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George A. Alvarez

George A. Alvarez

D-Index & Metrics

Psychology

D-Index
59
Citations
17074
World Ranking
3656
National Ranking
2054

George A. Alvarez publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where George A. Alvarez sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 198 publications — 68th percentile

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

The last bar groups every scientist with 705 publications or more.

George A. Alvarez D-index placement in Psychology in 2026

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

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 59 D-Index — 68th percentile

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

The last bar groups every scientist with 144 D-Index or more.

Overview

George A. Alvarez is affiliated with Harvard University in the United States and conducts research primarily in the fields of Neuroscience and Computer Science. Their work has a significant focus on Cognitive Neuroscience and Computer Vision and Pattern Recognition, with additional contributions to Artificial Intelligence, Biophysics, and Social Psychology.

The scientist's research encompasses a range of topics including:

  • Visual Attention and Saliency Detection
  • Face Recognition and Perception
  • Visual perception and processing mechanisms
  • Neural dynamics and brain function
  • Domain Adaptation and Few-Shot Learning
  • Neural and Behavioral Psychology Studies
  • Medical Image Segmentation Techniques

Alvarez has contributed extensively to academic literature with notable recent publications such as:

  • "A self-supervised domain-general learning framework for human ventral stream representation" (2022, Nature Communications)
  • "What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?" (2022, bioRxiv - Cold Spring Harbor Laboratory)
  • "A large-scale examination of inductive biases shaping high-level visual representation in brains and machines" (2024, Nature Communications)
  • "Doubting Driverless Dilemmas" (2020, Perspectives on Psychological Science)
  • "Contrastive learning explains the emergence and function of visual category-selective regions" (2024, Science Advances)

Their publications appear frequently in venues including:

  • Journal of Vision
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Nature Communications
  • Science Advances

Collaboration is a significant aspect of Alvarez's scholarly activity. Frequent co-authors include:

  • Talia Konkle
  • Jacob S. Prince
  • Colin Conwell
  • Fenil R. Doshi
  • C. Hamblin

Alvarez's interdisciplinary approach bridges neuroscience and computational methods, contributing to understanding the neural mechanisms underlying visual perception and advancing machine learning models inspired by brain function.

Best Publications

  • The capacity of visual short-term memory is set both by visual information load and by number of objects

    George Alvarez;Patrick Cavanagh

  • Visual long-term memory has a massive storage capacity for object details

    Timothy F. Brady;Talia Konkle;George A. Alvarez;Aude Oliva

  • Tracking multiple targets with multifocal attention.

    Patrick Cavanagh;George A. Alvarez

  • A review of visual memory capacity: Beyond individual items and toward structured representations.

    Timothy F. Brady;Talia Konkle;George A. Alvarez

  • Representing multiple objects as an ensemble enhances visual cognition.

    George A. Alvarez

  • How many objects can you track? Evidence for a resource-limited attentive tracking mechanism.

    George A. Alvarez;Steven L. Franconeri

  • Conceptual distinctiveness supports detailed visual long-term memory for real-world objects.

    Talia Konkle;Timothy F. Brady;George A. Alvarez;Aude Oliva

  • Hierarchical Encoding in Visual Working Memory Ensemble Statistics Bias Memory for Individual Items

    Timothy F. Brady;George A. Alvarez

  • Independent Resources for Attentional Tracking in the Left and Right Visual Hemifields

    George A. Alvarez;Patrick Cavanagh

  • The Representation of Simple Ensemble Visual Features Outside the Focus of Attention

    George A. Alvarez;Aude Oliva

  • Scene Memory Is More Detailed Than You Think The Role of Categories in Visual Long-Term Memory

    Talia Konkle;Timothy F. Brady;George A. Alvarez;Aude Oliva

  • Compression in Visual Working Memory: Using Statistical Regularities to Form More Efficient Memory Representations.

    Timothy F. Brady;Talia Konkle;George A. Alvarez

  • Flexible cognitive resources: Competitive content maps for attention and memory

    Steven L. Franconeri;George A. Alvarez;Patrick Cavanagh

  • Object features fail independently in visual working memory: evidence for a probabilistic feature-store model.

    Daryl Fougnie;George A. Alvarez

  • Variability in the quality of visual working memory

    Daryl Fougnie;Jordan W. Suchow;George A. Alvarez

  • Modeling visual working memory with the MemToolbox.

    Jordan William Suchow;Timothy Francis Brady;Daryl Fougnie;George Angelo Alvarez

  • Spatial ensemble statistics are efficient codes that can be represented with reduced attention

    George A. Alvarez;Aude Oliva

  • Failure of working memory training to enhance cognition or intelligence.

    Todd W. Thompson;Michael L. Waskom;Michael L. Waskom;Keri-Lee Alyson Garel;Carlos Cardenas-Iniguez;Carlos Cardenas-Iniguez

  • Working memory is not fixed-capacity: More active storage capacity for real-world objects than for simple stimuli.

    Timothy F. Brady;Viola S. Störmer;George A. Alvarez

  • Visual Long-Term Memory Has the Same Limit on Fidelity as Visual Working Memory

    Timothy Francis Brady;Talia A Konkle;Jonathan Gill;Aude Oliva

Frequent Co-Authors

Patrick Cavanagh
Patrick Cavanagh York University
Jeremy M. Wolfe
Jeremy M. Wolfe Brigham and Women's Hospital
Steven Franconeri
Steven Franconeri Northwestern University
Ken Nakayama
Ken Nakayama Harvard University
Thomas A. Carlson
Thomas A. Carlson University of Sydney
Todd S. Horowitz
Todd S. Horowitz National Institutes of Health
Yuhong V. Jiang
Yuhong V. Jiang University of Minnesota
Michael C. Frank
Michael C. Frank Stanford University

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