World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4639
World Ranking
13570
National Ranking
357

Pierre Borgnat publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Pierre Borgnat sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Pierre Borgnat D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Pierre Borgnat sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Pierre Borgnat is affiliated with the École Normale Supérieure de Lyon in France and has contributed extensively to research in computer science and physics and astronomy. Their work spans various subfields including artificial intelligence, statistical and nonlinear physics, molecular biology, cognitive neuroscience, and computer vision and pattern recognition.

The scientist's research topics cover a range of themes such as complex network analysis techniques, advanced graph neural networks, functional brain connectivity studies, gene expression and cancer classification, bioinformatics and genomic networks, meteorological phenomena and simulations, and climate variability and models.

Among notable recent publications are:

  • Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data (2023), published in Physical Review Fluids
  • Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization (2020), published in PLoS ONE
  • Harmonic analysis on directed graphs and applications: From Fourier analysis to wavelets (2022), published in Applied and Computational Harmonic Analysis
  • Variational graph autoencoders for multiview canonical correlation analysis (2021), published in Signal Processing
  • Deep Learning-Based Extreme Heatwave Forecast (2022), published in Frontiers in Climate

Borgnat frequently publishes in venues such as arXiv, PLoS ONE, Physical Review Fluids, Applied and Computational Harmonic Analysis, and Signal Processing. The majority of publications appear on arXiv, with at least eleven entries.

Collaborations form a significant part of Borgnat's research activity. Frequent co-authors include:

  • Patrice Abry
  • Rémi Gribonval
  • Paulo Gonçalvès
  • Pablo Jensen
  • Yacouba Kaloga

Best Publications

  • MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking

    Romain Fontugne;Pierre Borgnat;Patrice Abry;Kensuke Fukuda

  • SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE

    Pierre Borgnat;Céline Robardet;Jean-Baptiste Rouquier;Patrice Abry

  • Seven Years and One Day: Sketching the Evolution of Internet Traffic

    P. Borgnat;G. Dewaele;K. Fukuda;P. Abry

  • Time-Frequency Energy Distributions Meet Compressed Sensing

    Patrick Flandrin;Pierre Borgnat

  • Non-Gaussian and Long Memory Statistical Characterizations for Internet Traffic with Anomalies

    A. Scherrer;N. Larrieu;P. Owezarski;P. Borgnat

  • Graph Wavelets for Multiscale Community Mining

    Nicolas Tremblay;Pierre Borgnat

  • Extracting hidden anomalies using sketch and non Gaussian multiresolution statistical detection procedures

    Guillaume Dewaele;Kensuke Fukuda;Pierre Borgnat;Patrice Abry

  • Testing Stationarity With Surrogates: A Time-Frequency Approach

    Pierre Borgnat;Patrick Flandrin;Paul Honeine;Cédric Richard

  • The Sliding Singular Spectrum Analysis: A Data-Driven Nonstationary Signal Decomposition Tool

    Jinane Harmouche;Dominique Fourer;Francois Auger;Pierre Borgnat

  • Description and simulation of dynamic mobility networks

    A. Scherrer;P. Borgnat;E. Fleury;J. L. Guillaume

  • From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset

    Marie Vogel;Ronan Hamon;Guillaume Lozenguez;Luc Merchez

  • Strip, bind, and search: a method for identifying abnormal energy consumption in buildings

    Romain Fontugne;Jorge Ortiz;Nicolas Tremblay;Pierre Borgnat

  • Trend filtering via empirical mode decompositions

    Azadeh Moghtaderi;Patrick Flandrin;Pierre Borgnat

  • Subgraph-Based Filterbanks for Graph Signals

    Nicolas Tremblay;Pierre Borgnat

  • Scaling in Internet Traffic: A 14 Year and 3 Day Longitudinal Study, With Multiscale Analyses and Random Projections

    Romain Fontugne;Patrice Abry;Kensuke Fukuda;Darryl Veitch

  • Design of Graph Filters and Filterbanks

    Nicolas Tremblay;Paulo Gonçalves;Pierre Borgnat

  • Investigating self-similarity and heavy-tailed distributions on a large-scale experimental facility

    Patrick Loiseau;Paulo Gonçalves;Guillaume Dewaele;Pierre Borgnat

  • Revisiting an old friend: on the observability of the relation between long range dependence and heavy tail

    Patrice Abry;Pierre Borgnat;Fabio Ricciato;Antoine Scherrer

  • From Stationarity to Self-similarity, and Back: Variations on the Lamperti Transformation

    Patrick Flandrin;Pierre Borgnat;Pierre-Olivier Amblard

  • Stochastic discrete scale invariance

    P. Borgnat;P. Flandrin;P.-O. Amblard

  • Online Empirical Mode Decomposition

    Romain Fontugne;Pierre Borgnat;Patrick Flandrin

Frequent Co-Authors

Patrice Abry
Patrice Abry École Normale Supérieure de Lyon
Patrick Flandrin
Patrick Flandrin École Normale Supérieure de Lyon
Cedric Richard
Cedric Richard Université Côte d'Azur
Paul Honeine
Paul Honeine University of Rouen
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Darryl Veitch
Darryl Veitch University of Technology Sydney
Ashish Bhaskar
Ashish Bhaskar Queensland University of Technology
Stéphane Roux
Stéphane Roux École Normale Supérieure Paris-Saclay
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Alain Barrat
Alain Barrat Centre de Physique Théorique

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying computer science online opens up a world of flexible educational options and diverse career paths. Many students start with online associate degree programs in computer science. These programs provide foundational knowledge and an affordable path for those just beginning their academic journey or looking to transfer to a four-year degree later.

Cost is often a major factor for students. Exploring affordable online colleges can help reduce tuition expenses while still offering accredited and reputable computer science degrees. If you’re concerned about prior academic performance, many universities for low gpa students also offer excellent online programs, making higher education more accessible.

Career pathways for computer science graduates are vast, from software engineering to data science and more. For students interested in interdisciplinary areas, there are also robust opportunities—similar to some of the jobs for environmental science majors—where computing skills can be applied in fields like environmental technology, healthcare, or business analytics.

Best Scientists Citing Pierre Borgnat

Trending Scientists

Recently Published Articles