Kodo Ito

41 papers receiving 296 citations

Peers

Kodo Ito
Comparison fields: 5 of 70
  • Software 114
  • Safety, Risk, Reliability and Quality 189
  • Statistics and Probability 85
  • Statistics, Probability and Uncertainty 67
  • Computer Graphics and Computer-Aided Design 27
Replace Yeong-Han Chun with:
Yeong-Han Chun South Korea
Songlin Zheng China
Amir Abiri‐Jahromi Iran
José Silva Portugal
P.V.N. Prasad India
K. Zajkowski Poland
Dabo Zhang China
Michelle Tripp United States
Marek Pavlík Slovakia
Yuwei Shang China
Kodo Ito relative to Yeong-Han Chun South Korea Yeong-Han Chun's profile →
Citations per field
00.5×4.5×
Yeong-Han Chun · 1×
Citations per year

Countries citing papers authored by Kodo Ito

Since Specialization
Citations

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

Fields of papers citing papers by Kodo Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kodo Ito, 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 Kodo Ito Line = papers co-authored together Kodo Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200062
2 201727
3 199227
4 200526
5 199225
6 199522
7 200319
8 199019
9 199516
10 199510
11 20038
12 20207
13 20087
14
Robust Control Performance Comparison on Water Hydraulic Servo Motor System
20086
15 20136
16 20035
17 20214
18 19764
19 20064
20
Statistical characteristics of 750-Hz band ELF emissions observed at Syowa Station
19863

About Kodo Ito

Kodo Ito is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering and Civil and Structural Engineering, having authored 51 papers that have together received 343 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (19 papers), Hydraulic and Pneumatic Systems (8 papers), Statistical Distribution Estimation and Applications (6 papers), Risk and Safety Analysis (5 papers), Software Reliability and Analysis Research (5 papers), Probabilistic and Robust Engineering Design (4 papers), Advanced Sensor and Control Systems (3 papers) and Water Systems and Optimization (3 papers). The work is most often cited by research in Software (114 citations), Safety, Risk, Reliability and Quality (189 citations), Statistics and Probability (85 citations), Statistics, Probability and Uncertainty (67 citations) and Computer Graphics and Computer-Aided Design (27 citations). Kodo Ito has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Toshio Nakagawa, Masako Niwa, Sueo Kawabata, Xufeng Zhao, Toshiro Noritsugu, Satoshi Mizutani, Kazuhisa Ito, Toshio Nakagawa, Natsuo Sato and Tianyang Shen. Their work appears in journals such as Mathematical and Computer Modelling, Computers & Mathematics with Applications, Journal of Quality in Maintenance Engineering, Drug Information Journal and Advances in experimental medicine and biology.

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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