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François Chapeau-Blondeau

François Chapeau-Blondeau

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5081
World Ranking
8737
National Ranking
206

François Chapeau-Blondeau publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where François Chapeau-Blondeau sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 245 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

François Chapeau-Blondeau D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where François Chapeau-Blondeau sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

François Chapeau-Blondeau is affiliated with the University of Angers in France. Their research contributes to the fields of Computer Science and Physics and Astronomy, with substantial work at the intersection of Artificial Intelligence and Statistical and Nonlinear Physics. Additional subfields include Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, and Computer Networks and Communications.

The scientist's research topics cover a diverse range of areas such as stochastic dynamics and bifurcation, Quantum Information and Cryptography, Quantum Computing Algorithms and Architecture, Quantum Mechanics and Applications, Neural Networks and Applications, Neural dynamics and brain function, and Distributed Sensor Networks and Detection Algorithms.

Recent papers authored by François Chapeau-Blondeau include the following:

  • "Noisy quantum metrology with the assistance of indefinite causal order" (2021), published in Physical Review A
  • "Quantum parameter estimation on coherently superposed noisy channels" (2021), published in Physical Review A
  • "Indefinite causal order for quantum metrology with quantum thermal noise" (2022), published in Physics Letters A

The scientist frequently publishes in the following venues:

  • Physics Letters A
  • Physical Review E
  • Fluctuation and Noise Letters
  • Physical Review A
  • IEEE Transactions on Instrumentation and Measurement

Collaborative work is a significant part of their academic activity, with frequent co-authors including Fabing Duan, Derek Abbott, Yan Pan, Lingling Duan, and Yuhao Ren.

Best Publications

  • On the use of depth camera for 3D phenotyping of entire plants

    Yann Chéné;David Rousseau;Philippe Lucidarme;Jessica Bertheloot

  • Numerical evaluation of the Lambert W function and application to generation of generalized Gaussian noise with exponent 1/2

    F. Chapeau-Blondeau;A. Monir

  • Theory of stochastic resonance in signal transmission by static nonlinear systems

    Fraņcois Chapeau-Blondeau;Xavier Godivier

  • Noise-enhanced capacity via stochastic resonance in an asymmetric binary channel

    Fraņcois Chapeau-Blondeau

  • A neural network model of the cerebellar cortex performing dynamic associations

    F. Chapeau-Blondeau;G. Chauvet

  • Stochastic resonance in a neuron model that transmits spike trains

    François Chapeau-Blondeau;Xavier Godivier;Nicolas Chambet

  • Input-output gains for signal in noise in stochastic resonance

    François Chapeau-Blondeau

  • Stochastic resonance in the information capacity of a nonlinear dynamic system

    Xavier Godivier;Franc Ois Chapeau-Blondeau

  • Noise-enhanced performance for an optimal Bayesian estimator

    F. Chapeau-Blondeau;D. Rousseau

  • Original Contribution: Stable, oscillatory, and chaotic regimes in the dynamics of small neural networks with delay

    François Chapeau-Blondeau;Gilbert Chauvet

  • Comparison of aperiodic stochastic resonance in a bistable system realized by adding noise and by tuning system parameters

    Bohou Xu;Fabing Duan;François Chapeau-Blondeau

  • Suprathreshold stochastic resonance and noise-enhanced Fisher information in arrays of threshold devices.

    David Rousseau;Fabing Duan;François Chapeau-Blondeau

  • Noise-enhanced nonlinear detector to improve signal detection in non-Gaussian noise

    David Rousseau;G. V. Anand;François Chapeau-Blondeau

  • Suprathreshold stochastic resonance and signal-to-noise ratio improvement in arrays of comparators

    David Rousseau;François Chapeau-Blondeau

  • Noise-assisted signal transmission in a nonlinear electronic comparator: experiment and theory

    Xavier Godivier;François Chapeau-Blondeau

  • Stochastic resonance for nonlinear sensors with saturation.

    David Rousseau;Julio Rojas Varela;François Chapeau-Blondeau

  • NOISE IMPROVEMENTS IN STOCHASTIC RESONANCE: FROM SIGNAL AMPLIFICATION TO OPTIMAL DETECTION

    François Chapeau-Blondeau;David Rousseau

  • Stochastic resonance and noise-enhanced transmission of spatial signals in optics: the case of scattering

    Fabrice Vaudelle;José Gazengel;Geneviève Rivoire;Xavier Godivier

  • Stochastic resonance and improvement by noise in optimal detection strategies

    David Rousseau;François Chapeau-Blondeau

  • Nonlinear test statistic to improve signal detection in non-Gaussian noise

    F. Chapeau-Blondeau

Frequent Co-Authors

Derek Abbott
Derek Abbott University of Adelaide
Paul Calès
Paul Calès University of Angers
Eric Maire
Eric Maire Institut National des Sciences Appliquées de Lyon

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