Journal of Econometrics

5.3k papers and 449.5k indexed citations i.

About

The 5.3k papers published in Journal of Econometrics in the last decades have received a total of 449.5k indexed citations. Papers published in Journal of Econometrics usually cover Economics and Econometrics (2.8k papers), General Economics, Econometrics and Finance (1.9k papers) and Statistics and Probability (1.9k papers) specifically the topics of Monetary Policy and Economic Impact (1.9k papers), Financial Risk and Volatility Modeling (1.4k papers) and Statistical Methods and Inference (1.4k papers). The most active scholars publishing in Journal of Econometrics are Tim Bollerslev, M. Hashem Pesaran, Richard Blundell, Stephen Bond, Clive W. J. Granger, Manuel Arellano, Yongcheol Shin, Olympia Bover, Peter Schmidt and Bruce E. Hansen.

In The Last Decade

Fields of papers published in Journal of Econometrics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Econometrics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of 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 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 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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