Journal of Financial Econometrics

547 papers and 21.4k indexed citations i.

About

The 547 papers published in Journal of Financial Econometrics in the last decades have received a total of 21.4k indexed citations. Papers published in Journal of Financial Econometrics usually cover Finance (478 papers), Economics and Econometrics (325 papers) and General Economics, Econometrics and Finance (201 papers) specifically the topics of Financial Risk and Volatility Modeling (368 papers), Monetary Policy and Economic Impact (200 papers) and Market Dynamics and Volatility (197 papers). The most active scholars publishing in Journal of Financial Econometrics are Fulvio Corsi, Ole E. Barndorff–Nielsen, Neil Shephard, Robert F. Engle, Xin Huang, Jozef Baruník, Tomáš Křehlík, Andrew J. Patton, Lorenzo Cappiello and Tim Bollerslev.

In The Last Decade

Fields of papers published in Journal of Financial Econometrics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Financial Econometrics

Since Specialization
Citations

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