Asian Economic Policy Review

710 papers and 4.2k indexed citations i.

About

The 710 papers published in Asian Economic Policy Review in the last decades have received a total of 4.2k indexed citations. Papers published in Asian Economic Policy Review usually cover Economics and Econometrics (322 papers), General Economics, Econometrics and Finance (265 papers) and Finance (167 papers) specifically the topics of Global trade and economics (147 papers), Global Financial Crisis and Policies (135 papers) and Fiscal Policy and Economic Growth (72 papers). The most active scholars publishing in Asian Economic Policy Review are Takatoshi Ito, David E. Bloom, Jocelyn E. Finlay, Fukunari Kimura, Shujiro Urata, Marcus Noland, Ken Itakura, Hal Hill, Yiping Huang and Chalongphob Sussangkarn.

In The Last Decade

Fields of papers published in Asian Economic Policy Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Asian Economic Policy Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Asian Economic Policy Review.

Countries where authors publish in Asian Economic Policy Review

Since Specialization
Citations

This map shows the geographic impact of research published in Asian Economic Policy Review. 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 papers published in Asian Economic Policy Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asian Economic Policy Review more than expected).

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.

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