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George A. Alvarez

George A. Alvarez

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 59 3656 3371 2054 1852 198 17074

George A. Alvarez publications per year

The chart shows the history of publications by George A. Alvarez between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. George A. Alvarez published across 26 years, from 2000 to 2025, averaging 9.4 papers a year. Output peaked at 38 publications in 2010. 18 of the 244 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2010. 2000: 1 publication 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 5 publications 2005: 6 publications 2006: 1 publication 2007: 11 publications 2008: 6 publications 2009: 9 publications 2010: 38 publications 2011: 18 publications 2012: 11 publications 2013: 19 publications 2014: 17 publications 2015: 11 publications 2016: 9 publications 2017: 9 publications 2018: 7 publications 2019: 11 publications 2020: 10 publications 2021: 6 publications 2022: 9 publications 2023: 12 publications 2024: 10 publications 2025: 8 publications
2000 2025

244 publications in total across all disciplines

View publications per year as a table
George A. Alvarez: publications per year, 2000 to 2025
Year Publications
2000 1
2001 0
2002 0
2003 0
2004 5
2005 6
2006 1
2007 11
2008 6
2009 9
2010 38
2011 18
2012 11
2013 19
2014 17
2015 11
2016 9
2017 9
2018 7
2019 11
2020 10
2021 6
2022 9
2023 12
2024 10
2025 8
Total 244
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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.

No. of scientists
200 400 600
Bar chart with 69 bars. Horizontal axis: publications, 31–40 to 705+. Vertical axis: number of scientists, 0 to 736. Most scientists, 736, have 101–110 publications. The last bar groups every scientist with 705 publications or more. The highlighted bar, 191–200 publications, is where this scientist sits. 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
31–40 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.

View publications distribution as a table
Number of Psychology scientists by publication count, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
Publications Scientists This scientist
31–40 6
41–50 52
51–60 138
61–70 299
71–80 461
81–90 605
91–100 713
101–110 736
111–120 686
121–130 670
131–140 644
141–150 597
151–160 576
161–170 477
171–180 450
181–190 397
191–200 343 198
201–210 328
211–220 313
221–230 283
231–240 226
241–250 196
251–260 201
261–270 171
271–280 151
281–290 139
291–300 113
301–310 102
311–320 100
321–330 76
331–340 92
341–350 85
351–360 69
361–370 71
371–380 63
381–390 58
391–400 57
401–410 43
411–420 33
421–430 50
431–440 41
441–450 32
451–460 27
461–470 28
471–480 25
481–490 28
491–500 20
501–510 23
511–520 26
521–530 17
531–540 21
541–550 14
551–560 16
561–570 10
571–580 22
581–590 9
591–600 14
601–610 9
611–620 11
621–630 4
631–640 7
641–650 5
651–660 10
661–670 8
671–680 8
681–690 4
691–700 3
701–704 4
705+ 100
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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.

No. of scientists
200 400 600
Bar chart with 58 bars. Horizontal axis: D-Index, 30–31 to 144+. Vertical axis: number of scientists, 0 to 702. Most scientists, 702, have 32–33 D-Index. The last bar groups every scientist with 144 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Psychology scientists by D-index, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
D-Index Scientists This scientist
30–31 398
32–33 702
34–35 671
36–37 659
38–39 641
40–41 671
42–43 617
44–45 558
46–47 495
48–49 487
50–51 445
52–53 390
54–55 408
56–57 345
58–59 325 59
60–61 321
62–63 248
64–65 290
66–67 218
68–69 219
70–71 215
72–73 183
74–75 169
76–77 132
78–79 137
80–81 120
82–83 112
84–85 86
86–87 101
88–89 83
90–91 77
92–93 70
94–95 78
96–97 58
98–99 53
100–101 57
102–103 48
104–105 53
106–107 46
108–109 24
110–111 35
112–113 27
114–115 32
116–117 31
118–119 22
120–121 16
122–123 24
124–125 18
126–127 11
128–129 19
130–131 10
132–133 16
134–135 10
136–137 12
138–139 8
140–141 5
142–143 12
144+ 98
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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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