Econometric Theory

1.8k papers and 61.6k indexed citations i.

About

The 1.8k papers published in Econometric Theory in the last decades have received a total of 61.6k indexed citations. Papers published in Econometric Theory usually cover Statistics and Probability (875 papers), Economics and Econometrics (739 papers) and General Economics, Econometrics and Finance (719 papers) specifically the topics of Monetary Policy and Economic Impact (707 papers), Statistical Methods and Inference (696 papers) and Financial Risk and Volatility Modeling (658 papers). The most active scholars publishing in Econometric Theory are Peter Pedroni, Pentti Saikkonen, Peter C.B. Phillips, Kenneth F. Kroner, Robert F. Engle, Bruce E. Hansen, Donald W. K. Andrews, Jushan Bai, Jeffrey M. Wooldridge and Søren Johansen.

In The Last Decade

Fields of papers published in Econometric Theory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Econometric Theory. 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 Econometric Theory.

Countries where authors publish in Econometric Theory

Since Specialization
Citations

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