Econometrics and Statistics

339 papers and 1.9k indexed citations
i
.

About

The 339 papers published in Econometrics and Statistics in the last decades have received a total of 1.9k indexed citations. Papers published in Econometrics and Statistics usually cover Statistics and Probability (172 papers), Finance (135 papers) and Economics and Econometrics (123 papers) specifically the topics of Financial Risk and Volatility Modeling (130 papers), Statistical Methods and Inference (112 papers) and Monetary Policy and Economic Impact (82 papers). The most active scholars publishing in Econometrics and Statistics are Jan F. Kiviet, Francesco Lamperti, Kazuhiko Hayakawa, Jörg Breitung, Piotr Kokoszka, Éric Ghysels, Helmut Lütkepohl, Sebastian Kripfganz, Claudia Klüppelberg 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2026