Yasuo Narukawa

145 total papers · 3.7k total citations
82 papers, 2.5k citations indexed

About

Yasuo Narukawa is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Yasuo Narukawa has authored 82 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Management Science and Operations Research, 26 papers in Statistics and Probability and 14 papers in Artificial Intelligence. Recurrent topics in Yasuo Narukawa's work include Multi-Criteria Decision Making (39 papers), Fuzzy Systems and Optimization (25 papers) and Rough Sets and Fuzzy Logic (9 papers). Yasuo Narukawa is often cited by papers focused on Multi-Criteria Decision Making (39 papers), Fuzzy Systems and Optimization (25 papers) and Rough Sets and Fuzzy Logic (9 papers). Yasuo Narukawa collaborates with scholars based in Spain, Japan and Sweden. Yasuo Narukawa's co-authors include Vicenç Torra, Michio Sugeno, Toshiaki Murofushi, Michio Sugeno, Sadaaki Miyamoto, Masaki Takahashi, Katsumi Yoshida, K. Yoshida, Michael Carlson and Masahiro Inuiguchi and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Yasuo Narukawa

79 papers receiving 2.4k citations

Hit Papers

On hesitant fuzzy sets an... 2009 2026 2014 2020 2009 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yasuo Narukawa 1.9k 851 740 657 576 82 2.5k
Dug Hun Hong 2.1k 1.1× 1.2k 1.4× 934 1.3× 706 1.1× 431 0.7× 101 2.8k
Hans-Jürgen Zimmermann 1.4k 0.7× 596 0.7× 985 1.3× 647 1.0× 481 0.8× 35 3.1k
Glad Deschrijver 2.3k 1.2× 880 1.0× 1.3k 1.7× 528 0.8× 1.2k 2.1× 59 2.8k
Jean‐Luc Marichal 2.9k 1.5× 1.5k 1.7× 1.1k 1.5× 785 1.2× 1.1k 1.9× 98 4.0k
Tabasam Rashid 1.6k 0.8× 361 0.4× 607 0.8× 547 0.8× 601 1.0× 124 2.5k
Wen‐Liang Hung 1.8k 0.9× 1.1k 1.3× 1.2k 1.6× 429 0.7× 628 1.1× 77 2.6k
Tomasa Calvo 1.8k 0.9× 957 1.1× 729 1.0× 416 0.6× 857 1.5× 80 2.3k
Toshiaki Murofushi 1.2k 0.6× 798 0.9× 572 0.8× 347 0.5× 398 0.7× 55 1.9k
Marc Roubens 3.1k 1.6× 1.1k 1.3× 1.6k 2.1× 761 1.2× 1.4k 2.4× 66 4.3k
Gustave Choquet 1.7k 0.9× 951 1.1× 770 1.0× 420 0.6× 675 1.2× 46 3.1k

Countries citing papers authored by Yasuo Narukawa

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Narukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Narukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Narukawa. A scholar is included among the top collaborators of Yasuo Narukawa 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 Yasuo Narukawa. Yasuo Narukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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