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Ghislaine Dehaene-Lambertz

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 65 3066 2802 111 101 164 23816

Ghislaine Dehaene-Lambertz publications per year

The chart shows the history of publications by Ghislaine Dehaene-Lambertz between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ghislaine Dehaene-Lambertz published across 38 years, from 1988 to 2025, averaging 5.9 papers a year. Output peaked at 21 publications in 2022. 28 of the 225 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2022. 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 2 publications 1995: 0 publications 1996: 1 publication 1997: 5 publications 1998: 6 publications 1999: 0 publications 2000: 4 publications 2001: 2 publications 2002: 4 publications 2003: 1 publication 2004: 3 publications 2005: 2 publications 2006: 7 publications 2007: 3 publications 2008: 5 publications 2009: 5 publications 2010: 3 publications 2011: 5 publications 2012: 13 publications 2013: 5 publications 2014: 12 publications 2015: 11 publications 2016: 13 publications 2017: 9 publications 2018: 10 publications 2019: 10 publications 2020: 9 publications 2021: 13 publications 2022: 21 publications 2023: 12 publications 2024: 13 publications 2025: 15 publications
1988 2025

225 publications in total across all disciplines

View publications per year as a table
Ghislaine Dehaene-Lambertz: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 0
1991 0
1992 0
1993 0
1994 2
1995 0
1996 1
1997 5
1998 6
1999 0
2000 4
2001 2
2002 4
2003 1
2004 3
2005 2
2006 7
2007 3
2008 5
2009 5
2010 3
2011 5
2012 13
2013 5
2014 12
2015 11
2016 13
2017 9
2018 10
2019 10
2020 9
2021 13
2022 21
2023 12
2024 13
2025 15
Total 225
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Ghislaine Dehaene-Lambertz 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 Ghislaine Dehaene-Lambertz sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 158–167 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 164 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397 164
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

Ghislaine Dehaene-Lambertz 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 Ghislaine Dehaene-Lambertz sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 64–65 D-Index, is where this scientist sits. 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
30–31 D-Index 163+

This scientist: 65 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278 65
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

Research.com Recognitions

  • 2016 - Grand Prix scientifique de la Fondation NRJ, Institut de France
  • 2015 - Member of Academia Europaea

Overview

Ghislaine Dehaene-Lambertz is affiliated with the Centre national de la recherche scientifique (CNRS) in France. Their academic work primarily spans the fields of neuroscience and psychology, with a notable emphasis on cognitive neuroscience and developmental and educational psychology. Additional subfields in which they have contributed include experimental and cognitive psychology, pharmacy, and signal processing.

Their research topics encompass a range of areas related to brain function and development, including language development and disorders, neuroscience and music perception, neural dynamics and brain function, child and animal learning development, reading and literacy development, multisensory perception and integration, and infant health and development.

Among recent scholarly papers authored or co-authored by Ghislaine Dehaene-Lambertz are the following:

  • A universal reading network and its modulation by writing system and reading ability in French and Chinese children (2020, eLife)
  • Spontaneous supra-modal encoding of number in the infant brain (2023, Current Biology)
  • Neural indicators of articulator-specific sensorimotor influences on infant speech perception (2021, Proceedings of the National Academy of Sciences)
  • Sleeping neonates track transitional probabilities in speech but only retain the first syllable of words (2022, Scientific Reports)
  • Automated Pipeline for Infants Continuous EEG (APICE): A flexible pipeline for developmental cognitive studies (2022, Developmental Cognitive Neuroscience)

Frequent co-authors collaborating with Ghislaine Dehaene-Lambertz include Lucas Benjamin, Ana Fló, Michèle Mazeau, Hervé Glasel, and Caroline Huron.

Key publication venues where their research has frequently appeared include bioRxiv (Cold Spring Harbor Laboratory), eLife, Developmental Cognitive Neuroscience, NeuroImage, and iScience.

Recognitions awarded include the Grand Prix scientifique de la Fondation NRJ, Institut de France in 2016 and membership in the Academia Europaea awarded in 2015.

Best Publications

  • The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients.

    Laurent Cohen;Stanislas Dehaene;Lionel Naccache;Stéphane Lehéricy

  • Imaging unconscious semantic priming

    Stanislas Dehaene;Lionel Naccache;Gurvan Le Clec'H;Etienne Koechlin

  • How Learning to Read Changes the Cortical Networks for Vision and Language

    Stanislas Dehaene;Felipe Pegado;Felipe Pegado;Lucia W. Braga;Paulo Ventura

  • Functional Neuroimaging of Speech Perception in Infants

    Ghislaine Dehaene-Lambertz;Stanislas Dehaene;Lucie Hertz-Pannier

  • Abstract representations of numbers in the animal and human brain

    Stanislas Dehaene;Ghislaine Dehaene-Lambertz;Laurent Cohen

  • The early development of brain white matter: A review of imaging studies in fetuses, newborns and infants

    Jessica Dubois;Ghislaine Dehaene-Lambertz;Sofya Kulikova;Cyril Poupon

  • Sounds and silence: An optical topography study of language recognition at birth

    Marcela Peña;Atsushi Maki;Damir Kovac̆ić;Ghislaine Dehaene-Lambertz

  • Electrophysiological correlates of categorical phoneme perception in adults.

    Ghislaine Dehaene-Lambertz

  • Functional organization of perisylvian activation during presentation of sentences in preverbal infants

    Ghislaine Dehaene-Lambertz;Lucie Hertz-Pannier;Jessica Dubois;Sébastien Mériaux

  • Asynchrony of the early maturation of white matter bundles in healthy infants: Quantitative landmarks revealed noninvasively by diffusion tensor imaging

    Jessica Dubois;Ghislaine Dehaene-Lambertz;Muriel Perrin;Jean-François Mangin

  • Speed and cerebral correlates of syllable discrimination in infants.

    Ghislaine Dehaene-Lambertz;Ghislaine Dehaene-Lambertz;Stanislas Dehaene;Stanislas Dehaene

  • Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: a feasibility study using quantitative diffusion tensor imaging and tractography.

    J. Dubois;L. Hertz-Pannier;G. Dehaene-Lambertz;Y. Cointepas

  • Electrophysiological Correlates of Phonological Processing: A Cross-linguistic Study

    G. Dehaene-lambertz;E. Dupoux;A. Gout

  • The Influence of Socioeconomic Status on Children's Brain Structure

    Katarzyna Jednoróg;Katarzyna Jednoróg;Irène Altarelli;Karla Monzalvo;Karla Monzalvo;Joel Victor Fluss

  • Distinct Cerebral Pathways for Object Identity and Number in Human Infants

    Véronique Izard;Ghislaine Dehaene-Lambertz;Stanislas Dehaene

  • Syllabic discrimination in premature human infants prior to complete formation of cortical layers.

    Mahdi Mahmoudzadeh;Ghislaine Dehaene-Lambertz;Ghislaine Dehaene-Lambertz;Marc Fournier;Guy Kongolo

  • Neural correlates of switching from auditory to speech perception.

    Ghislaine Dehaene-Lambertz;Christophe Pallier;Willy Serniclaes;Liliane Sprenger-Charolles

  • Language or music, mother or Mozart? Structural and environmental influences on infants' language networks.

    G. Dehaene-Lambertz;A. Montavont;A. Montavont;A. Jobert;A. Jobert;L. Allirol

  • The emergence of the visual word form: Longitudinal evolution of category-specific ventral visual areas during reading acquisition

    Ghislaine Dehaene-Lambertz;Karla Monzalvo;Stanislas Dehaene;Stanislas Dehaene

  • Structural Asymmetries in the Infant Language and Sensori-Motor Networks

    Jessica Dubois;Lucie Hertz-Pannier;A. Cachia;J. F. Mangin

  • A phonological representation in the infant brain.

    G Dehaene-Lambertz;Sylvain Baillet

Frequent Co-Authors

Stanislas Dehaene
Stanislas Dehaene Collège de France
Jessica Dubois
Jessica Dubois Université Paris Cité
Lucie Hertz-Pannier
Lucie Hertz-Pannier Université Paris Cité
Jean-François Mangin
Jean-François Mangin University of Paris-Saclay
Anne Christophe
Anne Christophe École Normale Supérieure
Antoinette Jobert
Antoinette Jobert Grenoble Alpes University
Vincent Frouin
Vincent Frouin University of Paris-Saclay
Franck Ramus
Franck Ramus École Normale Supérieure
Petra Susan Hüppi
Petra Susan Hüppi University of Geneva
Cyril Poupon
Cyril Poupon University of Paris-Saclay

External Links

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Related Online Degrees & Career Pathways

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When deciding on a path, it’s important to consider the long-term career and salary benefits. Neuroscience and related health science fields are often listed among the best bachelor degrees to get. These degrees typically lead to specialized roles that offer strong job growth and earning potential.

If you're interested in branching out, some interesting majors that pay well—such as computer science, biotechnology, or engineering—can complement a neuroscience background and greatly expand your career options.

Financing your studies is also more accessible than ever. Look for online college courses with financial aid to help reduce your tuition costs. Exploring these flexible online degrees and related pathways can open doors to both affordable learning and rewarding careers.

Best Scientists Citing Ghislaine Dehaene-Lambertz

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Publications: 236

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Publications: 67

Angela D. Friederici

Angela D. Friederici

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Publications: 61

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 56

Lionel Naccache

Lionel Naccache

Sorbonne University

Publications: 43

Minna Huotilainen

Minna Huotilainen

University of Helsinki

Publications: 42

Friedemann Pulvermüller

Friedemann Pulvermüller

Freie Universität Berlin

Publications: 41

Janet F. Werker

Janet F. Werker

University of British Columbia

Publications: 40

Tobias Grossmann

Tobias Grossmann

University of Virginia

Publications: 40

Kenneth R. Pugh

Kenneth R. Pugh

Haskins Laboratories

Publications: 37

Katrin Amunts

Katrin Amunts

Forschungszentrum Jülich

Publications: 37

Laurent D. Cohen

Laurent D. Cohen

Paris Dauphine University

Publications: 36

Philippe Ciuciu

Philippe Ciuciu

French Institute for Research in Computer Science and Automation - INRIA

Publications: 36

Jacques Mehler

Jacques Mehler

International School for Advanced Studies

Publications: 36

Nathalie Tzourio-Mazoyer

Nathalie Tzourio-Mazoyer

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Publications: 35

John D. E. Gabrieli

John D. E. Gabrieli

MIT

Publications: 34

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