Sophie Donnet

839 total citations
28 papers, 410 citations indexed

About

Sophie Donnet is a scholar working on Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, Sophie Donnet has authored 28 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Sophie Donnet's work include Statistical Methods and Bayesian Inference (8 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Inference (7 papers). Sophie Donnet is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Inference (7 papers). Sophie Donnet collaborates with scholars based in France, United States and Australia. Sophie Donnet's co-authors include Adeline Samson, Pierre Barbillon, Avner Bar‐Hen, Emmanuel Lazega, Judith Rousseau, Jean‐Louis Foulley, Chantal Guihenneuc‐Jouyaux, Samantha Low‐Choy, Isabelle Albert and Kerrie Mengersen and has published in prestigious journals such as Ecology, NeuroImage and Advanced Drug Delivery Reviews.

In The Last Decade

Sophie Donnet

25 papers receiving 398 citations

Peers

Sophie Donnet
Comparison fields: 5 of 129
  • Statistics and Probability 110
  • Artificial Intelligence 91
  • Statistical and Nonlinear Physics 61
  • Cognitive Neuroscience 50
  • Molecular Biology 42
Replace Sung Nok Chiu with:
Sung Nok Chiu Hong Kong
Nicholas A. James United States
Douglas B. Clarkson United States
Julio Michael Stern Brazil
Hien D. Nguyen Australia
Jesse Windle United States
Matthew A. Nunes United Kingdom
Juhyun Park United Kingdom
Daniele Durante Italy
Hans Rudi Fischer United States
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Citations per field, relative to Sophie Donnet
Sophie Donnet · 1×
Citations per year, relative to Sophie Donnet
Sophie Donnet · 1×

Countries citing papers authored by Sophie Donnet

Since Specialization
Citations

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

Fields of papers citing papers by Sophie Donnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophie Donnet

This figure shows the co-authorship network connecting the top 25 collaborators of Sophie Donnet. A scholar is included among the top collaborators of Sophie Donnet 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 Sophie Donnet. Sophie Donnet 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
# Work Indexed citations
1 0
2 4
3 3
4 1
5 8
6 8
7 19
8 49
9 6
10
On Convergence Rates of Empirical Bayes Procedures
0
11 28
12 67
13
Bayesian Analysis of ODE’s: solver optimal accuracy and Bayes factors
5
14 66
15 1
16 3
17 35
18 28
19 12
20 3

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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