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D-Index & Metrics

Mathematics

D-Index
39
Citations
9748
World Ranking
2137
National Ranking
907

Silvia Ferrari 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 Silvia Ferrari 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+

This scientist: 195 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Silvia Ferrari 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 Silvia Ferrari 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+

This scientist: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Silvia Ferrari is affiliated with Cornell University in the United States and focuses primarily on research in mathematics. Within this broad field, their work concentrates on statistics and probability, with significant contributions across related areas such as statistics, probability and uncertainty, and aspects of clinical psychology.

The main topics explored in Ferrari's research include advanced statistical methods and models, statistical distribution estimation and applications, and statistical methods and inference. Additional focal points are advanced statistical process monitoring, eating disorders and behaviors, obsessive-compulsive spectrum disorders, as well as statistical methods and Bayesian inference.

Frequent coauthors collaborating with Ferrari include Francisco F. Queiroz, Felipe Q. da Luz, Mohammed Mohsin, Tatiana Abrão Jana, and Leticia S. Marinho.

Regular publication venues for Ferrari's work include Biometrical Journal, arXiv (Cornell University), Behavioral Sciences, Statistical Papers, and Metrika.

Recent papers authored or coauthored by Ferrari cover diverse applications within statistics and related fields:

  • An Examination of the Relationships between Eating-Disorder Symptoms, Difficulties with Emotion Regulation, and Mental Health in People with Binge Eating Disorder (2023, Behavioral Sciences)
  • Robust estimation in beta regression via maximum L$_q$-likelihood (2022, Statistical Papers)
  • Quantile modeling through multivariate log-normal/independent linear regression models with application to newborn data (2021, Biometrical Journal)
  • Power logit regression for modeling bounded data (2023, Statistical Modelling)
  • Robust beta regression through the logit transformation (2024, Metrika)

Best Publications

  • Beta Regression for Modelling Rates and Proportions

    Sílvia Lopes de Paula Ferrari;Francisco Cribari-Neto

  • A general class of zero-or-one inflated beta regression models

    Raydonal Ospina;Silvia L. P. Ferrari

  • Inflated beta distributions

    Raydonal Ospina;Silvia L. P. Ferrari

  • Smooth function approximation using neural networks

    S. Ferrari;R.F. Stengel

  • On beta regression residuals

    Patrícia L. Espinheira;Silvia L.P. Ferrari;Francisco Cribari-Neto

  • Information-Driven Sensor Path Planning by Approximate Cell Decomposition

    Chenghui Cai;S. Ferrari

  • A modified score test statistic having chi-squared distribution to order n−1

    Gauss M. Cordeiro;Silvia L. De Paula Ferrari

  • Online Adaptive Critic Flight Control

    Silvia Ferrari;Robert F. Stengel

  • Influence diagnostics in beta regression

    Patrícia L. Espinheira;Silvia L. P. Ferrari;Francisco Cribari-Neto

  • A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks

    Keith Rudd;Silvia Ferrari

  • Deep learning feature extraction for target recognition and classification in underwater sonar images

    Pingping Zhu;Jason Isaacs;Bo Fu;Silvia Ferrari

  • Mixed beta regression

    Jorge I. Figueroa-Zúñiga;Reinaldo B. Arellano-Valle;Silvia L.P. Ferrari

  • Constructing Bayesian networks for criminal profiling from limited data

    K. Baumgartner;S. Ferrari;G. Palermo

  • A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production

    John. D. Albertson;Tierney Harvey;Greg Foderaro;Pingping Zhu

  • Distributed optimal control for multi-agent trajectory optimization

    Greg Foderaro;Silvia Ferrari;Thomas A. Wettergren

  • An Information Roadmap Method for Robotic Sensor Path Planning

    G. Zhang;S. Ferrari;M. Qian

  • Improved heteroscedasticity‐consistent covariance matrix estimators

    Francisco Cribari‐Neto;Silvia L. P. Ferrari;Gauss M. Cordeiro

  • Improved Score Tests for Generalized Linear Models

    Gauss M. Cordeiro;Silvia L. de Paula Ferrari;Gilberto A. Paula

  • A Geometric Optimization Approach to Detecting and Intercepting Dynamic Targets Using a Mobile Sensor Network

    Silvia Ferrari;Rafael Fierro;Brent Perteet;Chenghui Cai

  • On the Bell distribution and its associated regression model for count data

    Fredy Castellares;Silvia L.P. Ferrari;Artur J. Lemonte

  • An adaptive critic global controller

    S. Ferrari;R.F. Stengel

Frequent Co-Authors

Francisco Cribari-Neto
Francisco Cribari-Neto Federal University of Pernambuco
Gauss M. Cordeiro
Gauss M. Cordeiro Federal University of Pernambuco
Rafael Fierro
Rafael Fierro University of New Mexico
Artur J. Lemonte
Artur J. Lemonte Federal University of Rio Grande do Norte
Robert F. Stengel
Robert F. Stengel Princeton University
Craig S. Henriquez
Craig S. Henriquez Duke University
John D. Albertson
John D. Albertson Cornell University
Marc A. Sommer
Marc A. Sommer Duke University
Tobias Egner
Tobias Egner Duke University

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