Gilles Pagès

4.4k citations
132 papers · 2.4k indexed · h-index 26
Topics
Stochastic processes and financial applications (60 papers)Statistical Methods and Inference (21 papers)Advanced Data Compression Techniques (20 papers)
Journals
SHILAP Revista de lepidopterologíaEndocrinologyAnnals of Oncology
Partner nations
FranceGermanyItaly

In The Last Decade

Gilles Pagès

127 papers receiving 2.2k citations

Peers

Gilles Pagès
Comparison fields: 5 of 128
  • Finance 988
  • Artificial Intelligence 531
  • Statistics and Probability 443
  • Computer Vision and Pattern Recognition 347
  • Management Science and Operations Research 277
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Gilles Pagès

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Pagès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Pagès

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Pagès. A scholar is included among the top collaborators of Gilles Pagès 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 Gilles Pagès. Gilles Pagès is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 11
5
Computing VaR and CVaR using Stochastic Approximation and Adaptive Unconstrained Importance Sampling
21
6 87
7 2
8 23
9
First-order schemes in the numerical quantization method
19
10
Recursive computation of the invariant distribution of a diffusion
43
11 59
12 18
13 103
14
Almost sure convergence of the one-dimensional Kohonen algorithm.
7
15
On the critical points of the 1-dimensional competitive learning vector quantization algorithm.
10
16
A non linear Kohonen algorithm.
5
17
Two or three things that we know about the Kohonen algorithm.
38
18
Voronoï tesselation, space quantization algorithms and numerical integration.
3
19 42
20
Sur l'approximation des réduites
23

About Gilles Pagès

Gilles Pagès is a scholar working on Finance, Statistics and Probability and Mathematical Physics, having authored 132 papers that have together received 2.4k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (60 papers), Statistical Methods and Inference (21 papers) and Advanced Data Compression Techniques (20 papers). The work is most often cited by research in Finance (988 citations), Statistics and Probability (443 citations) and Numerical Analysis (179 citations). Gilles Pagès has collaborated with scholars based in France, Germany and Italy. Frequent co-authors include Jean‐Claude Fort, Jacques Printems, Harald Luschgy, Damien Lamberton, M. Patrick Cottrell, V. Bally, Jean Mémin, Adam Jakubowski, Huyên Pham and Siegfried Graf. Their work appears in journals such as SHILAP Revista de lepidopterología, Endocrinology and Annals of Oncology.

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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