Nakahiro Yoshida
- Finance top 0.5%
- Statistics and Probability top 0.5%
- Economics and Econometrics top 5%
- Mathematical Physics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Takaki HayashiMasayuki UchidaYasutaka ShimizuAkihiko TakahashiStefano M. IacusShigeo KusuokaJean JacodIoane Muni Toke
- Topics
- Stochastic processes and financial applications (41 papers)Statistical Methods and Inference (32 papers)Financial Risk and Volatility Modeling (32 papers)
- Journals
- Journal of Statistical SoftwareProbability Theory and Related FieldsJournal of Multivariate Analysis
- Partner nations
- JapanFranceUnited States
In The Last Decade
Nakahiro Yoshida
67 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 78
- Finance 1.3k
- Statistics and Probability 659
- Economics and Econometrics 297
- Mathematical Physics 267
- Artificial Intelligence 175
Countries citing papers authored by Nakahiro Yoshida
This map shows the geographic impact of Nakahiro Yoshida'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 Nakahiro Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nakahiro Yoshida more than expected).
Fields of papers citing papers by Nakahiro Yoshida
This network shows the impact of papers produced by Nakahiro Yoshida. 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 Nakahiro Yoshida. The network helps show where Nakahiro Yoshida may publish in the future.
Co-authorship network of co-authors of Nakahiro Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Nakahiro Yoshida. A scholar is included among the top collaborators of Nakahiro Yoshida 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 Nakahiro Yoshida. Nakahiro Yoshida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | Analyzing order flows in limit order books with ratios of Cox-type intensities | 6 |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 18 | |
| 11 | 13 | |
| 12 | 58 | |
| 13 | 27 | |
| 14 | 1 | |
| 15 | Nonsynchronously observed diffusions and covariance estimation(Mathematical Economics) | 1 |
| 16 | 13 | |
| 17 | 10 | |
| 18 | 73 | |
| 19 | 173 | |
| 20 | Some problems in mass propagation of striped jack Caranx delicatissimus | 2 |
About Nakahiro Yoshida
Nakahiro Yoshida is a scholar working on Finance, Statistics and Probability and Mathematical Physics, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (41 papers), Statistical Methods and Inference (32 papers) and Financial Risk and Volatility Modeling (32 papers). The work is most often cited by research in Finance (1.3k citations), Statistics and Probability (659 citations) and Mathematical Physics (267 citations). Nakahiro Yoshida has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Takaki Hayashi, Masayuki Uchida, Yasutaka Shimizu, Akihiko Takahashi, Stefano M. Iacus, Shigeo Kusuoka, Jean Jacod, Ioane Muni Toke, Sangyeol Lee and Arnaud Gloter. Their work appears in journals such as Journal of Statistical Software, Probability Theory and Related Fields and Journal of Multivariate Analysis.
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.