World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
11350
World Ranking
4240
National Ranking
1214

Overview

Daniel Kersten is affiliated with the University of Minnesota in the United States. Their research primarily spans the fields of Neuroscience and Medicine, with a focus on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Social Psychology, Epidemiology, and Computer Vision and Pattern Recognition.

The main topics of Kersten's work include:

  • Visual perception and processing mechanisms
  • Face Recognition and Perception
  • Action Observation and Synchronization
  • Infrared Thermography in Medicine
  • Ophthalmology and Visual Impairment Studies
  • Impact of Light on Environment and Health
  • Tactile and Sensory Interactions

Daniel Kersten has contributed to several scientific publications across various reputable venues. Frequent publication venues include:

  • Journal of Vision
  • Scientific Reports
  • Proceedings of the National Academy of Sciences
  • PLoS ONE
  • i-Perception

Representative recent papers by Kersten and collaborators are:

  • "Multivoxel Pattern of Blood Oxygen Level Dependent Activity can be sensitive to stimulus specific fine scale responses," 2020, Scientific Reports
  • "General lighting can overcome accidental viewing," 2023, i-Perception
  • "Visual adaptation selective for individual limbs reveals hierarchical human body representation," 2021, Journal of Vision
  • "Effect of expansive optic flow and lateral motion parallax on depth estimation with normal and artificially reduced acuity," 2023, Journal of Vision
  • "We May Develop Medications Effective Against COVID-19, but Can We Distribute Them Equitably?", 2020, Health Equity

Kersten frequently collaborates with researchers such as Gordon E. Legge, Alexander Bratch, Alan Yuille, Siyun Liu, and Hongru Zhu. These coauthors have repeatedly contributed to research in areas related to visual perception and cognitive neuroscience.

Best Publications

  • Object Perception as Bayesian Inference

    Daniel Kersten;Pascal Mamassian;Alan L Yuille

  • Vision as Bayesian inference: analysis by synthesis?

    Alan L Yuille;Daniel Kersten

  • Shape perception reduces activity in human primary visual cortex

    Scott O. Murray;Daniel Kersten;Bruno A. Olshausen;Paul Schrater

  • The representation of perceived angular size in human primary visual cortex

    Scott O. Murray;Huseyin Boyaci;Daniel J Kersten

  • Bayesian models of object perception.

    Daniel Kersten;Alan L Yuille

  • Perception of three-dimensional shape influences colour perception through mutual illumination

    M. G. Bloj;D. Kersten;A. C. Hurlbert

  • Contrast discrimination in noise.

    Gordon E. Legge;Daniel Kersten;Arthur E. Burgess

  • The perception of cast shadows

    Pascal Mamassian;David C. Knill;Daniel Kersten

  • APPARENT SURFACE CURVATURE AFFECTS LIGHTNESS PERCEPTION

    David C. Knill;Daniel Kersten

  • Moving Cast Shadows Induce Apparent Motion in Depth

    Daniel Kersten;Pascal Mamassian;David C Knill

  • Illusory motion from shadows

    Daniel Kersten;David C. Knill;Pascal Mamassian;Isabella Bülthoff

  • Orientation-tuned fMRI adaptation in human visual cortex

    Fang Fang;Scott O. Murray;Daniel J. Kersten;Sheng He

  • Perceptual grouping and the interactions between visual cortical areas

    Scott O. Murray;Paul Schrater;Daniel Kersten

  • Human efficiency for recognizing 3-D objects in luminance noise

    Bosco S. Tjan;Wendy L. Braje;Gordon E. Legge;Daniel Kersten

  • Object classification for human and ideal observers

    Zili Liu;David C. Knill;Daniel Kersten

  • Predictability and redundancy of natural images.

    Daniel Kersten

  • Illumination effects in face recognition

    Wendy L. Braje;Daniel J Kersten;Michael J. Tarr;Nikolaus F. Troje

  • Is Color an Intrinsic Property of Object Representation

    Galit Naor-Raz;Michael J Tarr;Daniel Kersten

  • Visual motion and the perception of surface material.

    Katja Doerschner;Roland W. Fleming;Ozgur Yilmaz;Paul R. Schrater

  • Perceptual grouping and inverse fMRI activity patterns in human visual cortex.

    Fang Fang;Daniel Kersten;Scott O. Murray

  • Why the visual recognition system might encode the effects of illumination

    Michael J Tarr;Daniel Kersten;Heinrich H Bülthoff

  • Light and dark bars; contrast discrimination.

    Gordon E. Legge;Daniel Kersten

  • Spatial summation in visual noise.

    Daniel Kersten

  • BOLD fMRI and psychophysical measurements of contrast response to broadband images.

    Cheryl A. Olman;Kamil Ugurbil;Paul Schrater;Daniel Kersten

  • Viewpoint-dependent recognition of familiar faces.

    Nikolaus F. Troje;Daniel J Kersten

  • Geometry of shadows.

    David C. Knill;Pascal Mamassian;Daniel Kersten

  • Bootstrapped learning of novel objects.

    Mark J. Brady;Daniel J Kersten

  • Distinguishing shiny from matte

    Bruce Hartung;Daniel Kersten

  • Introduction: a Bayesian formulation of visual perception

    David C. Knill;Daniel Kersten;Alan Yuille

Frequent Co-Authors

Paul Schrater
Paul Schrater University of Minnesota
Scott O. Murray
Scott O. Murray University of Washington
David C. Knill
David C. Knill University of Rochester
Pascal Mamassian
Pascal Mamassian École Normale Supérieure
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics
Michael J. Tarr
Michael J. Tarr Carnegie Mellon University
Peter W. Battaglia
Peter W. Battaglia DeepMind (United Kingdom)
William B. Thompson
William B. Thompson University of Utah
Kamil Ugurbil
Kamil Ugurbil University of Minnesota

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

For students interested in expanding their horizons beyond traditional Engineering and Technology studies, there are several online degree options and career pathways to consider. Many professionals choose to pursue business-focused programs such as an mba under 25k, which combines affordability with the benefits of graduate business education. This route can open doors to leadership and management roles across technical industries.

Those interested in digital innovation might explore social media marketing schools, where you’ll learn essential skills in online branding, advertising, and analytics. This option is particularly valuable for engineers seeking to build tech products or platforms with strong market presence.

If your passion lies in service industries, a online hospitality management program can help you develop expertise in operations, guest experience, and event logistics—skills increasingly in demand for those merging technology and customer service.

Finally, many prospective engineers and technologists consider business accreditations important when investing in their education. Programs like aacsb online mba programs ensure a rigorous, globally recognized curriculum for ongoing professional development.

Best Scientists Citing Daniel Kersten

Trending Scientists