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Leonardo Chelazzi

Leonardo Chelazzi

D-Index & Metrics

Neuroscience

D-Index
39
Citations
15219
World Ranking
8197
National Ranking
449

Leonardo Chelazzi 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 Leonardo Chelazzi 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: 118 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Leonardo Chelazzi 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 Leonardo Chelazzi 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Leonardo Chelazzi is affiliated with the University of Verona in Italy and specializes in the field of neuroscience with a particular focus on cognitive neuroscience. Their scholarly output encompasses research across several interconnected subfields including experimental and cognitive psychology, psychiatry and mental health, social psychology, and computer vision and pattern recognition.

The scientist's research topics are diverse and center primarily on neural and behavioral psychology studies. They have contributed significantly to the understanding of visual perception and processing mechanisms, neural dynamics and brain function, EEG and brain-computer interfaces, spatial neglect and hemispheric dysfunction, functional brain connectivity studies, as well as multisensory perception and integration.

Leonardo Chelazzi has published numerous papers in prominent scientific journals. Some recent contributions include:

  • How feature context alters attentional template switching., 2021, Journal of Experimental Psychology Human Perception & Performance
  • Dynamic causal interactions between occipital and parietal cortex explain how endogenous spatial attention and stimulus-driven salience jointly shape the distribution of processing priorities in 2D visual space, 2022, NeuroImage
  • Predictive brain: Addressing the level of representation by reviewing perceptual hysteresis, 2021, Cortex
  • An EEG study of the combined effects of top-down and bottom-up attentional selection under varying task difficulty, 2022, Psychophysiology
  • Separate and overlapping mechanisms of statistical regularities and salience processing in the occipital cortex and dorsal attention network, 2023, Human Brain Mapping

The scientist has frequently published in several journals, notably:

  • Cortex
  • Journal of Vision
  • Journal of Experimental Psychology Human Perception & Performance
  • NeuroImage
  • Attention Perception & Psychophysics

Collaboration is a key aspect of their work, with frequent co-authors including Elisa Santandrea, Emiliano Macaluso, Suliann Ben Hamed, C. Nico Boehler, and Einat Rashal. These partnerships span various studies and contribute to the breadth of their scientific output.

Best Publications

  • Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex

    Steven J. Luck;Leonardo Chelazzi;Steven A. Hillyard;Robert Desimone

  • A neural basis for visual search in inferior temporal cortex

    Leonardo Chelazzi;Earl K. Miller;John Duncan;Robert Desimone

  • Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4

    John H. Reynolds;Leonardo Chelazzi;Robert Desimone

  • ATTENTIONAL MODULATION OF VISUAL PROCESSING

    John H. Reynolds;Leonardo Chelazzi

  • Responses of Neurons in Inferior Temporal Cortex During Memory-Guided Visual Search

    Leonardo Chelazzi;John Duncan;Earl K. Miller;Robert Desimone

  • Reward Changes Salience in Human Vision via the Anterior Cingulate

    Clayton Hickey;Leonardo Chelazzi;Jan Theeuwes

  • Toward a Unified Theory of Visual Area V4

    Anna W. Roe;Leonardo Chelazzi;Charles E. Connor;Bevil R. Conway

  • Rewards teach visual selective attention.

    Leonardo Chelazzi;Andrea Perlato;Elisa Santandrea;Chiara Della Libera

  • Responses of Neurons in Macaque Area V4 During Memory-guided Visual Search

    Leonardo Chelazzi;Earl K. Miller;John Duncan;Robert Desimone

  • Visual Selective Attention and the Effects of Monetary Rewards

    Chiara Della Libera;Leonardo Chelazzi

  • Learning to Attend and to Ignore Is a Matter of Gains and Losses

    Chiara Della Libera;Leonardo Chelazzi

  • Associative knowledge controls deployment of visual selective attention.

    Elisabeth Moores;Liana Laiti;Leonardo Chelazzi

  • My eyes want to look where your eyes are looking: exploring the tendency to imitate another individual's gaze.

    Paola Ricciardelli;Emanuela Bricolo;Salvatore M. Aglioti;Leonardo Chelazzi

  • Distribution in the visual field of the costs of voluntarily allocated attention and of the inhibitory after-effects of covert orienting.

    Giancarlo Tassinari;S. Aglioti;Leonardo Chelazzi;Carlo Alberto Marzi

  • Altering spatial priority maps via statistical learning of target selection and distractor filtering

    Oscar Ferrante;Alessia Patacca;Valeria Di Caro;Chiara Della Libera

  • Altering spatial priority maps via reward-based learning.

    Leonardo Chelazzi;Jana Eštočinová;Riccardo Calletti;Emanuele Lo Gerfo

  • Laws of concatenated perception: Vision goes for novelty, Decisions for perseverance

    David Pascucci;David Pascucci;Giovanni Mancuso;Elisa Santandrea;Chiara Della Libera

  • Reward Guides Vision when It's Your Thing: Trait Reward-Seeking in Reward-Mediated Visual Priming

    Clayton Hickey;Leonardo Chelazzi;Jan Theeuwes

  • Getting rid of visual distractors: the why, when, how, and where

    Leonardo Chelazzi;Francesco Marini;David Pascucci;Massimo Turatto

  • Do peripheral non-informative cues induce early facilitation of target detection?

    Giancarlo Tassinari;S. Aglioti;Leonardo Chelazzi;A. Peru

Frequent Co-Authors

Salvatore Maria Aglioti
Salvatore Maria Aglioti Sapienza University of Rome
Piergiorgio Strata
Piergiorgio Strata University of Turin
Jan Theeuwes
Jan Theeuwes Vrije Universiteit Amsterdam
Filippo Tempia
Filippo Tempia University of Turin
Giovanni Berlucchi
Giovanni Berlucchi University of Verona
Ferdinando Rossi
Ferdinando Rossi University of Turin
John S. Duncan
John S. Duncan University College London

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