Jerzy Stefanowski

9.1k total citations · 3 hit papers
65 papers, 3.7k citations indexed

About

Jerzy Stefanowski is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Jerzy Stefanowski has authored 65 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 22 papers in Information Systems. Recurrent topics in Jerzy Stefanowski's work include Imbalanced Data Classification Techniques (26 papers), Rough Sets and Fuzzy Logic (23 papers) and Data Mining Algorithms and Applications (20 papers). Jerzy Stefanowski is often cited by papers focused on Imbalanced Data Classification Techniques (26 papers), Rough Sets and Fuzzy Logic (23 papers) and Data Mining Algorithms and Applications (20 papers). Jerzy Stefanowski collaborates with scholars based in Poland, France and United States. Jerzy Stefanowski's co-authors include Dariusz Brzeziński, Leandro L. Minku, Bartosz Krawczyk, Michał Woźniak, João Gama, Krystyna Napierała, Roman Słowiński, Francisco Herrera, Julián Luengo and José A. Sáez and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Sustainability.

In The Last Decade

Jerzy Stefanowski

63 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ensemble learning for data stream analysis: A survey

2017 694 citations Bartosz Krawczyk, Leandro L. Minku et al. Information Fusion profile →
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

2014 471 citations Jerzy Stefanowski et al. profile →
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm

2013 295 citations Dariusz Brzeziński, Jerzy Stefanowski IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jerzy Stefanowski Poland	29	2.8k	717	666	576	434	65	3.7k
María José del Jesús Spain	34	4.5k 1.6×	866 1.2×	1.3k 1.9×	537 0.9×	277 0.6×	108	5.7k
Jesús Alcalá‐Fdez Spain	27	4.3k 1.6×	1.1k 1.6×	1.0k 1.5×	532 0.9×	274 0.6×	72	5.4k
Isaac Triguero Spain	30	2.2k 0.8×	310 0.4×	525 0.8×	363 0.6×	562 1.3×	90	3.5k
Liangxiao Jiang China	31	2.6k 0.9×	456 0.6×	772 1.2×	190 0.3×	214 0.5×	114	3.6k
Leandro L. Minku United Kingdom	30	2.7k 1.0×	207 0.3×	1.1k 1.7×	365 0.6×	375 0.9×	121	4.0k
Yiming Ma China	16	1.8k 0.6×	1.1k 1.6×	2.1k 3.1×	419 0.7×	769 1.8×	53	3.6k
Michał Woźniak Poland	29	3.3k 1.2×	120 0.2×	442 0.7×	641 1.1×	514 1.2×	206	4.6k
Cheng-Lung Huang Taiwan	13	1.4k 0.5×	223 0.3×	342 0.5×	305 0.5×	141 0.3×	21	3.0k
Ala’ M. Al-Zoubi Jordan	23	2.0k 0.7×	447 0.6×	459 0.7×	283 0.5×	256 0.6×	51	3.0k
Dayou Liu China	27	1.3k 0.5×	231 0.3×	382 0.6×	251 0.4×	131 0.3×	173	2.9k

Countries citing papers authored by Jerzy Stefanowski

Since Specialization

Citations

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

Fields of papers citing papers by Jerzy Stefanowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerzy Stefanowski

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Skrzypek, M., et al.. (2025). Developing and Validating a Data-Driven Application for Street-Accessible Urban Bench Analysis and Planning to Support Evidence-Based Decision Making in Age-Friendly, Sustainable Cities. Sustainability. 17(18). 8251–8251.

Brzeziński, Dariusz, et al.. (2024). Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios. ACM Transactions on Knowledge Discovery from Data. 18(7). 1–18. 1 indexed citations

Brzeziński, Dariusz, et al.. (2021). The impact of data difficulty factors on classification of imbalanced and concept drifting data streams. Knowledge and Information Systems. 63(6). 1429–1469. 35 indexed citations

Brzeziński, Dariusz, et al.. (2019). On the Dynamics of Classification Measures for Imbalanced and Streaming Data. IEEE Transactions on Neural Networks and Learning Systems. 31(8). 2868–2878. 36 indexed citations

Lango, Mateusz, Dariusz Brzeziński, & Jerzy Stefanowski. (2018). ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information. 95–109. 2 indexed citations

Brzeziński, Dariusz & Jerzy Stefanowski. (2017). Prequential AUC: properties of the area under the ROC curve for data streams with concept drift. Knowledge and Information Systems. 52(2). 531–562. 84 indexed citations

Krawczyk, Bartosz, Leandro L. Minku, João Gama, Jerzy Stefanowski, & Michał Woźniak. (2017). Ensemble learning for data stream analysis: A survey. Information Fusion. 37. 132–156. 694 indexed citations breakdown →

Brzeziński, Dariusz & Jerzy Stefanowski. (2013). Classifiers for Concept-drifting Data Streams: Evaluating Things That Really Matter. 2 indexed citations

Stefanowski, Jerzy, et al.. (2011). Semi-supervised approach to handle sudden concept drift in Enron data. Control and Cybernetics. 40(3). 667–695. 5 indexed citations

10.

Stefanowski, Jerzy, et al.. (2010). Evaluation of Sentence-Selection Text Summarization Methods on Polish News Articles. Foundations of Computing and Decision Sciences. 27–41. 2 indexed citations

11.

Stefanowski, Jerzy, et al.. (2009). An experimental evaluation of two approaches to mining context based sequential patterns. Control and Cybernetics. 38(1). 27–45. 1 indexed citations

12.

Stefanowski, Jerzy & Dawid Weiss. (2007). Extending k-means with the description comes first approach. Control and Cybernetics. 36(4). 1009–1035. 2 indexed citations

13.

Stefanowski, Jerzy & Szymon Wilk. (2006). Rough Sets for Handling Imbalanced Data: Combining Filtering and Rule-based Classifiers. Fundamenta Informaticae. 72(1). 379–391. 15 indexed citations

14.

Słowiński, Roman, et al.. (2002). Application of Rule Induction and Rough Sets to Verification of Magnetic Resonance Diagnosis. Fundamenta Informaticae. 53(3-4). 345–363. 13 indexed citations

15.

Słowiński, Roman, Jerzy Stefanowski, Salvatore Greco, & Benedetto Matarazzo. (2000). Rough set based processing of inconsistent information in decision analysis. Control and Cybernetics. 29(1). 379–404. 32 indexed citations

16.

Słowiński, Roman, et al.. (1998). Rough set theory and rule induction techniques for discovery of attribute dependencies in experience with multiple injured patients. Bulletin of the Polish Academy of Sciences Technical Sciences. 46(2). 247–263. 2 indexed citations

17.

Stefanowski, Jerzy, et al.. (1997). Feature subset selection for classification of histological images. Artificial Intelligence in Medicine. 9(3). 227–239. 25 indexed citations

18.

Grzymala‐Busse, Jerzy W., Jerzy Stefanowski, & Wojciech Ziarko. (1996). Rough Sets: Facts Versus Misconceptions.. Informatica (slovenia). 20. 5 indexed citations

19.

Słowiński, Roman, et al.. (1992). Rough sets analysis of diagnostic capacity of vibroacoustic symptoms. Computers & Mathematics with Applications. 24(7). 109–123. 16 indexed citations

20.

Słowiński, Roman & Jerzy Stefanowski. (1989). Rough classification in incomplete information systems. Mathematical and Computer Modelling. 12(10-11). 1347–1357. 81 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.

Explore authors with similar magnitude of impact