Ján Plavka

554 citations
46 papers · 370 · h-index 12

Impact in

Papers in

Ján Plavka

41 papers receiving 340 citations

Peers

Ján Plavka
Comparison fields: 5 of 60
  • Computational Theory and Mathematics 254
  • Algebra and Number Theory 41
  • Numerical Analysis 32
  • Health Informatics 6
  • Management Science and Operations Research 50
Replace R.P. Anstee with:
R.P. Anstee Canada
Hadi Kharaghani Canada
R. B. Bapat India
Nabil Kahalé United States
Alexander V. Karzanov Russia
Werner Schachinger Austria
Grigori Litvinov Russia
Aidan Roy Canada
D. de Caen Canada
Andreas Björklund Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Ján Plavka

Since Specialization
Citations

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

Fields of papers citing papers by Ján Plavka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Ján Plavka, 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 Ján Plavka Line = papers co-authored together Ján Plavka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202145
2 200439
3 199625
4
MONOTONE INTERVAL EIGENPROBLEM IN MAX-MIN ALGEBRA
201018
5 201618
6 200317
7 201016
8 201114
9 201313
10 201313
11 200113
12 200513
13 201311
14
On the weak robustness of fuzzy matrices
201310
15 20149
16 20039
17 20138
18 19947
19 20187
20 19896

About Ján Plavka

Ján Plavka is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Algebra and Number Theory and Electrical and Electronic Engineering, having authored 46 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (16 papers), Polynomial and algebraic computation (12 papers), Formal Methods in Verification (12 papers), Numerical Methods and Algorithms (11 papers), Matrix Theory and Algorithms (10 papers), Fuzzy Logic and Control Systems (9 papers), Multi-Criteria Decision Making (8 papers) and graph theory and CDMA systems (5 papers). The work is most often cited by research in Computational Theory and Mathematics (254 citations), Algebra and Number Theory (41 citations), Numerical Analysis (32 citations), Health Informatics (6 citations) and Management Science and Operations Research (50 citations). Ján Plavka has collaborated with scholars based in Slovakia, Czechia and United Kingdom. Frequent co-authors include Martin Gavalec, Kataŕına Cechlárová, Matej Gazda, Peter Drotár, Jakub Gazda, Péter Szabó, Sergeĭ Sergeev, Jozef Džurina, Hana Tomášková and Ming‐Chya Wu. Their work appears in journals such as Linear Algebra and its Applications, Discrete Applied Mathematics, Fuzzy Sets and Systems, Optimization and Kybernetika.

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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