Frederic Utzet

890 citations
25 papers · 470 · h-index 10

Impact in

  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Random Matrices and Applications

Papers in

    • Stochastic processes and financial applications 11
    • Financial Risk and Volatility Modeling 3
    • Stochastic processes and statistical mechanics 5
    • Mathematical Dynamics and Fractals 2

Frederic Utzet

23 papers receiving 443 citations

Peers

Frederic Utzet
Comparison fields: 5 of 89
  • Finance 181
  • Statistics and Probability 104
  • Applied Mathematics 105
  • Mathematical Physics 80
  • Statistics, Probability and Uncertainty 25
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Citations per field
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Citations per year

Countries citing papers authored by Frederic Utzet

Since Specialization
Citations

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

Fields of papers citing papers by Frederic Utzet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Frederic Utzet, 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 Frederic Utzet Line = papers co-authored together Frederic Utzet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199990
2 201064
3 200258
4 200546
5 200637
6 199035
7 201433
8 200127
9 201016
10 200011
11
Canonical L´ evy process and Malliavin calculus I
20078
12 20047
13 20157
14
On the norming constants for normal maxima
20156
15 19944
16 20104
17 20104
18
A note on the application of integrals involving cyclic products of kernels
20023
19 19953
20 20083

About Frederic Utzet

Frederic Utzet is a scholar working on Finance, Mathematical Physics, Statistics and Probability, Applied Mathematics and Economics and Econometrics, having authored 25 papers that have together received 470 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Stochastic processes and statistical mechanics (5 papers), Advanced Statistical Methods and Models (4 papers), Complex Systems and Time Series Analysis (4 papers), Statistical Methods and Inference (3 papers), Financial Risk and Volatility Modeling (3 papers), Probability and Risk Models (3 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Finance (181 citations), Statistics and Probability (104 citations), Applied Mathematics (105 citations), Mathematical Physics (80 citations) and Statistics, Probability and Uncertainty (25 citations). Frederic Utzet has collaborated with scholars based in Spain, Mexico and Canada. Frequent co-authors include Josep Lluís Solé, Josep Vives, Mercè Farré, Mariano Labrador, Antonio Fontdevila, Armengol Gasull, Jesús Solé, Giovanni Peccati, Murad S. Taqqu and Jorge A. Leòn. Their work appears in journals such as Stochastic Processes and their Applications, The Annals of Probability, Journal of Theoretical Probability, Bernoulli and Test.

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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