Masatake Nagai

65 total papers · 1.2k total citations
48 papers, 934 citations indexed

About

Masatake Nagai is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Masatake Nagai has authored 48 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Management Science and Operations Research, 7 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Masatake Nagai's work include Grey System Theory Applications (37 papers), Multi-Criteria Decision Making (11 papers) and Rough Sets and Fuzzy Logic (7 papers). Masatake Nagai is often cited by papers focused on Grey System Theory Applications (37 papers), Multi-Criteria Decision Making (11 papers) and Rough Sets and Fuzzy Logic (7 papers). Masatake Nagai collaborates with scholars based in Japan, Taiwan and China. Masatake Nagai's co-authors include Guodong Li, Daisuke Yamaguchi, Daisuke Yamaguchi, Shiro Masuda, Guodong Li, Chenhong Wang, Tian-Wei Sheu, Guodong Li, Phụng Anh Nguyễn and Guodong Li and has published in prestigious journals such as Energy, Information Sciences and Technological Forecasting and Social Change.

In The Last Decade

Masatake Nagai

46 papers receiving 884 citations

Author Peers

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

Author Last Decade Papers Cites
Masatake Nagai 669 177 145 119 102 48 934
Xian‐Jia Wang 457 0.7× 185 1.0× 135 0.9× 85 0.7× 155 1.5× 34 1.2k
Peiwu Dong 449 0.7× 253 1.4× 141 1.0× 95 0.8× 169 1.7× 59 1.2k
Melike Erdoğan 578 0.9× 181 1.0× 75 0.5× 134 1.1× 82 0.8× 46 1.0k
Wenjing Shen 377 0.6× 239 1.4× 255 1.8× 219 1.8× 122 1.2× 58 1.2k
Jalil Heidary Dahooie 565 0.8× 242 1.4× 57 0.4× 109 0.9× 174 1.7× 55 1.1k
Adiel Teixeira de Almeida Filho 487 0.7× 135 0.8× 54 0.4× 148 1.2× 157 1.5× 60 1.0k
Kejun Zhu 342 0.5× 100 0.6× 136 0.9× 197 1.7× 148 1.5× 42 1.1k
Sajid Siraj 357 0.5× 76 0.4× 136 0.9× 109 0.9× 118 1.2× 33 827
Bartłomiej Kizielewicz 624 0.9× 131 0.7× 73 0.5× 188 1.6× 156 1.5× 56 1.1k
Akbar Esfahanipour 535 0.8× 125 0.7× 114 0.8× 156 1.3× 147 1.4× 51 1.1k

Countries citing papers authored by Masatake Nagai

Since Specialization
Citations

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

Fields of papers citing papers by Masatake Nagai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatake Nagai

This figure shows the co-authorship network connecting the top 25 collaborators of Masatake Nagai. A scholar is included among the top collaborators of Masatake Nagai 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 Masatake Nagai. Masatake Nagai 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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2026