Gaël Riboulet

540 total citations
8 papers, 337 citations indexed

About

Gaël Riboulet is a scholar working on Finance, Management Science and Operations Research and Numerical Analysis. According to data from OpenAlex, Gaël Riboulet has authored 8 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Finance, 2 papers in Management Science and Operations Research and 1 paper in Numerical Analysis. Recurrent topics in Gaël Riboulet's work include Credit Risk and Financial Regulations (5 papers), Stochastic processes and financial applications (5 papers) and Financial Risk and Volatility Modeling (3 papers). Gaël Riboulet is often cited by papers focused on Credit Risk and Financial Regulations (5 papers), Stochastic processes and financial applications (5 papers) and Financial Risk and Volatility Modeling (3 papers). Gaël Riboulet collaborates with scholars based in France. Gaël Riboulet's co-authors include Thierry Roncalli, Ashkan Nikeghbali, Valdo Durrleman, Éric Bouyé and David L. Kurtz and has published in prestigious journals such as SSRN Electronic Journal.

In The Last Decade

Gaël Riboulet

8 papers receiving 290 citations

Peers

Gaël Riboulet
Comparison fields: 5 of 77
  • Finance 195
  • Economics and Econometrics 127
  • General Economics, Econometrics and Finance 43
  • Management Science and Operations Research 40
  • Statistics and Probability 37
Replace Éric Bouyé with:
Éric Bouyé United Kingdom
Beatriz Vaz de Melo Mendes Brazil
Almut E. D. Veraart United Kingdom
N. Balakrishna India
Zifeng Zhao United States
Silvano Bordignon Italy
Cláudia Neves Portugal
Clément Dombry France
Valdo Durrleman France
Johan F. Kaashoek Netherlands
Éric Bouyé United Kingdom View profile →
Citations per field, relative to Gaël Riboulet
Gaël Riboulet · 1×
Citations per year, relative to Gaël Riboulet
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Countries citing papers authored by Gaël Riboulet

Since Specialization
Citations

This map shows the geographic impact of Gaël Riboulet's 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 Gaël Riboulet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaël Riboulet more than expected).

Fields of papers citing papers by Gaël Riboulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gaël Riboulet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gaël Riboulet. The network helps show where Gaël Riboulet may publish in the future.

Co-authorship network of co-authors of Gaël Riboulet

This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Riboulet. A scholar is included among the top collaborators of Gaël Riboulet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaël Riboulet. Gaël Riboulet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1
Financial Applications of Copula Functions
7
2
Dynamic Hedging of Credit Derivative: a First Approach∗
1
3 3
4 13
5 19
6 285
7 8
8 1

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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