World's Best Scientists 2026 revealed!
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Computer Science
Germany
2025

D-Index & Metrics

Neuroscience

D-Index
97
Citations
34871
World Ranking
826
National Ranking
63

Computer Science

D-Index
104
Citations
39046
World Ranking
313
National Ranking
16

Psychology

D-Index
95
Citations
31761
World Ranking
774
National Ranking
25

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Perception

His primary areas of study are Artificial intelligence, Perception, Computer vision, Communication and Visual perception. His Artificial intelligence study integrates concerns from other disciplines, such as Psychophysics, Optics and Pattern recognition. His Perception research incorporates elements of Illusion, Cognitive psychology, Cognition, Facial recognition system and Virtual reality.

The concepts of his Computer vision study are interwoven with issues in Virtual machine, Computer graphics, Computer graphics and Haptic technology. The various areas that he examines in his Communication study include Categorization, Modality, Neuroscience, Eye movement and Depth perception. In his work, Motion perception is strongly intertwined with Visual system, which is a subfield of Visual perception.

His most cited work include:

  • Merging the senses into a robust percept (1275 citations)
  • Psychophysical support for a two-dimensional view interpolation theory of object recognition (600 citations)
  • Orientation dependence in the recognition of familiar and novel views of three-dimensional objects. (390 citations)

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

Heinrich H. Bülthoff mostly deals with Artificial intelligence, Computer vision, Perception, Cognitive psychology and Communication. His Artificial intelligence research is multidisciplinary, incorporating elements of Psychophysics and Pattern recognition. Heinrich H. Bülthoff interconnects Illusion, Computer graphics and Vestibular system in the investigation of issues within Computer vision.

His Perception research integrates issues from Stimulus, Sensory system, Cognition and Virtual reality. His Virtual reality study necessitates a more in-depth grasp of Human–computer interaction. His study in Cognitive neuroscience of visual object recognition focuses on 3D single-object recognition in particular.

He most often published in these fields:

  • Artificial intelligence (40.40%)
  • Computer vision (31.99%)
  • Perception (24.06%)

What were the highlights of his more recent work (between 2014-2021)?

  • Perception (24.06%)
  • Artificial intelligence (40.40%)
  • Cognitive psychology (15.16%)

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

Heinrich H. Bülthoff mainly investigates Perception, Artificial intelligence, Cognitive psychology, Computer vision and Simulation. In his study, Cognitive science is strongly linked to Cognition, which falls under the umbrella field of Perception. While the research belongs to areas of Artificial intelligence, Heinrich H. Bülthoff spends his time largely on the problem of Task, intersecting his research to questions surrounding Human–computer interaction.

His work focuses on many connections between Cognitive psychology and other disciplines, such as Communication, that overlap with his field of interest in Action recognition. Heinrich H. Bülthoff frequently studies issues relating to Process and Computer vision. Heinrich H. Bülthoff combines subjects such as Motion and Motion simulator with his study of Simulation.

Between 2014 and 2021, his most popular works were:

  • A Novel Overactuated Quadrotor Unmanned Aerial Vehicle: Modeling, Control, and Experimental Validation (157 citations)
  • Modeling, control and design optimization for a fully-actuated hexarotor aerial vehicle with tilted propellers (111 citations)
  • Decentralized rigidity maintenance control with range measurements for multi-robot systems (55 citations)

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

  • Artificial intelligence
  • Computer vision
  • Perception

Heinrich H. Bülthoff mainly focuses on Perception, Cognitive psychology, Artificial intelligence, Communication and Computer vision. His work carried out in the field of Perception brings together such families of science as Functional magnetic resonance imaging and Sensory system. His studies in Cognitive psychology integrate themes in fields like Social psychology, Event-related potential, Gaze, Stimulus and Body Representation.

His Artificial intelligence research includes themes of Scale and Pattern recognition. His study in Communication is interdisciplinary in nature, drawing from both Salient, Cognitive science, Task and Face perception. His biological study spans a wide range of topics, including Robot and Virtual reality.

Best Publications

  • Merging the senses into a robust percept

    Marc O. Ernst;Heinrich H. Bülthoff

  • Psychophysical support for a two-dimensional view interpolation theory of object recognition

    Heinrich H. Bulthoff;Shimon Edelman

  • Image-based object recognition in man, monkey and machine

    Michael J. Tarr;Hienrich H. Bülthoff

  • Separate neural pathways for the visual analysis of object shape in perception and prehension

    Melvyn A. Goodale;John Paul Meenan;Heinrich H. Bülthoff;David A. Nicolle

  • Orientation dependence in the recognition of familiar and novel views of three-dimensional objects.

    Shimon Edelman;Heinrich H. Bülthoff

  • Grasping Visual Illusions: No Evidence for a Dissociation Between Perception and Action

    Volker H. Franz;K. R. Gegenfurtner;H. H. Bülthoff;M. Fahle

  • Is human object recognition better described by geon structural descriptions or by multiple views? Comment on Biederman and Gerhardstein (1993).

    Michael J. Tarr;Heinrich H. Bülthoff

  • Integration of depth modules: stereo and shading

    Heinrich H. Bülthoff;Hanspeter A. Mallot

  • Inverse perspective mapping simplifies optical flow computation and obstacle detection

    Hanspeter A. Mallot;H. H. Bülthoff;J. J. Little;S. Bohrer

  • Face recognition under varying poses: The role of texture and shape

    Nikolaus F. Troje;Heinrich H. Bülthoff

  • View-dependent object recognition by monkeys

    N.K. Logothetis;J. Pauls;H.H. Bülthoff;T. Poggio

  • A Novel Overactuated Quadrotor Unmanned Aerial Vehicle: Modeling, Control, and Experimental Validation

    Markus Ryll;Heinrich H. Bulthoff;Paolo Robuffo Giordano

  • Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models

    Volker Blanz;Volker Blanz;Bernhard Schölkopf;Bernhard Schölkopf;Heinrich H. Bülthoff;Chris Burges

  • Touch can change visual slant perception

    Marc O. Ernst;Martin S. Banks;Heinrich H. Bülthoff

  • Where did I take that snapshot? Scene-based homing by image matching

    Matthias O. Franz;Bernhard Schölkopf;Hanspeter A. Mallot;Heinrich H. Bülthoff

  • Perceptual organization of local elements into global shapes in the human visual cortex.

    Christian F. Altmann;Heinrich H. Bülthoff;Zoe Kourtzi

  • Viewpoint Dependence in Visual and Haptic Object Recognition

    Fiona N. Newell;Marc O. Ernst;Bosco S. Tjan;Heinrich H. Bülthoff

  • Learning View Graphs for Robot Navigation

    Matthias O. Franz;Bernhard Schölkopf;Hanspeter A. Mallot;Heinrich H. Bülthoff

  • What object attributes determine canonical views

    Blanz;MJ Tarr;HH Bülthoff

  • Biologically Motivated Computer Vision: Second International Workshop

    HH Bülthoff;Lee S-W, Poggio, Ta;C Wallraven

  • Visual capture and the experience of having two bodies – Evidence from two different virtual reality techniques

    Lukas Heydrich;Trevor J. Dodds;Jane E. Aspell;Bruno Herbelin

  • Emotion categorization of body expressions in narrative scenarios

    Ekaterina P. Volkova;Betty J. Mohler;Trevor J. Dodds;Joachim Tesch

Frequent Co-Authors

Christian Wallraven
Christian Wallraven Korea University
Hanspeter A. Mallot
Hanspeter A. Mallot University of Tübingen
Betty J. Mohler
Betty J. Mohler Amazon (United States)
Karl R. Gegenfurtner
Karl R. Gegenfurtner University of Giessen
Bernhard E. Riecke
Bernhard E. Riecke Simon Fraser University
Antonio Franchi
Antonio Franchi University of Twente
Paolo Robuffo Giordano
Paolo Robuffo Giordano Max Planck Institute for Biological Cybernetics
Rolf Ulrich
Rolf Ulrich University of Tübingen
Max Mulder
Max Mulder University of Twente
Marc O. Ernst
Marc O. Ernst University of Ulm

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