Shonosuke Sugasawa
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Modeling and Simulation top 10%
- Co-authors
- Tatsuya KubokawaHisashi NomaGenya KobayashiDaisuke MurakamiYuki KawakuboJ. N. K. RaoPartha LahiriShigeyuki Matsui
- Topics
- Statistical Methods and Bayesian Inference (24 papers)Statistical Methods and Inference (23 papers)Spatial and Panel Data Analysis (20 papers)
- Cited by
- Statistics and ProbabilityModeling and SimulationManagement Science and Operations Research
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Shonosuke Sugasawa
55 papers receiving 295 citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 132
- Economics and Econometrics 80
- Artificial Intelligence 56
- Management Science and Operations Research 54
- Modeling and Simulation 27
Countries citing papers authored by Shonosuke Sugasawa
This map shows the geographic impact of Shonosuke Sugasawa'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 Shonosuke Sugasawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shonosuke Sugasawa more than expected).
Fields of papers citing papers by Shonosuke Sugasawa
This network shows the impact of papers produced by Shonosuke Sugasawa. 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 Shonosuke Sugasawa. The network helps show where Shonosuke Sugasawa may publish in the future.
Co-authorship network of co-authors of Shonosuke Sugasawa
This figure shows the co-authorship network connecting the top 25 collaborators of Shonosuke Sugasawa. A scholar is included among the top collaborators of Shonosuke Sugasawa 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 Shonosuke Sugasawa. Shonosuke Sugasawa 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 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | Box-Cox Transformed Linear Mixed Models for Positive-Valued and Clustered Data | 1 |
| 20 | 9 |
About Shonosuke Sugasawa
Shonosuke Sugasawa is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 65 papers that have together received 305 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (24 papers), Statistical Methods and Inference (23 papers) and Spatial and Panel Data Analysis (20 papers). The work is most often cited by research in Statistics and Probability (132 citations), Modeling and Simulation (27 citations) and Management Science and Operations Research (54 citations). Shonosuke Sugasawa has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tatsuya Kubokawa, Hisashi Noma, Genya Kobayashi, Daisuke Murakami, Yuki Kawakubo, J. N. K. Rao, Partha Lahiri, Shigeyuki Matsui, Takahiro Otani and Gauri Sankar Datta. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Biometrika.
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.