Masaaki Sibuya
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications 14
- Advanced Statistical Methods and Models 5
- Finance top 2%
- Financial Risk and Volatility Modeling 6
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- Probability and Risk Models 6
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 15
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- Stochastic processes and statistical mechanics 5
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- Matrix Theory and Algorithms 5
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- Soil Geostatistics and Mapping 4
- Co-authors
- Ritei ShibataNobuo ShinozakiRyoichi ShimizuKunio TanabeTakemi YanagimotoIsao YoshimuraJohan SegersHideatsu Tsukahara
In The Last Decade
Masaaki Sibuya
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 143
- Statistics and Probability 379
- Finance 397
- Management Science and Operations Research 157
- Statistics, Probability and Uncertainty 82
- Artificial Intelligence 342
Countries citing papers authored by Masaaki Sibuya
This map shows the geographic impact of Masaaki Sibuya'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 Masaaki Sibuya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Sibuya more than expected).
Fields of papers citing papers by Masaaki Sibuya
This network shows the impact of papers produced by Masaaki Sibuya. 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 Masaaki Sibuya. The network helps show where Masaaki Sibuya may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Masaaki Sibuya, 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 | 2016 | 40 | |
| 2 | 2015 | 13 | |
| 3 | 2004 | 352 | |
| 4 | 1997 | 5 | |
| 5 | 1995 | 1 | |
| 6 | 1991 | 9 | |
| 7 | 1990 | 13 | |
| 8 | 1990 | 10 | |
| 9 | 1988 | 16 | |
| 10 | 1988 | 10 | |
| 11 | 1980 | 2 | |
| 12 | 1979 | 18 | |
| 13 | 1976 | 11 | |
| 14 | 1974 | 27 | |
| 15 | 1972 | 8 | |
| 16 | 1972 | 13 | |
| 17 | 1962 | 1 | |
| 18 | 1962 | 20 | |
| 19 | 1959 | 1 | |
| 20 | 1956 | 0 |
About Masaaki Sibuya
Masaaki Sibuya is a scholar working on Statistics and Probability, Theoretical Computer Science, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Applied Mathematics, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Statistical Distribution Estimation and Applications (14 papers), Probability and Risk Models (6 papers), Financial Risk and Volatility Modeling (6 papers), Advanced Statistical Methods and Models (5 papers), Stochastic processes and statistical mechanics (5 papers), Matrix Theory and Algorithms (5 papers) and Soil Geostatistics and Mapping (4 papers). The work is most often cited by research in Statistics and Probability (379 citations), Finance (397 citations), Management Science and Operations Research (157 citations), Statistics, Probability and Uncertainty (82 citations) and Artificial Intelligence (342 citations). Masaaki Sibuya has collaborated with scholars based in Japan and Belgium. Frequent co-authors include Ritei Shibata, Nobuo Shinozaki, Ryoichi Shimizu, Kunio Tanabe, Takemi Yanagimoto, Isao Yoshimura, Johan Segers, Hideatsu Tsukahara, Hajime Yamato and Yoshiaki Itoh. Their work appears in journals such as Annals of the Institute of Statistical Mathematics, Journal of Applied Probability, Linear Algebra and its Applications, Japan Journal of Industrial and Applied Mathematics and SIAM Review.
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.