Review of Derivatives Research

267 papers and 5.4k indexed citations i.

About

The 267 papers published in Review of Derivatives Research in the last decades have received a total of 5.4k indexed citations. Papers published in Review of Derivatives Research usually cover Finance (252 papers), Economics and Econometrics (81 papers) and Demography (32 papers) specifically the topics of Stochastic processes and financial applications (210 papers), Financial Risk and Volatility Modeling (94 papers) and Financial Markets and Investment Strategies (82 papers). The most active scholars publishing in Review of Derivatives Research are David Lando, Eduardo S. Schwartz, Julio J. Lucia, Dilip B. Madan, Leif B. G. Andersen, Haluk Ünal, Jesper Andreasen, Lars Stentoft, Robert A. Jarrow and Peter Carr.

In The Last Decade

Fields of papers published in Review of Derivatives Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Review of Derivatives Research. 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 Review of Derivatives Research.

Countries where authors publish in Review of Derivatives Research

Since Specialization
Citations

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