Jarosław Stepaniuk

38 papers receiving 1.1k citations

Hit Papers

TOLERANCE APPROXIMATION SPACES19962026200620161996100200300400500

Peers

Jarosław Stepaniuk
Comparison fields: 5 of 60
  • Computational Theory and Mathematics 1.1k
  • Artificial Intelligence 520
  • Information Systems 464
  • Management Science and Operations Research 220
  • Computer Vision and Pattern Recognition 162
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Citations per field
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Citations per year

Countries citing papers authored by Jarosław Stepaniuk

Since Specialization
Citations

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

Fields of papers citing papers by Jarosław Stepaniuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarosław Stepaniuk

This figure shows the co-authorship network connecting the top 25 collaborators of Jarosław Stepaniuk. A scholar is included among the top collaborators of Jarosław Stepaniuk 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 Jarosław Stepaniuk. Jarosław Stepaniuk 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
#WorkIndexed citations
1 8
2 3
3 8
4
Nearness of Objects. Approximation Space Model Revisited.
0
5 97
6
Relational Data and Rough Sets
2
7 3
8 32
9
Calculi of Approximation Spaces
20
10
Modelling Complex Patterns by Information Systems
6
11
Rough sets and infomorphisms: towards approximation of relations in distributed environments
14
12 10
13 1
14
Information Granule Decomposition
7
15 2
16 118
17
Knowledge discovery by application of rough set models
0
18
[Application of the rough set theory in the prognostication of the diabetic nephropathy prevalence. Preliminary communication].
1
19 9
20 17

About Jarosław Stepaniuk

Jarosław Stepaniuk is a scholar working on Computational Theory and Mathematics, Information Systems and Signal Processing, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (36 papers), Data Mining Algorithms and Applications (17 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Information Systems (464 citations) and Management Science and Operations Research (220 citations). Jarosław Stepaniuk has collaborated with scholars based in Poland, Canada and United States. Frequent co-authors include Andrzej Skowron, Roman W. Świniarski, James F. Peters, Hung Son Nguyen, Sheela Ramanna, Jan G. Bazan, Andrzej Jankowski, Stéphane Demri, Marcin Szczuka and Zbigniew Suraj. Their work appears in journals such as Information Sciences, Applied Soft Computing and International Journal of Approximate Reasoning.

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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