Dominik Ślȩzak

4.6k total citations
136 papers, 1.8k citations indexed

About

Dominik Ślȩzak is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Dominik Ślȩzak has authored 136 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computational Theory and Mathematics, 52 papers in Artificial Intelligence and 41 papers in Information Systems. Recurrent topics in Dominik Ślȩzak's work include Rough Sets and Fuzzy Logic (61 papers), Data Mining Algorithms and Applications (36 papers) and Data Management and Algorithms (14 papers). Dominik Ślȩzak is often cited by papers focused on Rough Sets and Fuzzy Logic (61 papers), Data Mining Algorithms and Applications (36 papers) and Data Management and Algorithms (14 papers). Dominik Ślȩzak collaborates with scholars based in Poland, Canada and South Korea. Dominik Ślȩzak's co-authors include Wojciech Ziarko, Andrzej Janusz, Hung Son Nguyen, Piotr Synak, Sebastian Stawicki, Marek Grzegorowski, Jakub Wróblewski, Jesús Medina, Fuzhan Nasiri and Liming Dai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Fuzzy Sets and Systems.

In The Last Decade

Dominik Ślȩzak

131 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dominik Ślȩzak Poland 22 999 814 743 375 259 136 1.8k
Shusaku Tsumoto Japan 21 940 0.9× 846 1.0× 752 1.0× 232 0.6× 349 1.3× 232 1.8k
Xianzhong Zhou China 27 1.6k 1.6× 922 1.1× 641 0.9× 1.0k 2.7× 272 1.1× 132 2.5k
Daniel Sánchez Spain 21 702 0.7× 1.0k 1.3× 775 1.0× 237 0.6× 429 1.7× 123 1.8k
A Bargiela United Kingdom 17 666 0.7× 924 1.1× 291 0.4× 363 1.0× 139 0.5× 56 2.1k
Tsau Young Lin United States 17 821 0.8× 570 0.7× 428 0.6× 475 1.3× 154 0.6× 74 1.4k
Mustafa Mat Deris Malaysia 19 368 0.4× 434 0.5× 451 0.6× 404 1.1× 146 0.6× 136 1.4k
Aswani Kumar Cherukuri India 20 602 0.6× 871 1.1× 369 0.5× 237 0.6× 333 1.3× 86 1.6k
Roman W. Świniarski United States 11 817 0.8× 740 0.9× 613 0.8× 188 0.5× 173 0.7× 29 1.5k
Pawan Lingras Canada 28 1.1k 1.1× 975 1.2× 771 1.0× 339 0.9× 443 1.7× 121 2.5k
Bay Vo Vietnam 29 1.2k 1.2× 1.4k 1.7× 1.8k 2.5× 120 0.3× 560 2.2× 114 2.5k

Countries citing papers authored by Dominik Ślȩzak

Since Specialization
Citations

This map shows the geographic impact of Dominik Ślȩzak'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 Dominik Ślȩzak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Ślȩzak more than expected).

Fields of papers citing papers by Dominik Ślȩzak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dominik Ślȩzak. 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 Dominik Ślȩzak. The network helps show where Dominik Ślȩzak may publish in the future.

Co-authorship network of co-authors of Dominik Ślȩzak

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Ślȩzak. A scholar is included among the top collaborators of Dominik Ślȩzak 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 Dominik Ślȩzak. Dominik Ślȩzak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nakata, Michinori, et al.. (2025). Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules. Applied Soft Computing. 172. 112842–112842.
2.
Janusz, Andrzej, et al.. (2024). Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform. SHILAP Revista de lepidopterología. 39. 731–737. 3 indexed citations
3.
Janusz, Andrzej, et al.. (2023). BrightBox — A rough set based technology for diagnosing mistakes of machine learning models. Applied Soft Computing. 141. 110285–110285. 10 indexed citations
4.
Janusz, Andrzej, Dominik Ślȩzak, Sebastian Stawicki, & Krzysztof Stencel. (2023). A practical study of methods for deriving insightful attribute importance rankings using decision bireducts. Information Sciences. 645. 119354–119354. 6 indexed citations
5.
Szczuka, Marcin, et al.. (2022). IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. 2022 IEEE International Conference on Big Data (Big Data). abs/1811.11283. 6471–6480. 7 indexed citations
6.
Michalak, Marcin, Roman Jaksik, & Dominik Ślȩzak. (2020). Heuristic search of exact biclusters in binary data. International Journal of Applied Mathematics and Computer Science. 30(1). 5 indexed citations
7.
Zdravevski, Eftim, et al.. (2019). Scalable Cloud-based ETL for Self-serving Analytics.. 317–331. 2 indexed citations
8.
Medina, Jesús, et al.. (2019). Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis. Fuzzy Sets and Systems. 391. 117–138. 31 indexed citations
9.
Ślȩzak, Dominik, Ah‐Hwee Tan, James F. Peters, & Lars Schwabe. (2014). Brain Informatics and Health: International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings. Springer eBooks. 1 indexed citations
10.
Ślȩzak, Dominik, et al.. (2012). A Rough-Columnar RDBMS Engine - A Case Study of Correlated Subqueries. IEEE Transactions on Knowledge and Data Engineering. 35(1). 34–39. 5 indexed citations
11.
Ślȩzak, Dominik, Krzysztof Stencel, & Hung Son Nguyen. (2012). No)SQL platform for scalable semantic processing of fast growing document repositories. ERCIM news/ERCIM news online edition. 2012. 50–51. 3 indexed citations
12.
Howard, Daniel L., et al.. (2011). Convergence and hybrid information technology : 5th International Conference, ICHIT 2011, Daejeon, Korea, September 22-24, 2011 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations
13.
Howard, Daniel, et al.. (2009). Proceedings of the 2009 International Conference on Hybrid Information Technology. 7 indexed citations
14.
Ślȩzak, Dominik, et al.. (2009). Grid and Distributed Computing: International Conference, GDC 2009, Held as Part of the Future Generation Information Technology Conferences, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings: Preface. Communications in computer and information science. 63. 2 indexed citations
15.
Ślȩzak, Dominik & Jakub Wróblewski. (2006). Rough Discretization of Gene Expression Data. 2. 265–267. 4 indexed citations
16.
Mafakheri, Fereshteh, Liming Dai, Dominik Ślȩzak, & Fuzhan Nasiri. (2005). Selecting the optimal project delivery system: a rough-AHP decision aid. 279(32). 33093–103. 1 indexed citations
17.
Ślȩzak, Dominik, et al.. (2005). 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). Springer eBooks. 5 indexed citations
18.
Ślȩzak, Dominik & Wojciech Ziarko. (2005). The investigation of the Bayesian rough set model. International Journal of Approximate Reasoning. 40(1-2). 81–91. 247 indexed citations
19.
Ślȩzak, Dominik. (2004). The Rough Bayesian model for distributed decision systems. Lecture notes in computer science. 384–393. 8 indexed citations
20.
Kosiński, Witold, Piotr Prokopowicz, & Dominik Ślȩzak. (2003). Counting with fuzzy numbers. 221–225. 1 indexed citations

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.

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