World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 66 2957 2704 1371 1234 238 23895

Geoffrey K. Aguirre publications per year

The chart shows the history of publications by Geoffrey K. Aguirre between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Geoffrey K. Aguirre published across 38 years, from 1988 to 2025, averaging 7.7 papers a year. Output peaked at 23 publications in 2025. 37 of the 294 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 23. Peak 23 publications in 2025. 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 3 publications 1997: 8 publications 1998: 10 publications 1999: 8 publications 2000: 4 publications 2001: 2 publications 2002: 3 publications 2003: 3 publications 2004: 1 publication 2005: 6 publications 2006: 5 publications 2007: 12 publications 2008: 5 publications 2009: 7 publications 2010: 22 publications 2011: 12 publications 2012: 10 publications 2013: 11 publications 2014: 13 publications 2015: 13 publications 2016: 8 publications 2017: 10 publications 2018: 13 publications 2019: 13 publications 2020: 13 publications 2021: 12 publications 2022: 17 publications 2023: 11 publications 2024: 14 publications 2025: 23 publications
1988 2025

294 publications in total across all disciplines

View publications per year as a table
Geoffrey K. Aguirre: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 0
1991 0
1992 1
1993 0
1994 0
1995 0
1996 3
1997 8
1998 10
1999 8
2000 4
2001 2
2002 3
2003 3
2004 1
2005 6
2006 5
2007 12
2008 5
2009 7
2010 22
2011 12
2012 10
2013 11
2014 13
2015 13
2016 8
2017 10
2018 13
2019 13
2020 13
2021 12
2022 17
2023 11
2024 14
2025 23
Total 294
Download as CSV

Geoffrey K. Aguirre 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 Geoffrey K. Aguirre 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, 238–247 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: 238 publications — 72nd percentile

72% 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
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203 238
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

Geoffrey K. Aguirre 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 Geoffrey K. Aguirre 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, 66–67 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: 66 D-Index — 69th percentile

69% 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
66–67 239 66
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

  • 2019 - OSA Fellows Geoffrey K. Aguirre University of Pennsylvania, United States For fundamental and technically sophisticated non-invasive measurements of retinal and cortical visual processing in healthy humans, and translation of the understanding gained from these measurements to the characterization and treatment of blinding disease

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Statistics

Geoffrey K. Aguirre mainly focuses on Neuroscience, Functional magnetic resonance imaging, Neuroimaging, Cognitive psychology and Topographical disorientation. His studies in Cognition, Functional imaging, Perception and Brain mapping are all subfields of Neuroscience research. His research integrates issues of Stimulus and Neural activity in his study of Cognition.

His Functional magnetic resonance imaging research includes themes of Contrast, Temporal lobe, Motor cortex, Prefrontal cortex and Laterality. His Prefrontal cortex research is multidisciplinary, incorporating elements of Interference theory, Short-term memory and Spatial memory. His Cognitive psychology research includes elements of Semantics, Dorsal ventral and Semantic memory.

His most cited work include:

  • Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation (1704 citations)
  • The Variability of Human, BOLD Hemodynamic Responses (1059 citations)
  • Functional MRI studies of spatial and nonspatial working memory. (898 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Neuroscience, Functional magnetic resonance imaging, Cognitive psychology, Artificial intelligence and Stimulus. His study in Visual cortex, Cognition, Melanopsin, Brain mapping and Neuroimaging is carried out as part of his Neuroscience studies. He combines Functional magnetic resonance imaging and Topographical disorientation in his studies.

His work deals with themes such as Developmental psychology, Prefrontal cortex and Face perception, which intersect with Cognitive psychology. His Artificial intelligence research incorporates elements of Computer vision and Pattern recognition. The various areas that Geoffrey K. Aguirre examines in his Stimulus study include Color vision, Cognitive neuroscience of visual object recognition, Perception and Communication.

He most often published in these fields:

  • Neuroscience (33.50%)
  • Functional magnetic resonance imaging (16.75%)
  • Cognitive psychology (16.26%)

What were the highlights of his more recent work (between 2015-2021)?

  • Neuroscience (33.50%)
  • Stimulus (14.78%)
  • Melanopsin (6.40%)

In recent papers he was focusing on the following fields of study:

Geoffrey K. Aguirre focuses on Neuroscience, Stimulus, Melanopsin, Visual cortex and Perception. His research brings together the fields of Disease and Neuroscience. Geoffrey K. Aguirre interconnects Functional magnetic resonance imaging, Corpus callosum, Splenium and Photopigment in the investigation of issues within Visual cortex.

The study incorporates disciplines such as Developmental psychology and Stimulus Variability in addition to Functional magnetic resonance imaging. His biological study spans a wide range of topics, including Cognitive psychology, Sensory system, Negative correlation and Statistics, Bayesian probability. His Cognitive psychology research is multidisciplinary, incorporating perspectives in Cognition and Motor skill.

Between 2015 and 2021, his most popular works were:

  • Variation of outdoor illumination as a function of solar elevation and light pollution (71 citations)
  • The Human Visual Cortex Response To Melanopsin-Directed Stimulation Is Accompanied By A Distinct Perceptual Experience (46 citations)
  • Predicting future learning from baseline network architecture. (34 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Artificial intelligence
  • Statistics

Geoffrey K. Aguirre spends much of his time researching Stimulus, Cognitive psychology, Visual cortex, White matter and Neuroscience. Geoffrey K. Aguirre focuses mostly in the field of Stimulus, narrowing it down to topics relating to Perception and, in certain cases, Sensory system, Neural adaptation and Developmental psychology. His studies deal with areas such as Cognition and Motor skill as well as Cognitive psychology.

His study brings together the fields of Functional magnetic resonance imaging and Visual cortex. The concepts of his Functional magnetic resonance imaging study are interwoven with issues in Splenium, Lateral geniculate nucleus, Corpus callosum and Audiology. Visual perception, Photopigment and Melanopsin are among the areas of Neuroscience where he concentrates his study.

Best Publications

  • Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation

    Sharon L. Thompson-Schill;Mark D’Esposito;Geoffrey K. Aguirre;Martha J. Farah

  • The Variability of Human, BOLD Hemodynamic Responses

    G.K. Aguirre;E. Zarahn;M. D'Esposito

  • Functional MRI studies of spatial and nonspatial working memory.

    M D'Esposito;G.K Aguirre;E Zarahn;D Ballard

  • Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.

    Zarahn E;Aguirre Gk;D'Esposito M

  • Topographical disorientation: a synthesis and taxonomy

    Geoffrey K. Aguirre;Mark D'Esposito

  • The parahippocampus subserves topographical learning in man

    G.K. Aguirre;J.A. Detre;D.C. Alsop;M. D'Esposito

  • Empirical analyses of BOLD fMRI statistics. II. Spatially smoothed data collected under null-hypothesis and experimental conditions.

    G.K. Aguirre;E. Zarahn;M. D'Esposito

  • A functional MRI study of mental image generation.

    M D'Esposito;J.A Detre;G.K Aguirre;M Stallcup

  • The effect of normal aging on the coupling of neural activity to the bold hemodynamic response.

    Mark D'Esposito;Eric Zarahn;Geoffrey K. Aguirre;Bart Rypma

  • An area within human ventral cortex sensitive to Building stimuli: Evidence and implications

    Geoffrey K Aguirre;E Zarahn;M D’Esposito

  • A Trial-Based Experimental Design for fMRI

    Eric Zarahn;Geoff Aguirre;Mark D'Esposito

  • Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx.

    Ze Wang;Geoffrey K. Aguirre;Hengyi Rao;Jiongjiong Wang

  • Experimental Design and the Relative Sensitivity of BOLD and Perfusion fMRI

    Geoffrey Karl Aguirre;John A. Detre;Eric Zarahn;David C. Alsop

  • Modulation of Amygdalar Activity by the Conscious Regulation of Negative Emotion

    Stacey M. Schaefer;Daren C. Jackson;Richard J. Davidson;Geoffrey K. Aguirre

  • A neural basis for category and modality specificity of semantic knowledge.

    S L Thompson-Schill;G K Aguirre;M D'Esposito;M J Farah

  • Environmental Knowledge Is Subserved by Separable Dorsal/Ventral Neural Areas

    Geoffrey K. Aguirre;Mark D’Esposito

  • Arterial spin labeling perfusion fMRI with very low task frequency.

    Jiongjiong Wang;Geoffrey K. Aguirre;Daniel Y. Kimberg;Anne C. Roc

  • Neural Specialization for Letter Recognition

    Thad A. Polk;Matthew Stallcup;Geoffrey K. Aguirre;David C. Alsop

  • Functional MRI lateralization of memory in temporal lobe epilepsy

    J. A. Detre;L. Maccotta;D. King;D. C. Alsop

  • The Inferential Impact of Global Signal Covariates in Functional Neuroimaging Analyses

    G.K. Aguirre;E. Zarahn;M. D'Esposito

Frequent Co-Authors

David H. Brainard
David H. Brainard University of Pennsylvania
Mark D'Esposito
Mark D'Esposito University of California, Berkeley
John A. Detre
John A. Detre University of Pennsylvania
Sharon L. Thompson-Schill
Sharon L. Thompson-Schill University of Pennsylvania
Samuel G. Jacobson
Samuel G. Jacobson University of Pennsylvania
Artur V. Cideciyan
Artur V. Cideciyan University of Pennsylvania
Russell A. Epstein
Russell A. Epstein University of Pennsylvania
James C. Gee
James C. Gee University of Pennsylvania
Gregory M. Acland
Gregory M. Acland Cornell University
Gustavo D. Aguirre
Gustavo D. Aguirre University of Pennsylvania

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Geoffrey K. Aguirre

Trending Scientists

Recently Published Articles