Arnaud Guyader

1.7k citations
42 papers · 1.1k · h-index 16

Impact in

Papers in

Arnaud Guyader

36 papers receiving 1.0k citations

Peers

Arnaud Guyader
Comparison fields: 5 of 100
  • Statistics and Probability 373
  • Statistics, Probability and Uncertainty 163
  • Artificial Intelligence 364
  • Mathematical Physics 95
  • Management Science and Operations Research 117
Replace Frédéric Cérou with:
Frédéric Cérou France
Alain F. Berlinet France
Eustasio del Barrio Spain
U. Dieter Germany
Andreas N. Philippou Greece
Josef Leydold Austria
Peter Hellekalek Austria
Wolfgang Hörmann Austria
Günter Last Germany
C.E. Goutis Greece
Arnaud Guyader relative to Frédéric Cérou France Frédéric Cérou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arnaud Guyader

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Guyader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007171
2 2011134
3 200194
4 201162
5 200659
6 201153
7 201152
8 200849
9 201548
10 200339
11 201038
12
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
200937
13 200933
14 201932
15
A non asymptotic variance theorem for unnormalized Feynman-Kac particle models
200825
16
Rare Event Simulation for Static Distribution
200818
17 200714
18 200813
19 201212
20 202211

About Arnaud Guyader

Arnaud Guyader is a scholar working on Statistics and Probability, Mathematical Physics, Artificial Intelligence, Management Science and Operations Research and Finance, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (14 papers), Stochastic processes and statistical mechanics (9 papers), Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), Probability and Risk Models (6 papers), Digital Media Forensic Detection (5 papers) and Financial Risk and Volatility Modeling (5 papers). The work is most often cited by research in Statistics and Probability (373 citations), Statistics, Probability and Uncertainty (163 citations), Artificial Intelligence (364 citations), Mathematical Physics (95 citations) and Management Science and Operations Research (117 citations). Arnaud Guyader has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Frédéric Cérou, Teddy Furon, Pierre Del Moral, Gérard Biau, Éric Fabre, Christine M. Guillemot, Qinghua Zhang, Éric Matzner-Løber, Nicolas Hengartner and Tony Lelièvre. Their work appears in journals such as Annales de l Institut Henri Poincaré Probabilités et Statistiques, The Annals of Applied Probability, ESAIM Probability and Statistics, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Information Theory.

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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