Ery Arias-Castro

155 total papers · 3.0k total citations
60 papers, 1.5k citations indexed

About

Ery Arias-Castro is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ery Arias-Castro has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Statistics and Probability and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ery Arias-Castro's work include Bayesian Methods and Mixture Models (13 papers), Statistical Methods and Inference (13 papers) and Topological and Geometric Data Analysis (9 papers). Ery Arias-Castro is often cited by papers focused on Bayesian Methods and Mixture Models (13 papers), Statistical Methods and Inference (13 papers) and Topological and Geometric Data Analysis (9 papers). Ery Arias-Castro collaborates with scholars based in United States, France and Netherlands. Ery Arias-Castro's co-authors include David L. Donoho, Emmanuel J. Candès, Jan Kleissl, Matthew Lave, Xiaoming Huo, Nicolas Verzélen, Yaniv Plan, Arnaud Durand, Mark A. Davenport and Gilad Lerman and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and IEEE Transactions on Information Theory.

In The Last Decade

Ery Arias-Castro

55 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ery Arias-Castro 540 318 239 166 160 60 1.5k
Bertrand Michel 293 0.5× 151 0.5× 93 0.4× 69 0.4× 22 0.1× 34 1.3k
Kristiaan Pelckmans 510 0.9× 179 0.6× 183 0.8× 139 0.8× 13 0.1× 91 1.5k
Fabrice Rossi 692 1.3× 128 0.4× 366 1.5× 32 0.2× 42 0.3× 80 2.1k
Umberto Amato 247 0.5× 121 0.4× 214 0.9× 103 0.6× 74 0.5× 102 1.4k
Chong Gu 440 0.8× 1.0k 3.2× 142 0.6× 148 0.9× 10 0.1× 48 2.1k
Ben Hambly 129 0.2× 215 0.7× 43 0.2× 39 0.2× 19 0.1× 94 1.8k
J. Leroy Folks 364 0.7× 1.0k 3.2× 39 0.2× 78 0.5× 22 0.1× 30 2.4k
P. V. Rao 223 0.4× 272 0.9× 127 0.5× 57 0.3× 8 0.1× 143 2.0k
Sadanori Konishi 468 0.9× 894 2.8× 123 0.5× 51 0.3× 9 0.1× 88 1.9k
V́ıctor Elvira 799 1.5× 358 1.1× 94 0.4× 56 0.3× 15 0.1× 94 1.6k

Countries citing papers authored by Ery Arias-Castro

Since Specialization
Citations

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

Fields of papers citing papers by Ery Arias-Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ery Arias-Castro. 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 Ery Arias-Castro. The network helps show where Ery Arias-Castro may publish in the future.

Co-authorship network of co-authors of Ery Arias-Castro

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

All Works

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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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2026