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Jennifer L. Robinson

Jennifer L. Robinson

Auburn University
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 33 10455 9785 5492 5014 57 5524
Neuroscience 33 9431 8701 3986 3604 58 5512

Jennifer L. Robinson publications per year

The chart shows the history of publications by Jennifer L. Robinson between 2004 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jennifer L. Robinson published across 18 years, from 2004 to 2021, averaging 3.2 papers a year. Output peaked at 6 publications in 2019. 7 of the 58 publications appeared in the last two years.

No. of publications
2 4 6
Bar chart. Horizontal axis: year, 2004 to 2021. Vertical axis: number of publications, 0 to 6. Peak 6 publications in 2019. 2004: 2 publications 2005: 1 publication 2006: 4 publications 2007: 2 publications 2008: 3 publications 2009: 5 publications 2010: 4 publications 2011: 1 publication 2012: 3 publications 2013: 1 publication 2014: 2 publications 2015: 4 publications 2016: 5 publications 2017: 4 publications 2018: 4 publications 2019: 6 publications 2020: 3 publications 2021: 4 publications
2004 2021

58 publications in total across all disciplines

View publications per year as a table
Jennifer L. Robinson: publications per year, 2004 to 2021
Year Publications
2004 2
2005 1
2006 4
2007 2
2008 3
2009 5
2010 4
2011 1
2012 3
2013 1
2014 2
2015 4
2016 5
2017 4
2018 4
2019 6
2020 3
2021 4
Total 58
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Jennifer L. Robinson 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 Jennifer L. Robinson 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, 58–67 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: 58 publications — 1st percentile

1% 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 58
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
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

Jennifer L. Robinson 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 Jennifer L. Robinson 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, 32–33 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: 33 D-Index — 2nd percentile

2% 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 33
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
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

Overview

What is she best known for?

The fields of study she is best known for:

  • Neuroscience
  • Cognition
  • Functional magnetic resonance imaging

Her main research concerns Functional neuroimaging, Neuroimaging, Neuroscience, Amygdala and Brain function. Her Functional neuroimaging research incorporates elements of Segmentation, Postcentral gyrus, Spatial normalization, Activation likelihood estimation and Data validation. As a member of one scientific family, Jennifer L. Robinson mostly works in the field of Neuroimaging, focusing on Meta-analysis and, on occasion, Neuroinformatics and Data science.

Her Neuroscience research incorporates themes from Schizophrenia, Voxel and Brain morphometry. Her Amygdala study combines topics in areas such as Hydrocortisone, Central nervous system, Limbic system and Glucocorticoid. In her papers, she integrates diverse fields, such as Brain function, Theoretical models, Complex network and Nonhuman primate.

Her most cited work include:

  • Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis. (493 citations)
  • ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas (270 citations)
  • Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala. (251 citations)

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

Neuroscience, Neuroimaging, Cognition, Functional neuroimaging and Functional magnetic resonance imaging are her primary areas of study. Her work carried out in the field of Neuroimaging brings together such families of science as Neurocognitive and Neuropsychological assessment. Her research integrates issues of Sadness, Cognitive psychology, Affect, Diffusion MRI and Developmental psychology in her study of Cognition.

Her studies in Functional neuroimaging integrate themes in fields like Normalization, Talairach coordinates, Spatial normalization, Activation likelihood estimation and Data validation. Jennifer L. Robinson combines subjects such as Anterior cingulate cortex, Limbic system and Human brain with her study of Functional magnetic resonance imaging. Her studies deal with areas such as Functional connectivity and Brain function as well as Amygdala.

She most often published in these fields:

  • Neuroscience (56.06%)
  • Neuroimaging (46.97%)
  • Cognition (27.27%)

What were the highlights of her more recent work (between 2018-2021)?

  • Cognition (27.27%)
  • Functional magnetic resonance imaging (24.24%)
  • Neuroscience (56.06%)

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

The scientist’s investigation covers issues in Cognition, Functional magnetic resonance imaging, Neuroscience, Clinical psychology and Placebo. The Cognition study combines topics in areas such as Retrosplenial cortex, Neuroimaging and Feature. Neuroimaging and Glutamate receptor are two areas of study in which Jennifer L. Robinson engages in interdisciplinary work.

She has included themes like Smoothing, Healthy individuals, Preprocessor and Motion correction in her Functional magnetic resonance imaging study. Her work on Amygdala and Neural correlates of consciousness as part of general Neuroscience study is frequently linked to High resolution, bridging the gap between disciplines. The study incorporates disciplines such as Cannabis use and Affect in addition to Clinical psychology.

Between 2018 and 2021, her most popular works were:

  • Effects of cannabinoid administration for pain: A meta-analysis and meta-regression. (15 citations)
  • Left, right, or bilateral amygdala activation? How effects of smoothing and motion correction on ultra-high field, high-resolution functional magnetic resonance imaging (fMRI) data alter inferences. (6 citations)
  • Differential neural activation when voluntarily regulating emotions in service members with chronic mild traumatic brain injury. (5 citations)

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

  • Cognition
  • Neuroscience
  • Functional magnetic resonance imaging

Jennifer L. Robinson mostly deals with Neuroscience, Functional magnetic resonance imaging, Analgesic, Meta-analysis and Internal medicine. Neuroscience is often connected to Audiology in her work. Her Functional magnetic resonance imaging research includes elements of Precentral gyrus, Motion correction, Ultra high field and Amygdala.

The various areas that Jennifer L. Robinson examines in her Analgesic study include Chronic pain and Cannabis.

Best Publications

  • Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis.

    David C. Glahn;Angela R. Laird;Ian Ellison-Wright;Sarah M. Thelen

  • ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas

    Angela R. Laird;Simon B. Eickhoff;Florian Kurth;Peter M. Fox

  • Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala.

    Jennifer L. Robinson;Jennifer L. Robinson;Jennifer L. Robinson;Angela R. Laird;David C. Glahn;David C. Glahn;William R. Lovallo

  • Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: Validation of the Lancaster transform

    Angela R. Laird;Jennifer L. Robinson;Kathryn M. McMillan;Diana Tordesillas-Gutiérrez

  • The functional connectivity of the human caudate: an application of meta-analytic connectivity modeling with behavioral filtering.

    Jennifer L. Robinson;Angela R. Laird;David C. Glahn;John Blangero

  • Physiological feelings

    Unknown

  • The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data

    Angela R Laird;Simon B Eickhoff;Simon B Eickhoff;P Mickle Fox;Angela M Uecker

  • Gender differences in working memory networks: a BrainMap meta-analysis.

    Ashley C. Hill;Angela R. Laird;Jennifer L. Robinson

  • Up- and down-regulating facial disgust: affective, vagal, sympathetic, and respiratory consequences.

    Heath A. Demaree;Brandon J. Schmeichel;Jennifer L. Robinson;Jie Pu

  • Neuropsychological Sequelae of PTSD and TBI Following War Deployment among OEF/OIF Veterans

    Sara Dolan;Sara Dolan;Sarah Martindale;Jennifer Robinson;Jennifer Robinson;Jennifer Robinson;Nathan A. Kimbrel;Nathan A. Kimbrel

  • Acute effects of hydrocortisone on the human brain: An fMRI study

    William R. Lovallo;Jennifer L. Robinson;David C. Glahn;Peter T. Fox

  • Ego depletion by response exaggeration

    Brandon J. Schmeichel;Heath A. Demaree;Jennifer L. Robinson;Jie Pu

  • Resting RSA is associated with natural and self-regulated responses to negative emotional stimuli.

    Heath A. Demaree;Jennifer L. Robinson;D. Erik Everhart;Brandon J. Schmeichel

  • Behavioural, affective, and physiological effects of negative and positive emotional exaggeration.

    Heath A. Demaree;Brandon J. Schmeichel;Jennifer L. Robinson;D. Erik Everhart

  • Neurofunctional topography of the human hippocampus

    Jennifer L. Robinson;Daniel S. Barron;Lauren A. J. Kirby;Katherine L. Bottenhorn

  • Compromised hippocampus-striatum pathway as a potential imaging biomarker of mild-traumatic brain injury and posttraumatic stress disorder

    D. Rangaprakash;Gopikrishna Deshpande;Thomas A. Daniel;Adam M. Goodman

  • Physiological and cognitive effects of expressive dissonance.

    Jennifer L. Robinson;Heath A. Demaree

  • Strategies actually employed during response-focused emotion regulation research: Affective and physiological consequences

    Heath A. Demaree;Jennifer L. Robinson;Jie Pu;John J. B. Allen

  • Fronto-limbic circuitry in euthymic bipolar disorder: evidence for prefrontal hyperactivation.

    Jennifer L. Robinson;E. Serap Monkul;Diana Tordesillas-Gutiérrez;Crystal Franklin

  • Differential activation of the anterior cingulate cortex and caudate nucleus during a gambling simulation in persons with a family history of alcoholism: studies from the Oklahoma Family Health Patterns Project.

    Ashley Acheson;Jennifer L. Robinson;David C. Glahn;William R. Lovallo

  • Delayed match-to-sample in working memory: A BrainMap meta-analysis.

    Thomas A. Daniel;Jeffrey S. Katz;Jennifer L. Robinson;Jennifer L. Robinson

Frequent Co-Authors

David C. Glahn
David C. Glahn Boston Children's Hospital
Peter T. Fox
Peter T. Fox The University of Texas Health Science Center at San Antonio
Angela R. Laird
Angela R. Laird Florida International University
Heath A. Demaree
Heath A. Demaree Case Western Reserve University
Gopikrishna Deshpande
Gopikrishna Deshpande Auburn University
Brandon J. Schmeichel
Brandon J. Schmeichel Texas A&M University
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
William R. Lovallo
William R. Lovallo Veterans Health Administration
Carrie E. Bearden
Carrie E. Bearden University of California, Los Angeles
Melissa J. Green
Melissa J. Green University of New South Wales

External Links

Personal website of Jennifer L. Robinson

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Related Online Degrees & Career Pathways

Exploring neuroscience studies opens the door to several flexible education and career options. For those seeking a convenient route, an online bachelor's degree offers versatility and allows students to balance coursework with personal commitments. Many online programs provide the same quality and depth as traditional classroom settings.

When considering your future career, it’s important to look at opportunities linked to the highest paying degrees. Fields such as biotechnology, neuroinformatics, and healthcare administration not only utilize neuroscience knowledge but can also provide strong financial outcomes.

If maximizing earnings is a top priority, students should research the best degrees to make money. Many interdisciplinary roles—like data science or pharmaceutical sales—can be approached with a neuroscience base, offering both challenge and high compensation.

Financing your education is also a key consideration. It’s worth searching for an online college that accepts fafsa to make your studies more affordable. FAFSA-eligible programs often offer robust financial aid options, making quality neuroscience or related degrees accessible to more students.

Best Scientists Citing Jennifer L. Robinson

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 249

Peter T. Fox

Peter T. Fox

The University of Texas Health Science Center at San Antonio

Publications: 136

Angela R. Laird

Angela R. Laird

Florida International University

Publications: 103

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 53

Danilo Bzdok

Danilo Bzdok

Montreal Neurological Institute and Hospital

Publications: 46

Katrin Amunts

Katrin Amunts

Forschungszentrum Jülich

Publications: 39

Robert Langner

Robert Langner

Heinrich Heine University Düsseldorf

Publications: 34

Karl Zilles

Karl Zilles

Forschungszentrum Jülich

Publications: 33

Lena Palaniyappan

Lena Palaniyappan

McGill University

Publications: 28

Jessica A. Turner

Jessica A. Turner

The Ohio State University

Publications: 28

Felix Hoffstaedter

Felix Hoffstaedter

Forschungszentrum Jülich

Publications: 28

Svenja Caspers

Svenja Caspers

Heinrich Heine University Düsseldorf

Publications: 27

Franco Cauda

Franco Cauda

University of Turin

Publications: 24

David C. Glahn

David C. Glahn

Boston Children's Hospital

Publications: 24

Godfrey D. Pearlson

Godfrey D. Pearlson

Yale University

Publications: 21

William R. Lovallo

William R. Lovallo

Veterans Health Administration

Publications: 19

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