SAGE

i-Perception Template

Write in a clean editor, then format for i-Perception in one click — DocuGuru applies the official SAGE template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the i-Perception format

i-Perception is a peer-reviewed journal published by SAGE, covering Visual perception and processing mechanisms, Multisensory perception and integration, Color perception and design.

PublisherSAGE
Reference styleAuthor–year (Harvard)
Author–year — (Smith, 2023) in the text
Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', i-Perception, 12(3), pp. 45–58.

Formats any DOI in i-Perception style. No sign-up.

Publishes research inVisual perception and processing mechanisms Multisensory perception and integration Color perception and design Face Recognition and Perception Aesthetic Perception and Analysis
ISSN2041-6695
Citation impact (2-yr)0.97
h-index55
i10-index385
Total citations15,479
Article processing charge$650
Open accessYes
Top institutions publishing hereKU Leuven
Journal websiteus.sagepub.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in i-Perception per year

72
2014
58
2015
69
2016
108
2017
88
2018
71
2019
77
2020
77
2021
43
2022
54
2023
55
2024
56
2025

Citation impact of i-Perception by publication year

554
2014
955
2015
1.2K
2016
2.2K
2017
1.2K
2018
709
2019
1.1K
2020
1.2K
2021
344
2022
176
2023
95
2024
36
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in i-Perception

The Accuracy and Precision of Position and Orientation Tracking in the HTC Vive Virtual Reality System for Scientific Research

Diederick C. Niehorster, Li Li, Markus Lappe · 18 May 2017

The advent of inexpensive consumer virtual reality equipment enables many more researchers to study perception with naturally moving observers. One such system, the HTC Vive, offers a large field-of-view, high-resolution head mounted display together with a room-scale tracking system for less than a thousand U.S. dollars. If the position and orientation tracking of this system…

Components of Aesthetic Experience: Aesthetic Fascination, Aesthetic Appraisal, and Aesthetic Emotion

Slobodan Marković · 1 Jan 2012

In this paper aesthetic experience is defined as an experience qualitatively different from everyday experience and similar to other exceptional states of mind. Three crucial characteristics of aesthetic experience are discussed: fascination with an aesthetic object (high arousal and attention), appraisal of the symbolic reality of an object (high cognitive engagement), and a strong feeling…

Putting Reward in Art: A Tentative Prediction Error Account of Visual Art

Sander Van de Cruys, Johan Wagemans · 1 Jan 2011

The predictive coding model is increasingly and fruitfully used to explain a wide range of findings in perception. Here we discuss the potential of this model in explaining the mechanisms underlying aesthetic experiences. Traditionally art appreciation has been associated with concepts such as harmony, perceptual fluency, and the so-called good Gestalt. We observe that more…

Yarbus, Eye Movements, and Vision

Benjamin W. Tatler, Nicholas Wade, Hoi Kwan et al. · 1 Jan 2010

The impact of Yarbus's research on eye movements was enormous following the translation of his book Eye Movements and Vision into English in 1967. In stark contrast, the published material in English concerning his life is scant. We provide a brief biography of Yarbus and assess his impact on contemporary approaches to research on eye…

A Mismatch in the Human Realism of Face and Voice Produces an Uncanny Valley

Wade J. Mitchell, Kevin A. Szerszen, Amy Shirong Lu et al. · 1 Jan 2011

The uncanny valley has become synonymous with the uneasy feeling of viewing an animated character or robot that looks imperfectly human. Although previous uncanny valley experiments have focused on relations among a character's visual elements, the current experiment examines whether a mismatch in the human realism of a character's face and voice causes it to…

i-Perception template — frequently asked questions

How do I write a paper in the i-Perception format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the i-Perception template. When you export, DocuGuru compiles the paper into the official SAGE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does i-Perception use?
i-Perception uses Author–year (Harvard) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', i-Perception, 12(3), pp. 45–58.
Do I need to know LaTeX to submit to i-Perception?
No. DocuGuru generates the sagej LaTeX class and compiles the PDF for you in the background, so you get a SAGE-ready i-Perception document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the i-Perception template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the i-Perception format with correct headings, figures, tables, and author–year citations.
Who publishes i-Perception?
i-Perception is a multidisciplinary journal published by SAGE. DocuGuru's i-Perception template matches SAGE's official submission format.
Can I export a submission-ready i-Perception PDF?
Yes — DocuGuru produces a PDF built with the official i-Perception template (the sagej class) that is ready to submit to SAGE, together with the matching LaTeX source files.
How much does the i-Perception template cost?
You can start writing in the i-Perception template for free. Exporting the final submission-ready i-Perception PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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