Peter Sarkoci

560 citations
27 papers · 442 · h-index 11

Impact in

Papers in

Peter Sarkoci

25 papers receiving 407 citations

Peers

Peter Sarkoci
Comparison fields: 5 of 47
  • Management Science and Operations Research 229
  • Statistics and Probability 145
  • Finance 151
  • Computational Theory and Mathematics 167
  • Numerical Analysis 26
Replace Vladimir Rotar with:
Vladimir Rotar Russia
Maurice Frank Guatemala
José Juan Quesada-Molina Spain
H. C. P. Berbee United States
Andrea Stupňanová Slovakia
Yu Miao China
Gregory A. Fredricks United States
Pier Luigi Papini Italy
Alfredas Račkauskas Lithuania
A. Maitra United States
Peter Sarkoci relative to Vladimir Rotar Russia Vladimir Rotar's profile →
Citations per field
00.5×4.8×
Vladimir Rotar · 1×
Citations per year

Countries citing papers authored by Peter Sarkoci

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sarkoci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Peter Sarkoci, 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 Peter Sarkoci Line = papers co-authored together Peter Sarkoci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200784
2 200959
3 200839
4 201037
5
Remarks on Two Product-like Constructions for Copulas
200733
6
Domination in the families of Frank and Hamacher t-norms
200532
7 200825
8 200823
9 200820
10 201420
11 201211
12 201010
13 200610
14
Open problems posed at the tenth International conference on fuzzy set theory and applications (FSTA 2010, Liptovský Ján, Slovakia)
20109
15 20149
16 20095
17
Dominance of Ordinal Sums of TL and TP.
20072
18 20102
19 20142
20 20182

About Peter Sarkoci

Peter Sarkoci is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability, Finance and Algebra and Number Theory, having authored 27 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (14 papers), Rough Sets and Fuzzy Logic (11 papers), Fuzzy and Soft Set Theory (9 papers), Multi-Criteria Decision Making (8 papers), Financial Risk and Volatility Modeling (5 papers), Stochastic processes and financial applications (4 papers), Fuzzy Systems and Optimization (4 papers) and Functional Equations Stability Results (3 papers). The work is most often cited by research in Management Science and Operations Research (229 citations), Statistics and Probability (145 citations), Finance (151 citations), Computational Theory and Mathematics (167 citations) and Numerical Analysis (26 citations). Peter Sarkoci has collaborated with scholars based in Austria, Slovakia and Czechia. Frequent co-authors include Fabrizio Durante, Susanne Saminger‐Platz, Carlo Sempi, José Juan Quesada-Molina, Erich Peter Klement, Karol Mikula, Radko Mesiar, Daniel Ševčovič, Mirko Navara and Bernard De Baets. Their work appears in journals such as Fuzzy Sets and Systems, Kybernetika, Journal of Mathematical Analysis and Applications, SIAM Journal on Scientific Computing and Information Sciences.

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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