Ronald R. Yager

802 papers receiving 52.7k citations

Hit Papers

On ordered weighted averaging aggregation operators in mu...19782026199420101988201320062013201610002.0k3.0k4.0k5.0k

Peers

Ronald R. Yager
Comparison fields: 5 of 218
  • Management Science and Operations Research 36.8k
  • Artificial Intelligence 19.7k
  • Control and Systems Engineering 14.7k
  • Statistics and Probability 13.8k
  • Computational Theory and Mathematics 13.4k
Replace Zeshui Xu with:
Zeshui Xu China
Lotfi A. Zadeh United States
L. A. Zadeh United States
Francisco Herrera Spain
Witold Pedrycz Canada
Enrique Herrera‐Viedma Spain
Shyi‐Ming Chen Taiwan
Krassimir Atanassov Bulgaria
Luis Martı́nez Spain
Пэйдэ Лю China
Ronald R. Yager relative to Zeshui Xu China Zeshui Xu's profile →
Citations per field
00.5×1.5×
Zeshui Xu · 1×
Citations per year

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).

Fields of papers citing papers by Ronald R. Yager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 8
3 6
4 10
5 50
6 5
7 3
8 4
9 99
10 17
11 6
12 5
13 3
14 204
15 44
16
Intelligent Agents on the World Wide Web.
4
17
Atomic Transactions: In Concurrent and Distributed Systems
11
18
A mathematical programming approach to inference with the capability to implement default rules
4
19
Fuzzy sets and applications : selected papers
292
20
Management decision support systems using fuzzy sets and possibility theory
116

About Ronald R. Yager

Ronald R. Yager is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 825 papers that have together received 55.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (523 papers), Fuzzy Systems and Optimization (225 papers) and Rough Sets and Fuzzy Logic (221 papers). The work is most often cited by research in Management Science and Operations Research (36.8k citations), Statistics and Probability (13.8k citations) and Computational Theory and Mathematics (13.4k citations). Ronald R. Yager has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Dimitar Filev, Zeshui Xu, Tapan Senapati, Janusz Kacprzyk, Alexander Rybalov, Ali M. Abbasov, Lotfi A. Zadeh, Naif Alajlan, José M. Merigó and Radko Mesiar. Their work appears in journals such as Journal of Consumer Research, European Journal of Operational Research and Computers in Human Behavior.

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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