Keiichi SAITO
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 2%
- Aerospace Engineering top 10%
- Statistics, Probability and Uncertainty top 2%
- Materials Chemistry
- Co-authors
- Jun‐ichi YamakiShin‐ichi TobishimaKatsuro HayashiYasue NemotoMasayasu ArakawaMasahiko HayashiMasayuki TsudaHajime Arai
- Topics
- Nuclear reactor physics and engineering (30 papers)Nuclear Engineering Thermal-Hydraulics (11 papers)Advanced Thermodynamics and Statistical Mechanics (9 papers)
- Cited by
- Automotive EngineeringStatistics, Probability and UncertaintyElectrical and Electronic Engineering
- Partner nations
- Japan
In The Last Decade
Keiichi SAITO
70 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 638
- Automotive Engineering 411
- Aerospace Engineering 164
- Statistics, Probability and Uncertainty 107
- Materials Chemistry 106
Countries citing papers authored by Keiichi SAITO
This map shows the geographic impact of Keiichi SAITO'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 Keiichi SAITO with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi SAITO more than expected).
Fields of papers citing papers by Keiichi SAITO
This network shows the impact of papers produced by Keiichi SAITO. 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 Keiichi SAITO. The network helps show where Keiichi SAITO may publish in the future.
Co-authorship network of co-authors of Keiichi SAITO
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi SAITO. A scholar is included among the top collaborators of Keiichi SAITO 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 Keiichi SAITO. Keiichi SAITO is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 15 | |
| 18 | 6 | |
| 19 | 5 | |
| 20 | 1 |
About Keiichi SAITO
Keiichi SAITO is a scholar working on Statistical and Nonlinear Physics, Aerospace Engineering and Statistics, Probability and Uncertainty, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (30 papers), Nuclear Engineering Thermal-Hydraulics (11 papers) and Advanced Thermodynamics and Statistical Mechanics (9 papers). The work is most often cited by research in Automotive Engineering (411 citations), Statistics, Probability and Uncertainty (107 citations) and Electrical and Electronic Engineering (638 citations). Keiichi SAITO has collaborated with scholars based in Japan. Frequent co-authors include Jun‐ichi Yamaki, Shin‐ichi Tobishima, Katsuro Hayashi, Yasue Nemoto, Masayasu Arakawa, Masahiko Hayashi, Masayuki Tsuda, Hajime Arai, Yoji Sakurai and Nozomi Saito. Their work appears in journals such as Journal of The Electrochemical Society, Journal of Power Sources and Electrochimica Acta.
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.