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Ery Arias-Castro publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Ery Arias-Castro sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

The last bar groups every scientist with 537 publications or more.

Ery Arias-Castro D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Ery Arias-Castro sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2009 - Hellman Fellow

Overview

Ery Arias-Castro is affiliated with the University of California, San Diego in the United States. Their research primarily lies within the field of Computer Science, with a focus on several subfields, including Artificial Intelligence, Statistics and Probability, Computational Theory and Mathematics, Signal Processing, and Control and Systems Engineering.

The main topics addressed in their work include:

  • Statistical Methods and Inference
  • Topological and Geometric Data Analysis
  • Advanced Clustering Algorithms Research
  • Control Systems and Identification
  • Anomaly Detection Techniques and Applications
  • Bayesian Methods and Mixture Models
  • Complex Network Analysis Techniques

Ery Arias-Castro has published extensively, with recent papers spanning several years and venues:

  • "Is It Easier to Count Communities Than Find Them?" (2023), published in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "On the estimation of latent distances using graph distances" (2021), Electronic Journal of Statistics
  • "The sparse variance contamination model" (2020), Statistics
  • "Template Matching and Change Point Detection by M-Estimation" (2021), IEEE Transactions on Information Theory
  • "A scan procedure for multiple testing: Beyond threshold-type procedures" (2020), Journal of Statistical Planning and Inference

Frequent co-authors collaborating with Arias-Castro include Wanli Qiao, Zheng Yan Lin, Clément Berenfeld, Phong Alain Chau, and Ivo V. Stoepker. These collaborations reflect a network of joint research within their fields of expertise.

Their work is commonly published in venues such as:

  • arXiv (Cornell University)
  • Electronic Journal of Statistics
  • SIAM Journal on Mathematics of Data Science
  • Information and Inference A Journal of the IMA
  • The Annals of Statistics

In addition to journal articles, Ery Arias-Castro has contributed to academic literature through book publications. Notably, they authored "Principles of Statistical Analysis" (2022), published by Cambridge University Press.

They have been recognized with the Hellman Fellow award in 2009.

Best Publications

  • Does median filtering truly preserve edges better than linear filtering

    Ery Arias-Castro;David L. Donoho

  • High-frequency irradiance fluctuations and geographic smoothing

    Matthew Lave;Jan Kleissl;Ery Arias-Castro

  • Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism

    Ery Arias-Castro;Emmanuel J. Candès;Yaniv Plan

  • Near-optimal detection of geometric objects by fast multiscale methods

    E. Arias-Castro;D.L. Donoho;Xiaoming Huo

  • Detection of an anomalous cluster in a network

    Ery Arias-Castro;Emmanuel J. Candès;Arnaud Durand

  • On the Fundamental Limits of Adaptive Sensing

    E. Arias-Castro;E. J. Candes;M. A. Davenport

  • Community detection in dense random networks

    Ery Arias-Castro;Nicolas Verzelen

  • Searching for a trail of evidence in a maze

    Ery Arias-Castro;Emmanuel J. Candès;Hannes Helgason;Ofer Zeitouni

  • On the estimation of the gradient lines of a density and the consistency of the mean-shift algorithm

    Ery Arias-Castro;David Mason;Bruno Pelletier

  • Spectral clustering based on local linear approximations

    Ery Arias-Castro;Guangliang Chen;Gilad Lerman

  • A super-class walk on upper-triangular matrices

    Ery Arias-Castro;Persi Diaconis;Richard Stanley

  • Spectral clustering based on local PCA

    Ery Arias-Castro;Gilad Lerman;Teng Zhang

  • Discrete False-Discovery Rate Improves Identification of Differentially Abundant Microbes

    Lingjing Jiang;Amnon Amir;James T. Morton;Ruth Heller

  • Community detection in sparse random networks

    Nicolas Verzelen;Ery Arias-Castro

  • A Poisson model for anisotropic solar ramp rate correlations

    Ery Arias-Castro;Jan Kleissl;Matthew Lave

  • Distribution-free multiple testing

    Ery Arias-Castro;Shiyun Chen

  • Detection of correlations

    Ery Arias-Castro;Sébastien Bubeck;Gábor Lugosi

  • Adaptive multiscale detection of filamentary structures embedded in a background of uniform random points

    Ery Arias-Castro;David L. Donoho;Xiaoming Huo

  • Community Detection in Random Networks

    Ery Arias-Castro;Nicolas Verzelen

  • Community Detection in Sparse Random Networks

    Ery Arias-Castro;Nicolas Verzelen

Frequent Co-Authors

Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
Emmanuel J. Candès
Emmanuel J. Candès Stanford University
David L. Donoho
David L. Donoho Stanford University
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Rui Castro
Rui Castro Eindhoven University of Technology
Mark A. Davenport
Mark A. Davenport Georgia Institute of Technology
Rebecca Willett
Rebecca Willett University of Chicago
Venkatesh Saligrama
Venkatesh Saligrama Boston University
Jan Kleissl
Jan Kleissl University of California, San Diego
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science

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