Teruyoshi Kobayashi
- Economics and Econometrics top 10%
- Finance top 5%
- Statistical and Nonlinear Physics top 5%
- General Economics, Econometrics and Finance top 10%
- Sociology and Political Science
- Co-authors
- Taro TakaguchiCharles D. BrummittIchiro MutoAlain BarratMathieu GénoisTatsuro KawamotoPaolo BaruccaFabio Caccioli
- Topics
- Complex Network Analysis Techniques (15 papers)Economic theories and models (15 papers)Monetary Policy and Economic Impact (13 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Teruyoshi Kobayashi
36 papers receiving 239 citations
Peers
Comparison fields: 5 of 47
- Economics and Econometrics 122
- Finance 97
- Statistical and Nonlinear Physics 96
- General Economics, Econometrics and Finance 80
- Sociology and Political Science 24
Countries citing papers authored by Teruyoshi Kobayashi
This map shows the geographic impact of Teruyoshi Kobayashi'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 Teruyoshi Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruyoshi Kobayashi more than expected).
Fields of papers citing papers by Teruyoshi Kobayashi
This network shows the impact of papers produced by Teruyoshi Kobayashi. 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 Teruyoshi Kobayashi. The network helps show where Teruyoshi Kobayashi may publish in the future.
Co-authorship network of co-authors of Teruyoshi Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Teruyoshi Kobayashi. A scholar is included among the top collaborators of Teruyoshi Kobayashi 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 Teruyoshi Kobayashi. Teruyoshi Kobayashi 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 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | Understanding the fundamental dynamics of interbank networks | 2 |
| 12 | 36 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 18 | |
| 16 | 3 | |
| 17 | Announcements and the Effectiveness of Monetay Policy: A View from the US Prime Rate | 1 |
| 18 | 9 | |
| 19 | 5 | |
| 20 | 2 |
About Teruyoshi Kobayashi
Teruyoshi Kobayashi is a scholar working on Computational Mathematics, General Economics, Econometrics and Finance and Finance, having authored 41 papers that have together received 248 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Economic theories and models (15 papers) and Monetary Policy and Economic Impact (13 papers). The work is most often cited by research in Finance (97 citations), General Economics, Econometrics and Finance (80 citations) and Statistical and Nonlinear Physics (96 citations). Teruyoshi Kobayashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Taro Takaguchi, Charles D. Brummitt, Ichiro Muto, Alain Barrat, Mathieu Génois, Tatsuro Kawamoto, Paolo Barucca, Fabio Caccioli, Naoki Masuda and Emilio Ferrara. Their work appears in journals such as Nature Communications, Journal of Banking & Finance and European Economic 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.