World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
5318
World Ranking
7780
National Ranking
172

Olivier Besson 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 Olivier Besson 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: 220 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Olivier Besson 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 Olivier Besson 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Olivier Besson is affiliated with the National Higher French Institute of Aeronautics and Space in France. Their research primarily spans the fields of Engineering and Computer Science, with a focus on several specialized subfields.

Besson's main areas of study include Aerospace Engineering and Signal Processing, supplemented by interests in Media Technology, Oceanography, and Statistics and Probability. The central topics in their work involve Radar Systems and Signal Processing, Direction-of-Arrival Estimation Techniques, Remote-Sensing Image Classification, Underwater Acoustics Research, Infrared Target Detection Methodologies, Advanced SAR Imaging Techniques, and Advanced Statistical Methods and Models.

The scientist has contributed extensively to academic journals and conferences. Frequent publication venues include Signal Processing, IEEE Signal Processing Letters, arXiv (Cornell University), IEEE Transactions on Signal Processing, and IEEE Transactions on Geoscience and Remote Sensing.

Selected recent papers authored or co-authored by Olivier Besson are:

  • Rao, Wald, and Gradient Tests for Adaptive Detection of Swerling I Targets, 2023, IEEE Transactions on Signal Processing
  • Adaptive Detection of Gaussian Rank-One Signals Using Adaptively Whitened Data and Rao, Gradient and Durbin Tests, 2023, IEEE Signal Processing Letters

Notably, Besson has also co-authored with other researchers in the field. Frequent co-authors include François Vincent, Éric Chaumette, Benjamin Gigleux, Stefania Matteoli, and Jordi Vilà-Valls.

Collaborative works with François Vincent stand out, with a number of publications featuring Vincent as the primary author on topics related to hyperspectral imaging and GNSS receiver positioning:

  • One-Step Generalized Likelihood Ratio Test for Subpixel Target Detection in Hyperspectral Imaging, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Doppler-aided positioning in GNSS receivers - A performance analysis, 2020, Signal Processing
  • Generalized likelihood ratio test for modified replacement model in hyperspectral imaging detection, 2020, Signal Processing

Olivier Besson's work frequently addresses statistical testing methods and detection techniques applied to hyperspectral imaging and signal processing, reflecting a detail-oriented approach to advanced analytical and computational challenges in these domains.

Best Publications

  • On parameter estimation of MIMO flat-fading channels with frequency offsets

    O. Besson;P. Stoica

  • Decoupled estimation of DOA and angular spread for a spatially distributed source

    O. Besson;P. Stoica

  • An Improved Parallel Multiple-point Algorithm Using a List Approach

    Unknown

  • Training sequence design for frequency offset and frequency-selective channel estimation

    P. Stoica;O. Besson

  • Approximate maximum likelihood estimators for array processing in multiplicative noise environments

    O. Besson;F. Vincent;P. Stoica;A.B. Gershman

  • A Bayesian Approach to Adaptive Detection in Nonhomogeneous Environments

    S. Bidon;O. Besson;J.-Y. Tourneret

  • An ABORT-Like Detector With Improved Mismatched Signals Rejection Capabilities

    F. Bandiera;O. Besson;G. Ricci

  • Knowledge-Aided Bayesian Detection in Heterogeneous Environments

    O. Besson;J.-Y. Tourneret;S. Bidon

  • GLRT-Based Direction Detectors in Homogeneous Noise and Subspace Interference

    F. Bandiera;O. Besson;D. Orlando;G. Ricci

  • Steering vector errors and diagonal loading

    François Vincent;Olivier Besson

  • Parameter estimation for random amplitude chirp signals

    O. Besson;M. Ghogho;A. Swami

  • On estimating the frequency of a sinusoid in autoregressive multiplicative noise

    Olivier Besson;Francis Castanié

  • Performance analysis of beamformers using generalized loading of the covariance matrix in the presence of random steering vector errors

    O. Besson;F. Vincent

  • Matched direction detectors and estimators for array processing with subspace steering vector uncertainties

    O. Besson;L.L. Scharf;F. Vincent

  • Knowledge-Aided Covariance Matrix Estimation and Adaptive Detection in Compound-Gaussian Noise

    Francesco Bandiera;Olivier Besson;Giuseppe Ricci

  • Adaptive Detection of a Signal Known Only to Lie on a Line in a Known Subspace, When Primary and Secondary Data are Partially Homogeneous

    O. Besson;L.L. Scharf;S. Kraut

  • On the Fisher Information Matrix for Multivariate Elliptically Contoured Distributions

    Olivier Besson;Yuri I. Abramovich

  • Estimation of directions of arrival of multiple scattered sources

    M. Ghogho;O. Besson;A. Swami

  • Adaptive Detection of Distributed Targets in Compound-Gaussian Noise Without Secondary Data: A Bayesian Approach

    F. Bandiera;O. Besson;G. Ricci

  • Sinusoidal signals with random amplitude: least-squares estimators and their statistical analysis

    O. Besson;P. Stoica

  • The Adaptive Coherence Estimator is the Generalized Likelihood Ratio Test for a Class of Heterogeneous Environments

    S. Bidon;O. Besson;J.-Y. Tourneret

Frequent Co-Authors

Petre Stoica
Petre Stoica Uppsala University
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Giuseppe Ricci
Giuseppe Ricci University of Salento
Louis L. Scharf
Louis L. Scharf Colorado State University
Danilo Orlando
Danilo Orlando IEEE Computer Society
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Fulvio Gini
Fulvio Gini University of Pisa
Hugh Griffiths
Hugh Griffiths University College London
Ananthram Swami
Ananthram Swami United States Army Research Laboratory

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