Koichi Suyama

408 total citations
89 papers, 283 citations indexed

About

Koichi Suyama is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Koichi Suyama has authored 89 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Control and Systems Engineering, 27 papers in Statistics, Probability and Uncertainty and 14 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Koichi Suyama's work include Fault Detection and Control Systems (55 papers), Risk and Safety Analysis (26 papers) and Stability and Control of Uncertain Systems (22 papers). Koichi Suyama is often cited by papers focused on Fault Detection and Control Systems (55 papers), Risk and Safety Analysis (26 papers) and Stability and Control of Uncertain Systems (22 papers). Koichi Suyama collaborates with scholars based in Japan, United States and Indonesia. Koichi Suyama's co-authors include Noboru Sebe, G. Apostolakis, Toshiyuki KITAMORI, Feifei Zhang, Eitaku Nobuyama, Yoshinobu Sato, Takeshi Yamaguchi, Yuko Tanabe, Seiichi Shin and Yuji Miura and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Annals of Oncology.

In The Last Decade

Koichi Suyama

74 papers receiving 274 citations

Peers

Koichi Suyama
Comparison fields: 5 of 36
  • Control and Systems Engineering 235
  • Statistics, Probability and Uncertainty 84
  • Safety, Risk, Reliability and Quality 49
  • Computational Theory and Mathematics 28
  • Numerical Analysis 23
Replace Noboru Sebe with:
Noboru Sebe Japan
M. Hou Germany
A. Edelmayer Hungary
Mufeed Mahmoud Canada
Ivo Punĉochář Czechia
G.L. Torres Brazil
Sebastian Junges Germany
Jesse Holzer United States
Xueqian Wang China
Kemin Zhou United States
Noboru Sebe Japan View profile →
Citations per field, relative to Koichi Suyama
Koichi Suyama · 1×
Citations per year, relative to Koichi Suyama
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Countries citing papers authored by Koichi Suyama

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Suyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Suyama

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Suyama. A scholar is included among the top collaborators of Koichi Suyama 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 Koichi Suyama. Koichi Suyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 3
5 4
6 2
7 8
8
Dynamic fault tree analysis of restorable systems using an idea of extended priority AND gates
2
9 2
10 2
11 0
12 2
13 6
14 4
15 2
16 1
17 0
18 2
19 2
20 1

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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