Ryuichi Yamamoto
- Economics and Econometrics top 5%
- Finance top 5%
- Management Science and Operations Research top 10%
- Signal Processing
- Artificial Intelligence
- Co-authors
- Blake LeBaronXianbing LiuSunhee SukHideaki HirataTakao TeranoShu‐Heng ChenKatsuya TanakaEunwoo Song
- Topics
- Complex Systems and Time Series Analysis (18 papers)Financial Markets and Investment Strategies (16 papers)Stock Market Forecasting Methods (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionJournal of Banking & Finance
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Ryuichi Yamamoto
46 papers receiving 301 citations
Peers
Comparison fields: 5 of 63
- Economics and Econometrics 175
- Finance 153
- Management Science and Operations Research 68
- Signal Processing 40
- Artificial Intelligence 30
Countries citing papers authored by Ryuichi Yamamoto
This map shows the geographic impact of Ryuichi Yamamoto'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 Ryuichi Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuichi Yamamoto more than expected).
Fields of papers citing papers by Ryuichi Yamamoto
This network shows the impact of papers produced by Ryuichi Yamamoto. 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 Ryuichi Yamamoto. The network helps show where Ryuichi Yamamoto may publish in the future.
Co-authorship network of co-authors of Ryuichi Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Ryuichi Yamamoto. A scholar is included among the top collaborators of Ryuichi Yamamoto 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 Ryuichi Yamamoto. Ryuichi Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 37 | |
| 15 | 3 | |
| 16 | 25 | |
| 17 | Order Aggressiveness, Pre-Trade Transparency, and Long Memory in an Order-Driven Market | 1 |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 5 |
About Ryuichi Yamamoto
Ryuichi Yamamoto is a scholar working on Finance, General Engineering and Management Science and Operations Research, having authored 58 papers that have together received 322 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (18 papers), Financial Markets and Investment Strategies (16 papers) and Stock Market Forecasting Methods (8 papers). The work is most often cited by research in Finance (153 citations), Economics and Econometrics (175 citations) and Management Science and Operations Research (68 citations). Ryuichi Yamamoto has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Blake LeBaron, Xianbing Liu, Sunhee Suk, Hideaki Hirata, Takao Terano, Shu‐Heng Chen, Katsuya Tanaka, Eunwoo Song, Hajime Itoh and Matt McVicar. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Banking & Finance.
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.