Applied Mathematical Finance

488 papers and 8.9k indexed citations i.

About

The 488 papers published in Applied Mathematical Finance in the last decades have received a total of 8.9k indexed citations. Papers published in Applied Mathematical Finance usually cover Finance (444 papers), Economics and Econometrics (187 papers) and Management Science and Operations Research (88 papers) specifically the topics of Stochastic processes and financial applications (391 papers), Financial Risk and Volatility Modeling (185 papers) and Financial Markets and Investment Strategies (117 papers). The most active scholars publishing in Applied Mathematical Finance are Robert Almgren, Álvaro Cartea, Fred Espen Benth, Terence J. Lyons, M. Avellaneda, Arnon Levy, Sebastian Jaimungal, Patrick S. Hagan, Marco Avellaneda and Farshid Jamshidian.

In The Last Decade

Fields of papers published in Applied Mathematical Finance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied Mathematical 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 Applied Mathematical Finance.

Countries where authors publish in Applied Mathematical Finance

Since Specialization
Citations

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