Motohide Umano
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Itsuo HatonoHiroyuki TamuraSatoru FukamiMarimin MariminM. MizumotoKokichi TanakaIsao HayashiKazuhisa Seta
- Topics
- Fuzzy Logic and Control Systems (24 papers)Multi-Criteria Decision Making (19 papers)Data Management and Algorithms (11 papers)
In The Last Decade
Motohide Umano
62 papers receiving 487 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 232
- Management Science and Operations Research 169
- Signal Processing 140
- Computer Networks and Communications 102
- Control and Systems Engineering 87
Countries citing papers authored by Motohide Umano
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).
Fields of papers citing papers by Motohide Umano
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.
Co-authorship network of co-authors of Motohide Umano
This figure shows the co-authorship network connecting the top 25 collaborators of Motohide Umano. A scholar is included among the top collaborators of Motohide Umano 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 Motohide Umano. Motohide Umano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Verbal Expression of Time Series with Global Trend and Local Features | 3 |
| 4 | An ontology based reflection support system to encourage learning from mistakes | 1 |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | Cooperative scheduling protocol and dispatching algorithm taking account of emergency jobs for distributed real-time scheduling | 2 |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | IMPLEMENTATION OF BACKWARD FUZZY REASONING IN FUZZY PRODUCTION SYSTEM | 3 |
| 17 | Implementation of Fuzzy Production System | 4 |
| 18 | 13 | |
| 19 | A system for fuzzy reasoning | 3 |
| 20 | Implementation of a fuzzy-set theoretic data structure system (abstract) | 2 |
About Motohide Umano
Motohide Umano is a scholar working on Management Science and Operations Research, Signal Processing and Artificial Intelligence, having authored 70 papers that have together received 534 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (24 papers), Multi-Criteria Decision Making (19 papers) and Data Management and Algorithms (11 papers). The work is most often cited by research in Management Science and Operations Research (169 citations), Signal Processing (140 citations) and Artificial Intelligence (232 citations). Motohide Umano has collaborated with scholars based in Japan, Indonesia and Australia. Frequent co-authors include Itsuo Hatono, Hiroyuki Tamura, Satoru Fukami, Marimin Marimin, M. Mizumoto, Kokichi Tanaka, Isao Hayashi, Kazuhisa Seta, Lokesh Jain and Takao Maeda. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy Systems.
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.