ACM Transactions on Applied Perception

Papers
(The TQCC of ACM Transactions on Applied Perception is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
The Duration of an Auditory Icon Can Affect How the Listener Interprets Its Meaning23
Display-Size Dependent Effects of 3D Viewing on Subjective Impressions17
Personality Expression Using Co-Speech Gesture16
Exploring the Effects of Self-Overlapping Spaces on Distance Perception and Action Judgments16
Efficient Dataflow Modeling of Peripheral Encoding in the Human Visual System12
Twin Identification over Viewpoint Change: A Deep Convolutional Neural Network Surpasses Humans11
Identifying Lines and Interpreting Vertical Jumps in Eye Tracking Studies of Reading Text and Code11
The Effects on Driving Behavior When Using a Head-mounted Display in a Dynamic Driving Simulator10
Vibrotactile Threshold Measurements at the Wrist Using Parallel Vibration Actuators9
Exploring the Relative Effects of Body Position and Locomotion Method on Presence and Cybersickness when Navigating a Virtual Environment9
Introduction to the Special Issue on SAP 20248
Experience Matters: Longitudinal Changes in Sensitivity to Rotational Gains in Virtual Reality8
Design and Validation of a Virtual Reality Mental Rotation Test7
The Pulfrich Effect in Virtual Reality6
Virtual and Traditional Memory Palaces in Recall with ADHD6
Motor Variability in Complex Gesture Learning: Effects of Movement Sonification and Musical Background6
Introduction to the Special Issue on SAP 20216
On the Immersive Properties of High Dynamic Range Video6
Facial Feature Manipulation for Trait Portrayal in Realistic and Cartoon-Rendered Characters5
Improving the Perception of Mid-air Tactile Shapes with Spatio-temporally-modulated Tactile Pointers5
Creating Word Paintings Jointly Considering Semantics, Attention, and Aesthetics5
Learning GAN-Based Foveated Reconstruction to Recover Perceptually Important Image Features5
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