World's Best Scientists 2026 revealed!
Isabelle Merlet

Isabelle Merlet

D-Index & Metrics

Neuroscience

D-Index
34
Citations
4376
World Ranking
9349
National Ranking
456

Isabelle Merlet publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Isabelle Merlet sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 101 publications — 17th percentile

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

The last bar groups every scientist with 887 publications or more.

Isabelle Merlet D-index placement in Neuroscience in 2026

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

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 34 D-Index — 4th percentile

4% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Isabelle Merlet is affiliated with the University of Rennes in France, specializing in the field of neuroscience with a focus on cognitive neuroscience. Their research spans multiple subfields including neurology, cellular and molecular neuroscience, clinical psychology, and experimental and cognitive psychology. The primary scientific topics covered in their work include EEG and brain-computer interfaces, neural dynamics and brain function, functional brain connectivity studies, neuroscience and music perception, neurological disorders and treatments, neuroscience and neuropharmacology research, and transcranial magnetic stimulation studies.

The scientific output of Isabelle Merlet includes publications in several peer-reviewed journals, with a notable presence in Clinical Neurophysiology, which features four of their papers. Other journals where their work has appeared are PLoS Biology, Journal of Computational Neuroscience, Journal of Neural Engineering, and Revue Neurologique.

Recent papers authored or coauthored by Isabelle Merlet are:

  • "Selective enhancement of low-gamma activity by tACS improves phonemic processing and reading accuracy in dyslexia" (2020, PLoS Biology)
  • "Multiscale neuro-inspired models for interpretation of EEG signals in patients with epilepsy" (2024, Clinical Neurophysiology)
  • "Modelling acute and lasting effects of tDCS on epileptic activity" (2020, Journal of Computational Neuroscience)
  • "Signal processing and computational modeling for interpretation of SEEG-recorded interictal epileptiform discharges in epileptogenic and non-epileptogenic zones" (2022, Journal of Neural Engineering)
  • "EEG changes induced by meditative practices: State and trait effects in healthy subjects and in patients with epilepsy" (2024, Revue Neurologique)

Frequently collaborated coauthors include Fabrice Wendling (8 collaborations), Pascal Benquet (7 collaborations), Elif Köksal Ersöz (6 collaborations), Fabrice Bartolomei (5 collaborations), and Maxime Yochum (4 collaborations).

The research conducted by Isabelle Merlet often addresses the analysis and interpretation of EEG data, exploring neural mechanisms underlying cognitive and neurological processes. Their work also involves computational modeling applied to epilepsy and brain stimulation techniques such as transcranial alternating current stimulation (tACS) and transcranial direct current stimulation (tDCS).

Best Publications

  • Activation of a distributed somatosensory cortical network in the human brain. A dipole modelling study of magnetic fields evoked by median nerve stimulation. Part I: Location and activation timing of SEF sources.

    F Mauguière;I Merlet;N Forss;S Vanni

  • EEG Source Connectivity Analysis: From Dense Array Recordings to Brain Networks

    Mahmoud Hassan;Olivier Dufor;Isabelle Merlet;Claude Berrou

  • Removal of muscle artifact from EEG data: comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches

    Doha Safieddine;Doha Safieddine;Amar Kachenoura;Amar Kachenoura;Laurent Albera;Laurent Albera;Gwénaël Birot;Gwénaël Birot

  • Transcranial Current Brain Stimulation (tCS): Models and Technologies

    Giulio Ruffini;Fabrice Wendling;Isabelle Merlet;Behnam Molaee-Ardekani

  • 5-HT1A receptor binding and intracerebral activity in temporal lobe epilepsy: an [18F]MPPF-PET study.

    Isabelle Merlet;Karine Ostrowsky;Nicolas Costes;Philippe Ryvlin

  • Activation of a distributed somatosensory cortical network in the human brain: a dipole modelling study of magnetic fields evoked by median nerve stimulation. Part II: effects of stimulus rate, attention and stimulus detection

    F Mauguière;I Merlet;N Forss;S Vanni

  • Reliability of dipole models of epileptic spikes

    I Merlet;J Gotman

  • ICA-based EEG denoising: a comparative analysis of fifteen methods

    Laurent Albera;Amar Kachenoura;Pierre Comon;Ahmad Karfoul

  • A 18F-MPPF PET Normative Database of 5-HT1A Receptor Binding in Men and Women Over Aging

    Nicolas Costes;Isabelle Merlet;Karine Ostrowsky;Isabelle Faillenot

  • Effects of transcranial Direct Current Stimulation (tDCS) on cortical activity: A computational modeling study

    Behnam Molaee-Ardekani;Javier Márquez-Ruiz;Isabelle Merlet;Isabelle Merlet;Rocio Leal-Campanario

  • EEG extended source localization: Tensor-based vs. conventional methods.

    Hanna Becker;Laurent Albera;Laurent Albera;Laurent Albera;Pierre Comon;Martin Haardt

  • Emotion Recognition Based on High-Resolution EEG Recordings and Reconstructed Brain Sources

    Hanna Becker;Julien Fleureau;Philippe Guillotel;Fabrice Wendling

  • Source propagation of interictal spikes in temporal lobe epilepsy. Correlations between spike dipole modelling and [18F]fluorodeoxyglucose PET data.

    I. Merlet;L. Garcia–Larrea;M. C. Grégoire;F. Lavenne

  • Activation of human mesial cortex during somatosensory target detection task

    Nina Forss;Isabelle Merlet;Simo Vanni;Matti Ha¨ma¨la¨inen

  • Brain-Source Imaging: From sparse to tensor models

    Hanna Becker;Laurent Albera;Pierre Comon;Remi Gribonval

  • The neuronal sources of EEG: Modeling of simultaneous scalp and intracerebral recordings in epilepsy

    Delphine Cosandier-Rimélé;Isabelle Merlet;Isabelle Merlet;Jean-Michel Badier;Jean-Michel Badier;Patrick Chauvel;Patrick Chauvel

  • Dipole modeling of scalp electroencephalogram epileptic discharges: correlation with intracerebral fields.

    I Merlet;J Gotman

  • From oscillatory transcranial current stimulation to scalp EEG changes: a biophysical and physiological modeling study.

    Isabelle Merlet;Isabelle Merlet;Gwénaël Birot;Gwénaël Birot;Ricardo Salvador;Behnam Molaee-Ardekani;Behnam Molaee-Ardekani

  • Identification of Interictal Epileptic Networks from Dense-EEG.

    Mahmoud Hassan;Isabelle Merlet;Isabelle Merlet;Ahmad Mheich;Ahmad Mheich;Ahmad Mheich;Aya Kabbara;Aya Kabbara;Aya Kabbara

  • PET imaging of brain 5-HT1A receptors in the preoperative evaluation of temporal lobe epilepsy.

    Adrien Didelot;Philippe Ryvlin;Amélie Lothe;Isabelle Merlet;Isabelle Merlet

  • Receptor Binding in Men and Women Over Aging

    Nicolas Costes;Isabelle Merlet;Karine Ostrowsky;Isabelle Faillenot

Frequent Co-Authors

Fabrice Wendling
Fabrice Wendling University of Rennes
François Mauguière
François Mauguière Claude Bernard University Lyon 1
Pierre Comon
Pierre Comon Grenoble Alpes University
Philippe Ryvlin
Philippe Ryvlin University Hospital of Lausanne
Giulio Ruffini
Giulio Ruffini Light Prescriptions Innovators (Spain)
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Nicolas Costes
Nicolas Costes Grenoble Alpes University
Jean Gotman
Jean Gotman Montreal Neurological Institute and Hospital
Nina Forss
Nina Forss University of Helsinki
Riitta Hari
Riitta Hari Aalto University

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