Motohide Umano

43 papers and 337 indexed citations i.

About

Motohide Umano is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Motohide Umano has authored 43 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 9 papers in Computational Theory and Mathematics. Recurrent topics in Motohide Umano’s work include Multi-Criteria Decision Making (11 papers), Fuzzy Logic and Control Systems (10 papers) and Data Management and Algorithms (7 papers). Motohide Umano is often cited by papers focused on Multi-Criteria Decision Making (11 papers), Fuzzy Logic and Control Systems (10 papers) and Data Management and Algorithms (7 papers). Motohide Umano collaborates with scholars based in Japan, Indonesia and United States. Motohide Umano's co-authors include Itsuo Hatono, Hiroyuki Tamura, Satoru Fukami, Marimin Marimin, M. Mizumoto, Kokichi Tanaka, Isao Hayashi, Hiroyuki Furuta, N. Shiraishi and Kazuhisa Seta and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of Motohide Umano i

Fields of papers citing papers by Motohide Umano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Motohide Umano

Since Specialization
Citations

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

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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