European Economic Review

4.9k papers and 194.9k indexed citations i.

About

The 4.9k papers published in European Economic Review in the last decades have received a total of 194.9k indexed citations. Papers published in European Economic Review usually cover Economics and Econometrics (3.6k papers), General Economics, Econometrics and Finance (1.7k papers) and Finance (824 papers) specifically the topics of Monetary Policy and Economic Impact (1.0k papers), Economic theories and models (972 papers) and Fiscal Policy and Economic Growth (687 papers). The most active scholars publishing in European Economic Review are Danny Quah, Elhanan Helpman, Jeffrey D. Sachs, Marco Pagano, Lars E.O. Svensson, David T. Coe, Þorvaldur Gylfason, Christopher A. Sims, Andrew M. Warner and Paúl Krugman.

In The Last Decade

Fields of papers published in European Economic Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in European Economic 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 European Economic Review.

Countries where authors publish in European Economic Review

Since Specialization
Citations

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