Masashi Okamoto
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Takemi YanagimotoNell SedranskYuji NishikawaKeiko YodoiYoichi KijimaKatsuya HataSeinosuke KawashimaTomofumi Takaya
- Topics
- Advanced Statistical Methods and Models (12 papers)Bayesian Methods and Mixture Models (5 papers)Spectroscopy and Chemometric Analyses (4 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchDiscrete Mathematics and Combinatorics
- Partner nations
- JapanUnited States
In The Last Decade
Masashi Okamoto
34 papers receiving 611 citations
Peers
Comparison fields: 5 of 106
- Statistics and Probability 398
- Artificial Intelligence 207
- Management Science and Operations Research 104
- Computer Vision and Pattern Recognition 69
- Computational Theory and Mathematics 62
Countries citing papers authored by Masashi Okamoto
This map shows the geographic impact of Masashi Okamoto'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 Masashi Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Okamoto more than expected).
Fields of papers citing papers by Masashi Okamoto
This network shows the impact of papers produced by Masashi Okamoto. 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 Masashi Okamoto. The network helps show where Masashi Okamoto may publish in the future.
Co-authorship network of co-authors of Masashi Okamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Okamoto. A scholar is included among the top collaborators of Masashi Okamoto 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 Masashi Okamoto. Masashi Okamoto 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 | 48 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | The Guttman effect of a linear trait in Hayashi's third method of quantification | 3 |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 13 | |
| 12 | 30 | |
| 13 | 3 | |
| 14 | 27 | |
| 15 | 4 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 1 |
About Masashi Okamoto
Masashi Okamoto is a scholar working on Statistics and Probability, Numerical Analysis and Applied Mathematics, having authored 38 papers that have together received 710 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (12 papers), Bayesian Methods and Mixture Models (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Statistics and Probability (398 citations), Management Science and Operations Research (104 citations) and Discrete Mathematics and Combinatorics (24 citations). Masashi Okamoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Takemi Yanagimoto, Nell Sedransk, Yuji Nishikawa, Keiko Yodoi, Yoichi Kijima, Katsuya Hata, Seinosuke Kawashima, Tomofumi Takaya, Tomoyuki Kita and Hideto Nakajima. Their work appears in journals such as Biometrika, Mathematics of Computation and The Annals of Statistics.
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.