Henryk Rybiński

1.1k citations
35 papers · 258 indexed · h-index 10
Topics
Semantic Web and Ontologies (8 papers)Rough Sets and Fuzzy Logic (7 papers)Topic Modeling (5 papers)
Partner nations
PolandIndiaChina

In The Last Decade

Henryk Rybiński

29 papers receiving 236 citations

Peers

Henryk Rybiński
Comparison fields: 5 of 70
  • Artificial Intelligence 119
  • Information Systems 86
  • Computational Theory and Mathematics 54
  • Management Science and Operations Research 46
  • Signal Processing 45
Replace Miroslav Hudec with:
Miroslav Hudec Slovakia
Laurence Cholvy France
Silviu Maniu France
Linhao Luo Australia
Majid Vafaei Jahan Iran
Silvia Calegari Italy
Anshu Jain India
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Cheng-Hsiung Weng Taiwan
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Henryk Rybiński relative to Miroslav Hudec Slovakia Miroslav Hudec's profile →
Citations per field
00.5×2.6×
Miroslav Hudec · 1×
Citations per year

Countries citing papers authored by Henryk Rybiński

Since Specialization
Citations

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

Fields of papers citing papers by Henryk Rybiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henryk Rybiński

This figure shows the co-authorship network connecting the top 25 collaborators of Henryk Rybiński. A scholar is included among the top collaborators of Henryk Rybiński 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 Henryk Rybiński. Henryk Rybiński 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 0
2 0
3 6
4 0
5 9
6 8
7 5
8
Pattern Recognition and Machine Intelligence : 6th International Conference, PReMI 2015, Warsaw, Poland, June 30 - July 3, 2015, Proceedings
3
9 21
10
OMEGA-PSIR – A solution for implementing university research knowledge base
2
11 13
12 16
13 17
14
Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
7
15 6
16 1
17 1
18 2
19 0
20 12

About Henryk Rybiński

Henryk Rybiński is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing, having authored 35 papers that have together received 258 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Rough Sets and Fuzzy Logic (7 papers) and Topic Modeling (5 papers). The work is most often cited by research in Signal Processing (45 citations), Information Systems (86 citations) and Artificial Intelligence (119 citations). Henryk Rybiński has collaborated with scholars based in Poland, India and China. Frequent co-authors include Marzena Kryszkiewicz, Marek Kozłowski, Marek Niezgódka, Sankar K. Pal, Sanghamitra Bandyopadhyay, Andrzej Skowron, James F. Peters, Robert Krajewski, W. Sitek and Sanghamitra Bandyopadhyay. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Processing & Management.

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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