Option pricing: Mathematical models and computation
Impact in
- Finance 458
Classified as
In The Last Decade
doi.org/w63207691 →Countries where authors are citing Option pricing: Mathematical models and computation
This map shows the geographic impact of Option pricing: Mathematical models and computation. 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 Option pricing: Mathematical models and computation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Option pricing: Mathematical models and computation more than expected).
Fields of papers citing Option pricing: Mathematical models and computation
This network shows the impact of Option pricing: Mathematical models and computation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Option pricing: Mathematical models and computation.
About Option pricing: Mathematical models and computation
This paper, published in 1994, received 556 indexed citations . Written by Paul Wilmott, Jeff Dewynne and Sam Howison covering the research area of Finance. It is primarily cited by scholars working on Finance (458 citations), Economics and Econometrics (143 citations), Numerical Analysis (134 citations), Computational Mechanics (71 citations) and Computational Theory and Mathematics (53 citations).
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.
This paper is also available at doi.org/w63207691.