Econometrics and Statistics

381 papers and 2.0k indexed citations i.

About

The 381 papers published in Econometrics and Statistics in the last decades have received a total of 2.0k indexed citations. Papers published in Econometrics and Statistics usually cover Statistics and Probability (190 papers), Finance (159 papers) and Economics and Econometrics (141 papers) specifically the topics of Financial Risk and Volatility Modeling (151 papers), Statistical Methods and Inference (128 papers) and Monetary Policy and Economic Impact (91 papers). The most active scholars publishing in Econometrics and Statistics are Jan F. Kiviet, Francesco Lamperti, Jörg Breitung, Kazuhiko Hayakawa, Claudia Klüppelberg, Piotr Kokoszka, Éric Ghysels, Helmut Lütkepohl, Claudia Kirch and Johannes Klepsch.

In The Last Decade

Fields of papers published in Econometrics and Statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Econometrics and Statistics. 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 Econometrics and Statistics.

Countries where authors publish in Econometrics and Statistics

Since Specialization
Citations

This map shows the geographic impact of research published in Econometrics and Statistics. 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 Econometrics and Statistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Econometrics and Statistics 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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2025