Quantitative Finance

2.3k papers and 41.4k indexed citations i.

About

The 2.3k papers published in Quantitative Finance in the last decades have received a total of 41.4k indexed citations. Papers published in Quantitative Finance usually cover Finance (1.8k papers), Economics and Econometrics (1.2k papers) and Management Science and Operations Research (469 papers) specifically the topics of Stochastic processes and financial applications (972 papers), Financial Risk and Volatility Modeling (884 papers) and Financial Markets and Investment Strategies (645 papers). The most active scholars publishing in Quantitative Finance are Rama Cont, Shelby H. McIntyre, Xiaojing Dong, Didier Sornette, Tiziana Di Matteo, Dilip B. Madan, Mark H. Davis, Marco Avellaneda, Cars Hommes and Robert F. Engle.

In The Last Decade

Fields of papers published in Quantitative Finance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Quantitative Finance. 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 Quantitative Finance.

Countries where authors publish in Quantitative Finance

Since Specialization
Citations

This map shows the geographic impact of research published in Quantitative Finance. 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 Quantitative Finance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantitative Finance 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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2026