Shigeo Matsubara
- Management Science and Operations Research top 2%
- Marketing top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Economics and Econometrics top 10%
- Co-authors
- Makoto YokooYuko SakuraiTakeshi OhguroFumio HattoriTakayuki ItōToru IshidaHuan JiangArif Bramantoro
- Topics
- Auction Theory and Applications (24 papers)Consumer Market Behavior and Pricing (12 papers)Game Theory and Applications (10 papers)
- Partner nations
- JapanUnited StatesTunisia
In The Last Decade
Shigeo Matsubara
34 papers receiving 457 citations
Peers
Comparison fields: 5 of 49
- Management Science and Operations Research 340
- Marketing 159
- Artificial Intelligence 150
- Computer Networks and Communications 144
- Economics and Econometrics 122
Countries citing papers authored by Shigeo Matsubara
This map shows the geographic impact of Shigeo Matsubara'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 Shigeo Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeo Matsubara more than expected).
Fields of papers citing papers by Shigeo Matsubara
This network shows the impact of papers produced by Shigeo Matsubara. 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 Shigeo Matsubara. The network helps show where Shigeo Matsubara may publish in the future.
Co-authorship network of co-authors of Shigeo Matsubara
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeo Matsubara. A scholar is included among the top collaborators of Shigeo Matsubara 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 Shigeo Matsubara. Shigeo Matsubara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | Who are the archivists? : Understanding the role of reputation, seniority, and power in social Q&A | 1 |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 8 | |
| 15 | 83 | |
| 16 | 2 | |
| 17 | The effect of false-name declarations in mechanism design: Towards collective decision making on the internet | 3 |
| 18 | A limitation of the generalized Vickrey auction in electronic commerce: robustness against false-name bids | 33 |
| 19 | 2 | |
| 20 | Real-Time planning by interleaving real-time search with subgoaling | 8 |
About Shigeo Matsubara
Shigeo Matsubara is a scholar working on Management Science and Operations Research, Computer Science Applications and Marketing, having authored 37 papers that have together received 499 indexed citations. Recurring topics across this work include Auction Theory and Applications (24 papers), Consumer Market Behavior and Pricing (12 papers) and Game Theory and Applications (10 papers). The work is most often cited by research in Management Science and Operations Research (340 citations), Marketing (159 citations) and Computer Science Applications (41 citations). Shigeo Matsubara has collaborated with scholars based in Japan, United States and Tunisia. Frequent co-authors include Makoto Yokoo, Yuko Sakurai, Takeshi Ohguro, Fumio Hattori, Takayuki Itō, Toru Ishida, Huan Jiang, Arif Bramantoro, Xin Zhou and Yumiko Mori. Their work appears in journals such as Communications of the ACM, Artificial Intelligence and Decision Support Systems.
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.