S. Ōmatu
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Co-authors
- Raveendran ParamesranRamaswamy PalaniappanTatsuro KOSAKAT. YoshidaToru YamamotoTomoyuki OtaYoshikazu SAWARAGIYutaka Tomita
- Topics
- Advanced Control Systems Optimization (8 papers)Neural Networks and Applications (8 papers)Advanced Control Systems Design (5 papers)
In The Last Decade
S. Ōmatu
33 papers receiving 350 citations
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 225
- Artificial Intelligence 126
- Computer Vision and Pattern Recognition 49
- Electrical and Electronic Engineering 37
- Cognitive Neuroscience 37
Countries citing papers authored by S. Ōmatu
This map shows the geographic impact of S. Ōmatu'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 S. Ōmatu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Ōmatu more than expected).
Fields of papers citing papers by S. Ōmatu
This network shows the impact of papers produced by S. Ōmatu. 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 S. Ōmatu. The network helps show where S. Ōmatu may publish in the future.
Co-authorship network of co-authors of S. Ōmatu
This figure shows the co-authorship network connecting the top 25 collaborators of S. Ōmatu. A scholar is included among the top collaborators of S. Ōmatu 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 S. Ōmatu. S. Ōmatu 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 | Process Throughput Analysis for Manufacturing Process under Incomplete Information Based on Physical Approach | 6 |
| 3 | Effect examination on reply properties by a Metal Oxide Semiconductor Gas Sensor and the Closed Loop Control | 1 |
| 4 | Improving Throughput by Considering the Production Process | 5 |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 39 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 19 | |
| 14 | 6 | |
| 15 | 0 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 60 | |
| 19 | 25 | |
| 20 | 5 |
About S. Ōmatu
S. Ōmatu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 41 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (8 papers), Neural Networks and Applications (8 papers) and Advanced Control Systems Design (5 papers). The work is most often cited by research in Control and Systems Engineering (225 citations), Artificial Intelligence (126 citations) and Signal Processing (32 citations). S. Ōmatu has collaborated with scholars based in Japan and Malaysia. Frequent co-authors include Raveendran Paramesran, Ramaswamy Palaniappan, Tatsuro KOSAKA, T. Yoshida, Toru Yamamoto, Tomoyuki Ota, Yoshikazu SAWARAGI, Yutaka Tomita, Masahiro Kaneda and Akira Kikuchi. Their work appears in journals such as IEEE Transactions on Automatic Control, Information Sciences and International Journal of Control.
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.