Makoto Yano
- Economics and Econometrics top 1%
- General Economics, Econometrics and Finance top 2%
- Finance top 10%
- Statistical and Nonlinear Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Kazuo NishimuraJeffrey B. NugentPaul WellerMichele BoldrínGerhard SorgerAlain VendittiKrishnendu Ghosh DastidarYuichi Furukawa
- Topics
- Economic theories and models (45 papers)Economic Theory and Policy (15 papers)Complex Systems and Time Series Analysis (13 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Makoto Yano
74 papers receiving 770 citations
Peers
Comparison fields: 5 of 67
- Economics and Econometrics 701
- General Economics, Econometrics and Finance 388
- Finance 82
- Statistical and Nonlinear Physics 65
- Management Science and Operations Research 59
Countries citing papers authored by Makoto Yano
This map shows the geographic impact of Makoto Yano'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 Makoto Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Yano more than expected).
Fields of papers citing papers by Makoto Yano
This network shows the impact of papers produced by Makoto Yano. 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 Makoto Yano. The network helps show where Makoto Yano may publish in the future.
Co-authorship network of co-authors of Makoto Yano
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Yano. A scholar is included among the top collaborators of Makoto Yano 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 Makoto Yano. Makoto Yano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 36 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 13 | |
| 15 | Topological Optimal Chaos | 1 |
| 16 | 1 | |
| 17 | OPTIMAL CHAOS WHEN FUTURE UTILITIES ARE DISCOUNTED ARBITRARILY WEAKLY(Nonlinear Analysis and Mathematical Economics) | 2 |
| 18 | 19 | |
| 19 | 22 | |
| 20 | 38 |
About Makoto Yano
Makoto Yano is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 81 papers that have together received 837 indexed citations. Recurring topics across this work include Economic theories and models (45 papers), Economic Theory and Policy (15 papers) and Complex Systems and Time Series Analysis (13 papers). The work is most often cited by research in General Economics, Econometrics and Finance (388 citations), Economics and Econometrics (701 citations) and Development (48 citations). Makoto Yano has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Kazuo Nishimura, Jeffrey B. Nugent, Paul Weller, Michele Boldrín, Gerhard Sorger, Alain Venditti, Krishnendu Ghosh Dastidar, Yuichi Furukawa, Kenji Satô and John Stachurski. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Economic Review and Econometrica.
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.