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Fabrice Gamboa 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 Fabrice Gamboa 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.

Fabrice Gamboa 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 Fabrice Gamboa 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.

Overview

Fabrice Gamboa is affiliated with the Federal University of Toulouse Midi-Pyrénées in France. Their research spans the fields of mathematics and engineering, with a focus on statistics, probability, and uncertainty, as well as artificial intelligence and control systems.

Their main areas of study include:

  • Mathematics
  • Engineering

The subfields of Gamboa's work cover:

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Theory and Mathematics

Key research topics addressed by Gamboa include:

  • Probabilistic and Robust Engineering Design
  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Advanced Multi-Objective Optimization Algorithms
  • Optimal Experimental Design Methods
  • Fault Detection and Control Systems
  • Control Systems and Identification

Recent publications authored or coauthored by Fabrice Gamboa highlight contributions to sensitivity analysis and statistical methodology. Notable works include:

  • Global sensitivity analysis: A novel generation of mighty estimators based on rank statistics, 2022, Bernoulli
  • Basics and Trends in Sensitivity Analysis, 2021, Society for Industrial and Applied Mathematics eBooks (coauthored by Sébastien da Veiga)
  • A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques, 2021, Journal of Marine Science and Engineering (coauthored by Déborah Idier)
  • Fairness seen as global sensitivity analysis, 2022, Machine Learning (coauthored by Clément Bénesse)
  • Human liver microbiota modeling strategy at the early onset of fibrosis, 2023, BMC Microbiology (coauthored by Camille Champion)

Gamboa's frequent collaborators include:

  • Bertrand Iooss (15 joint publications)
  • Jean-Michel Loubès (11 joint publications)
  • Thierry Klein (8 joint publications)
  • Nicolás Bousquet (8 joint publications)
  • Olivier Roustant (6 joint publications)

The scientist has published extensively in venues such as:

  • arXiv (Cornell University)
  • Electronic Journal of Statistics
  • International Journal for Uncertainty Quantification
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Bernoulli

Best Publications

  • Exact reconstruction using Beurling minimal extrapolation

    Yohann de Castro;Fabrice Gamboa

  • Generalized Hoeffding-Sobol Decomposition for Dependent Variables -Application to Sensitivity Analysis

    Gaëlle Chastaing;Fabrice Gamboa;Clémentine Prieur

  • Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs

    Sebastien Da Veiga;Sebastien Da Veiga;Francois Wahl;Fabrice Gamboa

  • Spike detection from inaccurate samplings

    Jean-Marc Azaïs;Yohann de Castro;Fabrice Gamboa

  • BAYESIAN METHODS AND MAXIMUM ENTROPY FOR ILL-POSED INVERSE PROBLEMS

    F. Gamboa;E. Gassiat

  • Large deviations for quadratic forms of stationary Gaussian processes

    B. Bercu;F. Gamboa;A. Rouault

  • Maximum d'entropie et problème des moments

    Didier Dacunha-Castelle;Fabrice Gamboa

  • Sensitivity indices for multivariate outputs

    Fabrice Gamboa;Alexandre Janon;Thierry Klein;Agnès Lagnoux

  • Sensitivity analysis for multidimensional and functional outputs

    Fabrice Gamboa;Alexandre Janon;Thierry Klein;Thierry Klein;Agnès Lagnoux

  • Statistical inference for Sobol pick-freeze Monte Carlo method

    Fabrice Gamboa;Alexandre Janon;Thierry Klein;Agnes Lagnoux-Renaudie

  • Generalized Sobol sensitivity indices for dependent variables: numerical methods

    Gaelle Chastaing;Clémentine Prieur;Fabrice Gamboa

  • Semi-parametric estimation of shifts

    Fabrice Gamboa;Jean-Michel Loubes;Jean-Michel Loubes;Elie Maza

  • Exact Solutions to Super Resolution on Semi-Algebraic Domains in Higher Dimensions

    Yohann De Castro;F. Gamboa;Didier Henrion;J.-B. Lasserre

  • Density modification-based reliability sensitivity analysis

    Paul Lemaître;Ekatarina Sergienko;Aurélie Arnaud;Nicolas Bousquet

  • Sensitivity analysis based on Cramér von Mises distance

    Fabrice Gamboa;Thierry Klein;Agnès Lagnoux

  • Sharp large deviations for gaussian quadratic forms with applications

    Bernard Bercu;Fabrice Gamboa;Marc Lavielle

  • Basics and Trends in Sensitivity Analysis: Theory and Practice in R

    Sébastien Da Veiga;Fabrice Gamboa;Bertrand Iooss;Clémentine Prieur

  • Exact solutions to Super Resolution on semi-algebraic domains in higher dimensions

    Y De Castro;F Gamboa;D Henrion;J.-B Lasserre

  • Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests

    Matieyendou Lamboni;Bertrand Iooss;Anne-Laure Popelin;Fabrice Gamboa

  • Sensitivity analysis based on Cram{'e}r von Mises distance

    Fabrice Gamboa;Thierry Klein;Agnès Lagnoux

Frequent Co-Authors

Didier Henrion
Didier Henrion Laboratory for Analysis and Architecture of Systems
Jean B. Lasserre
Jean B. Lasserre Laboratory for Analysis and Architecture of Systems
Holger Dette
Holger Dette Ruhr University Bochum
Philippe Ciuciu
Philippe Ciuciu French Institute for Research in Computer Science and Automation - INRIA
Déborah Idier
Déborah Idier Bureau de Recherches Géologiques et Minières
Bruno Sudret
Bruno Sudret ETH Zurich
José Manuel Fernández-Real
José Manuel Fernández-Real University of Girona
Massimo Federici
Massimo Federici University of Rome Tor Vergata
Josselin Garnier
Josselin Garnier École Polytechnique

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