Ippei Shibata
Impact in
- Economics and Econometrics top 5%
- COVID-19 Pandemic Impacts
- Labor market dynamics and wage inequality
- Fiscal Policy and Economic Growth
-
- Monetary Policy and Economic Impact
Papers in
-
- Labor market dynamics and wage inequality 14
- COVID-19 Pandemic Impacts 11
- Microfinance and Financial Inclusion 4
- Fiscal Policies and Political Economy 3
-
- Employment and Welfare Studies 15
- Co-authors
- Marina Mendes TavaresNiels‐Jakob HansenJohn BluedornCarlo PizzinelliFrancesca CaselliRomain DuvalKotaro IshiFederico J. Díez
- Journals
- Labour Economics (3 papers)Economía (1 paper)Economic Policy (1 paper)IMF Economic Review (1 paper)Journal of Economics and Business (1 paper)
- Partner nations
- United States
In The Last Decade
Ippei Shibata
32 papers receiving 291 citations
Peers
Comparison fields: 5 of 56
- Economics and Econometrics 230
- General Economics, Econometrics and Finance 46
- Gender Studies 35
- General Health Professions 90
- Modeling and Simulation 16
Countries citing papers authored by Ippei Shibata
This map shows the geographic impact of Ippei Shibata'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 Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ippei Shibata more than expected).
Fields of papers citing papers by Ippei Shibata
This network shows the impact of papers produced by Ippei Shibata. 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 Shibata. The network helps show where Ippei Shibata may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Ippei Shibata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 18 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 41 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 11 | |
| 20 | 2019 | 2 |
About Ippei Shibata
Ippei Shibata is a scholar working on Economics and Econometrics, General Health Professions, Management Information Systems, Gender Studies and Demography, having authored 38 papers that have together received 331 indexed citations. Recurring topics across this work include Employment and Welfare Studies (15 papers), Labor market dynamics and wage inequality (14 papers), COVID-19 Pandemic Impacts (11 papers), Digital Economy and Work Transformation (6 papers), FinTech, Crowdfunding, Digital Finance (4 papers), Microfinance and Financial Inclusion (4 papers), Fiscal Policies and Political Economy (3 papers) and Gender, Labor, and Family Dynamics (3 papers). The work is most often cited by research in Economics and Econometrics (230 citations), General Economics, Econometrics and Finance (46 citations), Gender Studies (35 citations), General Health Professions (90 citations) and Modeling and Simulation (16 citations). Ippei Shibata has collaborated with scholars based in United States. Frequent co-authors include Marina Mendes Tavares, Niels‐Jakob Hansen, John Bluedorn, Carlo Pizzinelli, Francesca Caselli, Romain Duval, Kotaro Ishi, Federico J. Díez, Wenjie Chen and Carolina Villegas‐Sánchez. Their work appears in journals such as Labour Economics, Economía, Economic Policy, IMF Economic Review and Journal of Economics and Business.
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.