World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
43
Citations
14850
World Ranking
7090
National Ranking
3830

Frank Tong 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 Frank Tong 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: 133 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Frank Tong 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 Frank Tong 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: 43 D-Index — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Overview

Frank Tong is affiliated with Vanderbilt University in the United States. Their research primarily focuses on Neuroscience, with a significant concentration on Cognitive Neuroscience. Within this field, they have contributed to subfields including Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics, and Media Technology.

The topics addressed by Frank Tong's work cover a range of areas related to vision and brain function. These include:

  • Visual perception and processing mechanisms
  • Face Recognition and Perception
  • Neural dynamics and brain function
  • Visual Attention and Saliency Detection
  • Face recognition and analysis
  • Cell Image Analysis Techniques
  • Image Processing Techniques and Applications

Tong has published extensively, with key papers spanning from 2020 to 2024. Notable recent publications include:

  • Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks, 2024, Nature Communications
  • Spikiness and animacy as potential organizing principles of human ventral visual cortex, 2023, Cerebral Cortex
  • Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images, 2021, PLoS Biology
  • Convolutional neural networks trained with a developmental sequence of blurry to clear images reveal core differences between face and object processing, 2021, Journal of Vision
  • Resolving the Spatial Profile of Figure Enhancement in Human V1 through Population Receptive Field Modeling, 2020, Journal of Neuroscience

Frank Tong frequently publishes in the Journal of Vision, with 29 contributions, and also has publications in venues such as bioRxiv (Cold Spring Harbor Laboratory), the 2022 Conference on Cognitive Computational Neuroscience, Cerebral Cortex, and Nature Communications.

Their collaborative work involves multiple co-authors, notably:

  • Hojin Jang
  • Hui-Yuan Miao
  • David Coggan
  • Loïc Daumail
  • Lasyapriya Pidaparthi

Best Publications

  • Decoding the visual and subjective contents of the human brain

    Yukiyasu Kamitani;Frank Tong;Frank Tong

  • Decoding reveals the contents of visual working memory in early visual areas

    Stephenie A. Harrison;Frank Tong

  • Binocular Rivalry and Visual Awareness in Human Extrastriate Cortex

    Frank Tong;Ken Nakayama;J.Thomas Vaughan;Nancy Kanwisher;Nancy Kanwisher

  • Neural bases of binocular rivalry.

    Frank Tong;Ming Meng;Randolph Blake

  • Primary visual cortex and visual awareness.

    Frank Tong

  • Interocular rivalry revealed in the human cortical blind-spot representation

    Frank Tong;Stephen A. Engel

  • The effect of face inversion on the human fusiform face area

    Nancy Kanwisher;Frank Tong;Ken Nakayama

  • Can attention selectively bias bistable perception? Differences between binocular rivalry and ambiguous figures.

    Ming Meng;Frank Tong

  • Robust representations for faces: Evidence from visual search.

    Frank Tong;Ken Nakayama

  • RESPONSE PROPERTIES OF THE HUMAN FUSIFORM FACE AREA

    Frank Tong;Ken Nakayama;Morris Moscovitch;Oren Weinrib

  • Decoding seen and attended motion directions from activity in the human visual cortex

    Yukiyasu Kamitani;Frank Tong

  • The Functional Impact of Mental Imagery on Conscious Perception

    Joel Pearson;Joel Pearson;Colin W.G. Clifford;Frank Tong

  • Training Improves Multitasking Performance by Increasing the Speed of Information Processing in Human Prefrontal Cortex

    Paul E. Dux;Michael N. Tombu;Stephenie Harrison;Baxter P. Rogers

  • Decoding Patterns of Human Brain Activity

    Frank Tong;Michael S. Pratte

  • Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns.

    Okito Yamashita;Masa-aki Sato;Taku Yoshioka;Frank Tong

  • Attention Improves Encoding of Task-Relevant Features in the Human Visual Cortex

    Janneke F. M. Jehee;Devin K. Brady;Frank Tong

  • Multiscale pattern analysis of orientation-selective activity in the primary visual cortex.

    J. D. Swisher;J. C. Gatenby;J. C. Gore;B. A. Wolfe

  • Evaluating the Mind’s Eye The Metacognition of Visual Imagery

    Joel Pearson;Joel Pearson;Rosanne L. Rademaker;Frank Tong

  • Perceptual Learning Selectively Refines Orientation Representations in Early Visual Cortex

    J. F. M. Jehee;S. Ling;J. D. Swisher;R. S. van Bergen

  • Filling-in of visual phantoms in the human brain

    Ming Meng;David A Remus;Frank Tong

  • Neural Mechanisms of Object-Based Attention

    Elias H. Cohen;Frank Tong

  • Foundations of Vision

    Frank Tong

Frequent Co-Authors

Yukiyasu Kamitani
Yukiyasu Kamitani Kyoto University
Peter König
Peter König Osnabrück University
Alexander T. Sack
Alexander T. Sack Maastricht University
Randolph Blake
Randolph Blake Vanderbilt University
Joel Pearson
Joel Pearson University of New South Wales
Ken Nakayama
Ken Nakayama Harvard University
Isabel Gauthier
Isabel Gauthier Vanderbilt University
Vincent van de Ven
Vincent van de Ven Maastricht University
John C. Gore
John C. Gore Vanderbilt University Medical Center

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:

Related Online Degrees & Career Pathways

Exploring a career in psychology offers a wide range of educational and professional options. Many students begin with online degrees in psychology, counseling, or related fields, which provide flexible pathways to various mental health careers. For those interested in family therapy, understanding regional requirements is crucial.

Aspiring therapists can learn the necessary steps in specific locations, such as how to become a marriage and family therapist in El Paso. Each state, and even many cities, have their own guidelines for licensure, education, and supervised experience. For instance, students considering Indiana can review the mft requirements in Fort Wayne.

Education pathways may include master’s programs, internships, and state exams. It's important to identify the necessary credentials early, such as the Fort Worth mft education requirements in Texas. Additionally, those looking at California should consider how to become a marriage and family therapist in Fremont for specific regional insights.

Carefully researching online degrees and regional requirements will help you choose the best pathway to your desired psychology career.

Best Scientists Citing Frank Tong

Trending Scientists

Recently Published Articles