Yasushi Ishikawa
- Finance top 5%
- Stochastic processes and financial applications 9
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics 6
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- Semiconductor materials and devices 10
- Thin-Film Transistor Technologies 7
- Plasma Diagnostics and Applications 7
- Applied Mathematics top 10%
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- Speech Recognition and Synthesis 5
- Speech and dialogue systems 4
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- Advanced Mathematical Modeling in Engineering 4
- Co-authors
- Seiji SamukawaMitsuru OkigawaHiroshi KunitaSatoshi YamasakiYoshinari IchihashiShinya KumagaiKenji IshikawaHidetoshi Fukuyama
- Journals
- Applied Physics Letters (3 papers)Journal of Applied Physics (4 papers)The Journal of the Acoustical Society of America (2 papers)
- Partner nations
- Japan
In The Last Decade
Yasushi Ishikawa
49 papers receiving 519 citations
Peers
Comparison fields: 5 of 69
- Finance 117
- Mathematical Physics 75
- Electrical and Electronic Engineering 306
- Applied Mathematics 50
- Electronic, Optical and Magnetic Materials 64
Countries citing papers authored by Yasushi Ishikawa
This map shows the geographic impact of Yasushi Ishikawa'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 Yasushi Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Ishikawa more than expected).
Fields of papers citing papers by Yasushi Ishikawa
This network shows the impact of papers produced by Yasushi Ishikawa. 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 Yasushi Ishikawa. The network helps show where Yasushi Ishikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasushi Ishikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2022 | 2 | |
| 3 | 2020 | 7 | |
| 4 | 2017 | 4 | |
| 5 | 2016 | 8 | |
| 6 | 2011 | 8 | |
| 7 | 2010 | 10 | |
| 8 | 2008 | 3 | |
| 9 | 2006 | 57 | |
| 10 | 2006 | 13 | |
| 11 | 2006 | 21 | |
| 12 | 2004 | 20 | |
| 13 | 2003 | 33 | |
| 14 | 2002 | 14 | |
| 15 | 2002 | 2 | |
| 16 | Co-Evolution of Multiagents via Organizational-Learning Classifier System and its application to Marketing Simulation | 2000 | 0 |
| 17 | 1994 | 2 | |
| 18 | 1990 | 9 | |
| 19 | 1982 | 1 | |
| 20 | 1982 | 3 |
About Yasushi Ishikawa
Yasushi Ishikawa is a scholar working on Mathematical Physics, Finance and Management Science and Operations Research, having authored 55 papers that have together received 555 indexed citations. Recurring topics across this work include Semiconductor materials and devices (10 papers), Stochastic processes and financial applications (9 papers), Thin-Film Transistor Technologies (7 papers), Plasma Diagnostics and Applications (7 papers), Stochastic processes and statistical mechanics (6 papers), Speech Recognition and Synthesis (5 papers), Speech and dialogue systems (4 papers) and Advanced Mathematical Modeling in Engineering (4 papers). The work is most often cited by research in Finance (117 citations), Mathematical Physics (75 citations) and Electrical and Electronic Engineering (306 citations). Yasushi Ishikawa has collaborated with scholars based in Japan. Frequent co-authors include Seiji Samukawa, Mitsuru Okigawa, Hiroshi Kunita, Satoshi Yamasaki, Yoshinari Ichihashi, Shinya Kumagai, Kenji Ishikawa, Hidetoshi Fukuyama, Moritaka Nakamura and Takao Ishida. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and The Journal of the Acoustical Society of America.
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.