Noboru Sebe

439 citations
88 papers · 296 indexed · h-index 9

Impact in

Papers in

Noboru Sebe

74 papers receiving 288 citations

Peers

Noboru Sebe
Comparison fields: 5 of 29
  • Control and Systems Engineering 260
  • Statistics, Probability and Uncertainty 41
  • Medical Laboratory Technology 4
  • Computational Theory and Mathematics 32
  • Safety, Risk, Reliability and Quality 14
Replace Kemin Zhou with:
Kemin Zhou United States
A. Edelmayer Hungary
Xueqian Wang China
Koichi Suyama Japan
M. Hou Germany
Jean‐François Magni France
A. Ramakrishna India
Tatiane C. C. Fernandes Brazil
Laurens Van Eykeren Netherlands
M.P. Newlin United States
Noboru Sebe relative to Kemin Zhou United States Kemin Zhou's profile →
Citations per field
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Kemin Zhou · 1×
Citations per year

Countries citing papers authored by Noboru Sebe

Since Specialization
Citations

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

Fields of papers citing papers by Noboru Sebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Noboru Sebe, 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 Noboru Sebe Line = papers co-authored together Noboru Sebe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 20242
5 20232
6 20220
7 20221
8 20221
9
Minimal order observer based H ∞ controller design based on overbounding approximation method
20191
10 20181
11 20108
12 20082
13
20061
14 20000
15 20006
16 199810
17
Reliable Control and Frobenius Norm Optimization
19971
18 19962
19 19920
20 19881

About Noboru Sebe

Noboru Sebe is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Numerical Analysis and Medical Laboratory Technology, having authored 88 papers that have together received 296 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (45 papers), Stability and Control of Uncertain Systems (43 papers), Control Systems and Identification (31 papers), Advanced Control Systems Optimization (19 papers), Adaptive Control of Nonlinear Systems (14 papers), Matrix Theory and Algorithms (13 papers), Risk and Safety Analysis (8 papers) and Advanced Control Systems Design (4 papers). The work is most often cited by research in Control and Systems Engineering (260 citations), Statistics, Probability and Uncertainty (41 citations), Medical Laboratory Technology (4 citations), Computational Theory and Mathematics (32 citations) and Safety, Risk, Reliability and Quality (14 citations). Noboru Sebe has collaborated with scholars based in Japan, France and Indonesia. Frequent co-authors include Koichi Suyama, Y. Hamada, Hayato Waki, S. Shin, Seiichi Shin, Masaki Inoue, Toshiyuki KITAMORI, K. Hara, Masayuki Sato and Yoshio Ebihara. Their work appears in journals such as Automatica, Asian Journal of Control, International Journal of Robust and Nonlinear Control, International Journal of Control and IFAC-PapersOnLine.

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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