Eric Benhamou

1k citations
18 papers · 327 · h-index 9

Impact in

  • Finance top 2%
    • Stochastic processes and financial applications
    • Financial Markets and Investment Strategies
    • Finance, Markets, and Regulation
    • Stock Market Forecasting Methods
    • Risk and Portfolio Optimization

Papers in

Eric Benhamou

16 papers receiving 299 citations

Peers

Eric Benhamou
Comparison fields: 5 of 29
  • Finance 258
  • Management Science and Operations Research 26
  • Artificial Intelligence 26
  • Numerical Analysis 3
  • Statistics and Probability 8
Replace Elke Korn with:
Elke Korn Germany
Minqiang Li United States
Howard Howan Stephen Shek United States
Rolf Poulsen Denmark
Jörn Saß Germany
Umut Çetın United Kingdom
Martin David Gould United Kingdom
Shenghong Li China
Claudia Ceci Italy
Rainer Schöbel Germany
Eric Benhamou relative to Elke Korn Germany Elke Korn's profile →
Citations per field
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Elke Korn · 1×
Citations per year

Countries citing papers authored by Eric Benhamou

Since Specialization
Citations

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

Fields of papers citing papers by Eric Benhamou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Benhamou. 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 Eric Benhamou. The network helps show where Eric Benhamou may publish in the future.

Co-authors

The 4 scholars most cited alongside Eric Benhamou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Benhamou Line = papers co-authored together Eric Benhamou links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201093
2 200246
3 200941
4 202136
5 201023
6 200319
7 200213
8 201113
9 202010
10 20039
11 20008
12 20217
13 20073
14 20213
15
Pricing Convexity Adjustment with Wiener Chaos
20002
16 20201
17 20240
18 20260

About Eric Benhamou

Eric Benhamou is a scholar working on Finance, Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics and Nuclear Energy and Engineering, having authored 18 papers that have together received 327 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Stock Market Forecasting Methods (5 papers), Risk and Portfolio Optimization (3 papers), Sentiment Analysis and Opinion Mining (1 paper), Financial Markets and Investment Strategies (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Game Theory and Voting Systems (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Finance (258 citations), Management Science and Operations Research (26 citations), Artificial Intelligence (26 citations), Numerical Analysis (3 citations) and Statistics and Probability (8 citations). Eric Benhamou has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Emmanuel Gobet A, Jamal Atif C, Rida Laraki and Sebástien Vérel. Their work appears in journals such as Quantitative Finance, Mathematical Finance, International Journal of Theoretical and Applied Finance, SIAM Journal on Financial Mathematics and Journal of Economic Dynamics and Control.

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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