World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
33
Citations
9154
World Ranking
2983
National Ranking
174

Frédéric Ferraty 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 Frédéric Ferraty 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: 97 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Frédéric Ferraty 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 Frédéric Ferraty 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: 33 D-Index — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Overview

Frédéric Ferraty is affiliated with the University of Toulouse-Jean Jaurès in France. Their research spans several interconnected fields, including Mathematics, Agricultural and Biological Sciences, and Computer Science.

The scientist's work includes a focus on the subfields of Statistics and Probability, Artificial Intelligence, Insect Science, Ecology, Evolution, Behavior and Systematics, and Biomedical Engineering. This diverse expertise is reflected in the range of topics they address, such as Statistical Methods and Inference, Bayesian Methods and Mixture Models, Advanced Statistical Methods and Models, Forensic Entomology and Diptera Studies, Insect behavior and control techniques, Entomological Studies and Ecology, and Neural Networks and Applications.

Recent publications by Frédéric Ferraty demonstrate an engagement with applied statistics and functional data analysis. Notable papers include:

  • "Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology," 2023, Journal of the Royal Statistical Society Series C (Applied Statistics)
  • "Scalar-on-function local linear regression and beyond," 2021, Biometrika
  • "2nd Special issue on Functional Data Analysis," 2021, Econometrics and Statistics
  • "Editorial for the 2nd special issue on high-dimensional and functional data analysis," 2023, Computational Statistics & Data Analysis

Frequent collaborators include:

  • Davide Pigoli
  • John A. D. Aston
  • Anjali Mazumder
  • C. S. Richards
  • M. J. R. Hall

Frédéric Ferraty's work has been published in a variety of journals with specialized focus areas, reflecting the breadth of their research interests and interdisciplinary approach. These venues include the Journal of the Royal Statistical Society Series C (Applied Statistics), Biometrika, Econometrics and Statistics, and Computational Statistics & Data Analysis.

Best Publications

  • Nonparametric functional data analysis : theory and practice

    Frédéric Ferraty;Philippe Vieu

  • Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)

    Frédéric Ferraty;Philippe Vieu

  • Functional linear model

    Hervé Cardot;Frédéric Ferraty;Pascal Sarda

  • Curves discrimination: a nonparametric functional approach

    Frédéric Ferraty;Frédéric Ferraty;Philippe Vieu

  • The Functional Nonparametric Model and Application to Spectrometric Data

    Frédéric Ferraty;Philippe Vieu

  • The Oxford Handbook of Functional Data Analysis

    Frédéric Ferraty;Y Romain

  • Nonparametric regression on functional data: inference and practical aspects

    Frédéric Ferraty;André Mas;Philippe Vieu

  • Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination

    F. Ferraty;P. Vieu

  • Testing hypotheses in the functional linear model

    Hervé Cardot;Frédéric Ferraty;André Mas;Pascal Sarda

  • Rate of uniform consistency for nonparametric estimates with functional variables

    Frédéric Ferraty;Ali Laksaci;Amel Tadj;Philippe Vieu

  • k-Nearest Neighbour method in functional nonparametric regression

    Florent Burba;Frédéric Ferraty;Philippe Vieu

  • Estimating Some Characteristics of the Conditional Distribution in Nonparametric Functional Models

    Frédéric Ferraty;Ali Laksaci;Philippe Vieu

  • Conditional Quantiles for Dependent Functional Data with Application to the Climatic El Niño Phenomenon

    Frédéric Ferraty;Algeria Philippe Vieu

  • Locally modelled regression and functional data

    J. Barrientos-Marin;Frédéric Ferraty;Philippe Vieu

  • Cross-validated estimations in the single-functional index model

    Ahmed Ait-Saïdi;Frédéric Ferraty;Rabah Kassa;Philippe Vieu

  • Simultaneous non-parametric regressions of unbalanced longitudinal data

    Philippe C. Besse;Hervé Cardot;Frédéric Ferraty

  • Local smoothing regression with functional data

    K. Benhenni;F. Ferraty;M. Rachdi;P. Vieu

  • Regression when both response and predictor are functions

    F. Ferraty;I. Van Keilegom;P. Vieu

  • Additive prediction and boosting for functional data

    Frédéric Ferraty;Philippe Vieu

  • Most-predictive design points for functional data predictors

    Frédéric Ferraty;P. Hall;Philippe Vieu

Frequent Co-Authors

Philippe Vieu
Philippe Vieu Paul Sabatier University
Piotr Kokoszka
Piotr Kokoszka Colorado State University

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