Journal of Monetary Economics

3.2k papers and 256.6k indexed citations i.

About

The 3.2k papers published in Journal of Monetary Economics in the last decades have received a total of 256.6k indexed citations. Papers published in Journal of Monetary Economics usually cover Economics and Econometrics (2.6k papers), General Economics, Econometrics and Finance (2.1k papers) and Finance (1.1k papers) specifically the topics of Monetary Policy and Economic Impact (1.8k papers), Economic theories and models (1.3k papers) and Economic Theory and Policy (905 papers). The most active scholars publishing in Journal of Monetary Economics are Robert E. Lucas, Eugene F. Fama, David Alan Aschauer, Robert J. Barro, Ross Levine, Charles R. Nelson, Mark Gertler, Christopher A. Sims, Robert G. King and Edward C. Prescott.

In The Last Decade

Fields of papers published in Journal of Monetary Economics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Monetary Economics. 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 Journal of Monetary Economics.

Countries where authors publish in Journal of Monetary Economics

Since Specialization
Citations

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