Yves F. Atchadé

2.1k total citations
42 papers, 1.0k citations indexed

About

Yves F. Atchadé is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Yves F. Atchadé has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 12 papers in Mathematical Physics. Recurrent topics in Yves F. Atchadé's work include Markov Chains and Monte Carlo Methods (23 papers), Statistical Methods and Inference (19 papers) and Bayesian Methods and Mixture Models (18 papers). Yves F. Atchadé is often cited by papers focused on Markov Chains and Monte Carlo Methods (23 papers), Statistical Methods and Inference (19 papers) and Bayesian Methods and Mixture Models (18 papers). Yves F. Atchadé collaborates with scholars based in United States, Canada and United Kingdom. Yves F. Atchadé's co-authors include Jeffrey S. Rosenthal, Aaron A. King, Edward L. Ionides, Gareth O. Roberts, Jun S. Liu, John R. O’Leary, Gersende Fort, Pierre Jacob, Anindya Bhadra and Christophe Andrieu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Econometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Yves F. Atchadé

41 papers receiving 961 citations

Peers

Yves F. Atchadé
Comparison fields: 5 of 130
  • Statistics and Probability 461
  • Artificial Intelligence 391
  • Mathematical Physics 97
  • Statistical and Nonlinear Physics 82
  • Economics and Econometrics 81
Replace Eugenio Regazzini with:
Eugenio Regazzini Italy
Pierre Jacob France
Nial Friel Ireland
Natesh S. Pillai United States
Omiros Papaspiliopoulos United Kingdom
Oliver Johnson United Kingdom
Ramón Gutiérrez Jáimez Spain
Rabi Bhattacharya United States
Tomaz J. Kozubowski United States
Judith Rousseau France
Eugenio Regazzini Italy View profile →
Citations per field, relative to Yves F. Atchadé
Yves F. Atchadé · 1×
Citations per year, relative to Yves F. Atchadé
Yves F. Atchadé · 1×

Countries citing papers authored by Yves F. Atchadé

Since Specialization
Citations

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

Fields of papers citing papers by Yves F. Atchadé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yves F. Atchadé. 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 Yves F. Atchadé. The network helps show where Yves F. Atchadé may publish in the future.

Co-authorship network of co-authors of Yves F. Atchadé

This figure shows the co-authorship network connecting the top 25 collaborators of Yves F. Atchadé. A scholar is included among the top collaborators of Yves F. Atchadé 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 Yves F. Atchadé. Yves F. Atchadé 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 4
2
Sequential change-point detection in high-dimensional Gaussian graphical models
9
3
On Bayesian sparse canonical correlation analysis via Rayleigh quotient framework.
1
4 2
5 5
6 2
7
Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points
3
8 1
9 6
10 77
11
Modeling Choice Interdependence in a Social Network
0
12
Playing Russian Roulette with Intractable Likelihoods
9
13 6
14 18
15
The Wang-Landau algorithm in general state spaces: Applications and convergence analysis
35
16 58
17 7
18 21
19 95
20
Improving on the Independent Metropolis-Hastings algorithm
9

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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