Marcin Szeląg

670 total citations
9 papers, 305 citations indexed

About

Marcin Szeląg is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Marcin Szeląg has authored 9 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 5 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Marcin Szeląg's work include Rough Sets and Fuzzy Logic (8 papers), Data Mining Algorithms and Applications (5 papers) and Imbalanced Data Classification Techniques (2 papers). Marcin Szeląg is often cited by papers focused on Rough Sets and Fuzzy Logic (8 papers), Data Mining Algorithms and Applications (5 papers) and Imbalanced Data Classification Techniques (2 papers). Marcin Szeląg collaborates with scholars based in Poland, Italy and China. Marcin Szeląg's co-authors include Roman Słowiński, Jerzy Błaszczyński, Adiel Teixeira de Almeida Filho, Salvatore Greco, Mohammed Jabreel, Wojciech Kotłowski, Wei Deng, Feng Hu, Antonio Moreno and Guoyin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Marcin Szeląg

8 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcin Szeląg Poland	6	193	144	107	99	25	9	305
Mingwei Wang China	8	187 1.0×	85 0.6×	253 2.4×	40 0.4×	29 1.2×	17	327
Rob Potharst Netherlands	9	91 0.5×	187 1.3×	51 0.5×	90 0.9×	14 0.6×	18	307
Stéphane Lallich France	9	103 0.5×	210 1.5×	25 0.2×	120 1.2×	41 1.6×	27	365
Roan Thi Ngan Vietnam	6	90 0.5×	122 0.8×	255 2.4×	40 0.4×	14 0.6×	9	346
Miroslav Hudec Slovakia	8	40 0.2×	122 0.8×	65 0.6×	58 0.6×	75 3.0×	43	251
Shuning Wu China	5	19 0.1×	127 0.9×	37 0.3×	81 0.8×	36 1.4×	13	263
Christopher D. Clack United Kingdom	10	70 0.4×	178 1.2×	81 0.8×	55 0.6×	12 0.5×	47	311
Xiangtang Chen China	8	284 1.5×	96 0.7×	220 2.1×	84 0.8×	30 1.2×	15	373
Filip Rudziński Poland	8	34 0.2×	212 1.5×	31 0.3×	29 0.3×	10 0.4×	24	313
Belaïd Benhamou France	9	50 0.3×	100 0.7×	50 0.5×	31 0.3×	18 0.7×	45	249

Countries citing papers authored by Marcin Szeląg

Since Specialization

Citations

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

Fields of papers citing papers by Marcin Szeląg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Szeląg

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

All Works

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9 of 9 papers shown

Szeląg, Marcin, et al.. (2023). EVALUATION OF MODERN HERITAGE ASSETS IN POZNAN USING MONOTONIC DECISION RULES. SHILAP Revista de lepidopterología. XLVIII-M-2-2023. 1373–1378.

Szeląg, Marcin & Roman Słowiński. (2023). Explaining and predicting customer churn by monotonic rules induced from ordinal data. European Journal of Operational Research. 317(2). 414–424. 11 indexed citations

Moreno, Antonio, et al.. (2022). A Comparative Study of Two Rule-Based Explanation Methods for Diabetic Retinopathy Risk Assessment. Applied Sciences. 12(7). 3358–3358. 5 indexed citations

Błaszczyński, Jerzy, et al.. (2020). Auto loan fraud detection using dominance-based rough set approach versus machine learning methods. Expert Systems with Applications. 163. 113740–113740. 77 indexed citations

Szeląg, Marcin, Salvatore Greco, & Roman Słowiński. (2014). Variable consistency dominance-based rough set approach to preference learning in multicriteria ranking. Information Sciences. 277. 525–552. 43 indexed citations

Deng, Wei, Feng Hu, Guoyin Wang, et al.. (2013). A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints. Fundamenta Informaticae. 126(4). 377–395. 8 indexed citations

Błaszczyński, Jerzy, Roman Słowiński, & Marcin Szeląg. (2010). Sequential covering rule induction algorithm for variable consistency rough set approaches. Information Sciences. 181(5). 987–1002. 158 indexed citations

Dembczyński, Krzysztof, Wojciech Kotłowski, Roman Słowiński, & Marcin Szeląg. (2010). Learning of Rule Ensembles for Multiple Attribute Ranking Problems.. 217–247. 1 indexed citations

Błaszczyński, Jerzy, Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, & Marcin Szeląg. (2006). Ensembles of decision rules. Foundations of Computing and Decision Sciences. 221–232. 2 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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