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.
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
Countries citing papers authored by Ronald R. Yager
Since
Specialization
Citations
This map shows the geographic impact of Ronald R. Yager'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 Ronald R. Yager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald R. Yager more than expected).
This network shows the impact of papers produced by Ronald R. Yager. 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 Ronald R. Yager. The network helps show where Ronald R. Yager may publish in the future.
Co-authorship network of co-authors of Ronald R. Yager
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald R. Yager.
A scholar is included among the top collaborators of Ronald R. Yager 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 Ronald R. Yager. Ronald R. Yager is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dempster, Arthur P., Ronald R. Yager, & Liping Liu. (2007). Classic Works on the Dempster-Shafer Theory of Belief Functions (Studies in Fuzziness and Soft Computing). Springer eBooks.31 indexed citations
9.
Yager, Ronald R. & Luigi Troiano. (2005). On some properties of mixing OWA operators with t-norms and t-conorms.. European Society for Fuzzy Logic and Technology Conference. 1206–1212.2 indexed citations
10.
Pasi, Gabriella & Ronald R. Yager. (2003). Modeling the Concept of Fuzzy Majority.. 143–150.1 indexed citations
Yager, Ronald R.. (2001). A General Approach to Uncertainty Representation Using Fuzzy Measures. The Florida AI Research Society. 619–623.3 indexed citations
13.
Yager, Ronald R.. (2001). Characterizing Fuzzy Measures Used in Uncertainty Representation.. 379–383.1 indexed citations
14.
Kacprzyk, Janusz, Ronald R. Yager, & Sławomir Zadrożny. (2000). A Fuzzy Logic Based Approach to Linguistic Summaries of Databases. International Journal of Applied Mathematics and Computer Science. 10(4). 813–834.111 indexed citations
15.
Yager, Ronald R., et al.. (1996). Summary SQL: a flexible fuzzy query language. 1–18.1 indexed citations
Saitta, Lorenza, et al.. (1988). Uncertainty and intelligent systems : 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU '88, Urbino, Italy, July 4-7, 1988 : proceedings. Springer eBooks.1 indexed citations
20.
Yager, Ronald R., Sergeĭ Ovchinnikov, Richard M. Tong, & Hung T. Nguyen. (1987). Fuzzy sets and applications. Wiley-Interscience eBooks.285 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.