Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Triangular Norms
20001.2k citationsErich Peter Klement, Radko Mesiar et al.CERN Document Server (European Organization for Nuclear Research)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Erich Peter Klement
Since
Specialization
Citations
This map shows the geographic impact of Erich Peter Klement'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 Erich Peter Klement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erich Peter Klement more than expected).
Fields of papers citing papers by Erich Peter Klement
This network shows the impact of papers produced by Erich Peter Klement. 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 Erich Peter Klement. The network helps show where Erich Peter Klement may publish in the future.
Co-authorship network of co-authors of Erich Peter Klement
This figure shows the co-authorship network connecting the top 25 collaborators of Erich Peter Klement.
A scholar is included among the top collaborators of Erich Peter Klement 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 Erich Peter Klement. Erich Peter Klement is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Klement, Erich Peter, Anna Kolesárová, Radko Mesiar, & Andrea Stupňanová. (2009). Universal Integrals Based on Level Dependent Capacities. European Society for Fuzzy Logic and Technology Conference. 114–118.3 indexed citations
9.
Durante, Fabrizio, Erich Peter Klement, José Juan Quesada-Molina, & Peter Sarkoci. (2007). Remarks on Two Product-like Constructions for Copulas. Kybernetika. 43(2). 235–244.27 indexed citations
10.
Klement, Erich Peter, Radko Mesiar, & Endre Pap. (2007). A universal integral. European Society for Fuzzy Logic and Technology Conference. 253–256.9 indexed citations
11.
Klement, Erich Peter & Radko Mesiar. (2006). How non-symmetric can a copula be?. Commentationes Mathematicae Universitatis Carolinae. 47(1). 141–148.37 indexed citations
12.
Klement, Erich Peter, Radko Mesiar, & Endre Pap. (2005). TRANSFORMATIONS OF COPULAS. Kybernetika. 41(4). 425–434.42 indexed citations
13.
Kolesárová, Anna & Erich Peter Klement. (2005). On affine sections of 1-Lipschitz aggregation operators.. European Society for Fuzzy Logic and Technology Conference. 1293–1296.3 indexed citations
14.
Klement, Erich Peter & Anna Kolesárová. (2005). EXTENSION TO COPULAS AND QUASI-COPULAS AS SPECIAL 1-LIPSCHITZ AGGREGATION OPERATORS. Kybernetika. 41(3). 329–348.53 indexed citations
15.
Lughofer, Edwin, Eyke Hüllermeier, & Erich Peter Klement. (2005). Improving the Interpretability of Data-Driven Evolving Fuzzy-Systems. European Society for Fuzzy Logic and Technology Conference. 28–33.18 indexed citations
16.
Saminger‐Platz, Susanne, Erich Peter Klement, & Radko Mesiar. (2005). A note on ordinal sums of t-norms on bounded lattices. European Society for Fuzzy Logic and Technology Conference. 385–388.1 indexed citations
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.