Journal of Applied Econometrics

1.9k papers and 123.3k indexed citations i.

About

The 1.9k papers published in Journal of Applied Econometrics in the last decades have received a total of 123.3k indexed citations. Papers published in Journal of Applied Econometrics usually cover Economics and Econometrics (1.4k papers), General Economics, Econometrics and Finance (865 papers) and Finance (421 papers) specifically the topics of Monetary Policy and Economic Impact (806 papers), Market Dynamics and Volatility (416 papers) and Financial Risk and Volatility Modeling (256 papers). The most active scholars publishing in Journal of Applied Econometrics are M. Hashem Pesaran, Yongcheol Shin, Richard J. Smith, James G. MacKinnon, Jeffrey M. Wooldridge, Jushan Bai, Pierre Perrón, Daniel McFadden, Kenneth Train and Leslie E. Papke.

In The Last Decade

Fields of papers published in Journal of Applied Econometrics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Applied Econometrics. 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 Applied Econometrics.

Countries where authors publish in Journal of Applied Econometrics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Applied Econometrics. 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 Applied Econometrics 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 Applied Econometrics 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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