen, Andrzej Skowron, Jan G. Bazan, James F. Peters, Andrzej Janusz, Qinghua Hu, Marzena Kryszkiewicz, Jakub Wróblewski and Paweł Góra. Their work appears in journals such as Neurocomputing, Theoretical Computer Science and Lecture notes in computer science.
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.