Hidetoshi Oya

445 citations
94 papers · 318 · h-index 8

Impact in

Papers in

Hidetoshi Oya

83 papers receiving 303 citations

Peers

Hidetoshi Oya
Comparison fields: 5 of 40
  • Control and Systems Engineering 217
  • Computer Networks and Communications 52
  • Astronomy and Astrophysics 35
  • Cardiology and Cardiovascular Medicine 34
  • Computational Theory and Mathematics 19
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Citations per year

Countries citing papers authored by Hidetoshi Oya

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Oya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Hidetoshi Oya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hidetoshi Oya Line = papers co-authored together Hidetoshi Oya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199135
2
Robust control with adaptive compensation input for linear uncertain systems
200329
3 200714
4 201213
5 20149
6 20059
7
Adaptive Robust Control Scheme for Linear Systems with Structured Uncertainties
20048
8
Trajectory-based design of robust stabilizing controllers for polytopic uncertain systems
20097
9 20217
10 20147
11 20156
12 20056
13 20146
14 20186
15 20176
16 20235
17 20185
18 20195
19
Observer-Based Robust Control Giving Consideration to Transient Behavior for Linear Uncertain Systems
20034
20 20124

About Hidetoshi Oya

Hidetoshi Oya is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Aerospace Engineering, having authored 94 papers that have together received 318 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (57 papers), Adaptive Control of Nonlinear Systems (39 papers), Control Systems and Identification (12 papers), ECG Monitoring and Analysis (12 papers), Control and Stability of Dynamical Systems (11 papers), Neural Networks Stability and Synchronization (11 papers), Advanced Control Systems Optimization (10 papers) and Matrix Theory and Algorithms (8 papers). The work is most often cited by research in Control and Systems Engineering (217 citations), Computer Networks and Communications (52 citations), Astronomy and Astrophysics (35 citations), Cardiology and Cardiovascular Medicine (34 citations) and Computational Theory and Mathematics (19 citations). Hidetoshi Oya has collaborated with scholars based in Japan, Kenya and Germany. Frequent co-authors include K. Tsuruda, K. Hagino, Kazushi Nakano, Hiroaki Mukaidani, Hiroshi Miyauchi, Yoshihiro Yamaguchi, Kouichi Hagino, Shun Ito, Hiroki Wada and T. Kubo. Their work appears in journals such as Journal of Control Science and Engineering, International Journal of Systems Science, International Journal of Control, Geophysical Research Letters and Computers in Biology and Medicine.

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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