Jan Rabčan

44 papers receiving 360 citations

Peers

Jan Rabčan
Comparison fields: 5 of 106
  • Software 28
  • Statistics, Probability and Uncertainty 42
  • Safety, Risk, Reliability and Quality 41
  • Cognitive Neuroscience 56
  • Health Information Management 13
Replace Miroslav Kvaššay with:
Miroslav Kvaššay Slovakia
Yue Xu China
Lilly Spirkovska United States
Laura Humphrey United States
Kouamana Bousson Portugal
Jasmeet Chhabra United States
Mark van der Wilk United Kingdom
Rowan McAllister United States
Richard Cheng United States
Jan Rabčan relative to Miroslav Kvaššay Slovakia Miroslav Kvaššay's profile →
Citations per field
00.5×1.5×
Miroslav Kvaššay · 1×
Citations per year

Countries citing papers authored by Jan Rabčan

Since Specialization
Citations

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

Fields of papers citing papers by Jan Rabčan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jan Rabčan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Rabčan Line = papers co-authored together Jan Rabčan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201940
2 202035
3 201934
4 202133
5 202224
6 202021
7 202315
8 202314
9 202013
10 201912
11 202111
12 202011
13
Electroencephalogram Signals Classification by Ordered Fuzzy Decision Tree.
20179
14 20188
15 20197
16 20177
17 20186
18 20196
19 20176
20 20175

About Jan Rabčan

Jan Rabčan is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 49 papers that have together received 377 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (7 papers), Neural Networks and Applications (6 papers), Reliability and Maintenance Optimization (6 papers), Software Reliability and Analysis Research (6 papers), EEG and Brain-Computer Interfaces (5 papers), Engineering Diagnostics and Reliability (5 papers), Risk and Safety Analysis (4 papers) and Advanced Data Processing Techniques (4 papers). The work is most often cited by research in Software (28 citations), Statistics, Probability and Uncertainty (42 citations), Safety, Risk, Reliability and Quality (41 citations), Cognitive Neuroscience (56 citations) and Health Information Management (13 citations). Jan Rabčan has collaborated with scholars based in Slovakia, Ukraine and Kazakhstan. Frequent co-authors include Elena Zaitseva, Vitaly Levashenko, Miroslav Kvaššay, С. А. Субботин, Igor Lukyanchuk, Stephen Tricklebank, Arunjit Takhar, Radomir S. Stanković, Duncan Wyncoll and Sergey Stankevich. Their work appears in journals such as Reliability Engineering & System Safety, IEEE Transactions on Industrial Informatics, IEEE Access, Applied Soft Computing and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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