SIAM Journal on Financial Mathematics

441 papers and 5.3k indexed citations

About

The 441 papers published in SIAM Journal on Financial Mathematics in the last decades have received a total of 5.3k indexed citations. Papers published in SIAM Journal on Financial Mathematics usually cover Finance (391 papers), Economics and Econometrics (196 papers) and Management Science and Operations Research (118 papers) specifically the topics of Stochastic processes and financial applications (350 papers), Financial Risk and Volatility Modeling (138 papers) and Economic theories and models (114 papers). The most active scholars publishing in SIAM Journal on Financial Mathematics are Justin Kirkby, Cornelis W. Oosterlee, Kay Giesecke, Robert Almgren, Sebastian Jaimungal, Lisa R. Goldberg, Eymen Errais, Álvaro Cartea, Jean‐Pierre Fouque and Thaleia Zariphopoulou.

In The Last Decade

SIAM Journal on Financial Mathematics

397 papers receiving 4.9k citations

Fields of papers published in SIAM Journal on Financial Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in SIAM Journal on Financial Mathematics. 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 SIAM Journal on Financial Mathematics.

Countries where authors publish in SIAM Journal on Financial Mathematics

Since Specialization
Citations

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