François Roueff

1.3k citations
61 papers · 797 · h-index 16

Impact in

  • Finance top 2%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications
    • Statistical Methods and Inference

Papers in

    • Financial Risk and Volatility Modeling 22
    • Stochastic processes and financial applications 9
    • Statistical Methods and Inference 17

François Roueff

57 papers receiving 775 citations

Peers

François Roueff
Comparison fields: 5 of 95
  • Finance 276
  • Statistics and Probability 122
  • Economics and Econometrics 287
  • Applied Mathematics 78
  • Mathematical Physics 62
Replace Jean‐Marc Bardet with:
Jean‐Marc Bardet France
Raisa E. Feldman United States
Xavier Guyon France
Huyên Pham France
Philippe Soulier France
Ramón Gutiérrez Jáimez Spain
Ashkan Nikeghbali Switzerland
Noureddine El Karoui United States
Steffen Dereich Germany
A. G. Miamee United States
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Citations per field
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Citations per year

Countries citing papers authored by François Roueff

Since Specialization
Citations

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

Fields of papers citing papers by François Roueff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside François Roueff, 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 François Roueff Line = papers co-authored together François Roueff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010107
2 200959
3 200654
4 200949
5 200943
6 200637
7
A Regularization Approach to Fractional Dimension Estimation
199836
8 200730
9 201428
10 200724
11 200722
12 200922
13 200122
14 200820
15 201116
16 200716
17 201515
18 201015
19 200714
20 200511

About François Roueff

François Roueff is a scholar working on Finance, Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition and Mathematical Physics, having authored 61 papers that have together received 797 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (22 papers), Statistical Methods and Inference (17 papers), Stochastic processes and financial applications (9 papers), Image and Signal Denoising Methods (8 papers), Bayesian Methods and Mixture Models (8 papers), Complex Systems and Time Series Analysis (8 papers), Mathematical Dynamics and Fractals (5 papers) and Point processes and geometric inequalities (4 papers). The work is most often cited by research in Finance (276 citations), Statistics and Probability (122 citations), Economics and Econometrics (287 citations), Applied Mathematics (78 citations) and Mathematical Physics (62 citations). François Roueff has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Rainer von Sachs, Murad S. Taqqu, Éric Moulines, Yann Gousseau, Céline Lévy‐Leduc, Gilles Faÿ, Philippe Soulier, Jacques Lévy Véhel, Charles Bordenave and Randal Douc. Their work appears in journals such as Stochastic Processes and their Applications, Journal of Time Series Analysis, Bernoulli, IEEE Transactions on Signal Processing and Applied and Computational Harmonic Analysis.

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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