Syoichi Sasabuchi

452 citations
10 papers · 349 indexed · h-index 9
Topics
Advanced Statistical Methods and Models (5 papers)Statistical Methods and Inference (4 papers)Statistical Methods in Clinical Trials (3 papers)
Journals
BiometrikaCommunication in Statistics- Theory and MethodsHiroshima Mathematical Journal
Partner nations
JapanSri Lanka

In The Last Decade

Syoichi Sasabuchi

10 papers receiving 318 citations

Peers

Syoichi Sasabuchi
Comparison fields: 5 of 66
  • Statistics and Probability 142
  • Economics and Econometrics 93
  • Management Science and Operations Research 78
  • Strategy and Management 71
  • Accounting 53
Replace Gordon Fisher with:
Gordon Fisher Canada
Yuri M. Kaniovski Austria
Patricia Prüfer Netherlands
Hiroki Tsurumi United States
Jaime Gil Aluja Spain
Yves Balcer United States
Bruno Contini Italy
Hung T. Nguyen New Zealand
K. Smimou Canada
Rosa M. Abrantes-Metz United States
Syoichi Sasabuchi relative to Gordon Fisher Canada Gordon Fisher's profile →
Citations per field
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Gordon Fisher · 1×
Citations per year

Countries citing papers authored by Syoichi Sasabuchi

Since Specialization
Citations

This map shows the geographic impact of Syoichi Sasabuchi'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 Syoichi Sasabuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Syoichi Sasabuchi more than expected).

Fields of papers citing papers by Syoichi Sasabuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syoichi Sasabuchi. 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 Syoichi Sasabuchi. The network helps show where Syoichi Sasabuchi may publish in the future.

Co-authorship network of co-authors of Syoichi Sasabuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Syoichi Sasabuchi. A scholar is included among the top collaborators of Syoichi Sasabuchi 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 Syoichi Sasabuchi. Syoichi Sasabuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 8
2 16
3 24
4 10
5 11
6 4
7 13
8 24
9 8
10 231

About Syoichi Sasabuchi

Syoichi Sasabuchi is a scholar working on Statistics and Probability, Management Science and Operations Research and Applied Mathematics, having authored 10 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Statistics and Probability (142 citations), Management Science and Operations Research (78 citations) and Strategy and Management (71 citations). Syoichi Sasabuchi has collaborated with scholars based in Japan and Sri Lanka. Frequent co-authors include Akira Kudō and Hiroyuki Saito. Their work appears in journals such as Biometrika, Communication in Statistics- Theory and Methods and Hiroshima Mathematical Journal.

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.

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