Ippei Fujiwara
- General Economics, Econometrics and Finance top 2%
- Economics and Econometrics top 2%
- Finance top 2%
- Accounting
- Management Science and Operations Research
- Co-authors
- Yuki TeranishiYasuo HiroseMototsugu ShintaniKōzō UedaKoji TakahashiNao SudoJ. Scott DavisTomoyuki Nakajima
- Topics
- Monetary Policy and Economic Impact (51 papers)Economic theories and models (28 papers)Global Financial Crisis and Policies (22 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Ippei Fujiwara
59 papers receiving 496 citations
Peers
Comparison fields: 5 of 25
- General Economics, Econometrics and Finance 442
- Economics and Econometrics 394
- Finance 272
- Accounting 35
- Management Science and Operations Research 11
Countries citing papers authored by Ippei Fujiwara
This map shows the geographic impact of Ippei Fujiwara'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 Ippei Fujiwara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ippei Fujiwara more than expected).
Fields of papers citing papers by Ippei Fujiwara
This network shows the impact of papers produced by Ippei Fujiwara. 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 Ippei Fujiwara. The network helps show where Ippei Fujiwara may publish in the future.
Co-authorship network of co-authors of Ippei Fujiwara
This figure shows the co-authorship network connecting the top 25 collaborators of Ippei Fujiwara. A scholar is included among the top collaborators of Ippei Fujiwara 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 Ippei Fujiwara. Ippei Fujiwara 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | Robots and labour: implications for inflation dynamics | 1 |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | The Global Impact of Chinese Growth | 4 |
| 18 | Japanese Monetary Policy during the Collapse of the Bubble Economy: A View of Policymaking under Uncertainty | 4 |
| 19 | A Statistical Forecasting Method for Inflation Forecasting: Hitting Every Vector Autoregression and Forecasting under Model Uncertainty | 5 |
| 20 | 13 |
About Ippei Fujiwara
Ippei Fujiwara is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics, having authored 63 papers that have together received 542 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (51 papers), Economic theories and models (28 papers) and Global Financial Crisis and Policies (22 papers). The work is most often cited by research in General Economics, Econometrics and Finance (442 citations), Finance (272 citations) and Economics and Econometrics (394 citations). Ippei Fujiwara has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Yuki Teranishi, Yasuo Hirose, Mototsugu Shintani, Kōzō Ueda, Koji Takahashi, Nao Sudo, J. Scott Davis, Tomoyuki Nakajima, Florin Bilbiie and Fabio Ghironi. Their work appears in journals such as American Economic Review, Journal of Banking & Finance and Journal of Monetary Economics.
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.