World's Best Scientists 2026 revealed!
ACM

Symposium on Virtual Reality Software and Technology (VRST)

Location: Tsukuba , Japan

Submission deadline: 7/18/2022

Conference dates: 11/29/2022 - 12/1/2022

Research H-index
16

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 174 66 122 16

Call for Papers

Main Topics
VRST 2022 welcomes paper submissions relating (but not limited) to the following areas:

VR/AR/MR(=XR) technology and devices
Advanced display technologies and immersive simulations
Low-latency and high-performance XR
Multi-user and distributed XR
XR software infrastructures and authoring systems
User interaction and collaborative interaction techniques for XR
Input devices for XR
Tracking and sensing for XR
Multisensory and multimodal system for XR
Brain-computer interfaces for XR
Haptics, smell, and taste interfaces for XR
Audio and music processing for XR
Sound synthesis and sonification for XR
Computer vision and computer graphics for XR
Immersive analytics
Modeling and simulation techniques
Rendering techniques for XR
Avatars and virtual humans
Tele-operation and telepresence
Performance testing, user experience, and empirical studies
Locomotion and navigation in virtual environments
Perception, presence, virtual embodiment, and cognition
Teleoperation and telepresence
Application of XR (e.g. training systems, medical systems, fabrication etc.)
Innovative HCI approaches in XR
Multi-disciplinary research projects involving innovative use of XR
XR System Contributions

Overview

The ranking featured on this page provides a comprehensive evaluation of scientific conferences within the field of Computer Science. Prepared by Research.com, a leading authority in the provision of reliable scientific data since 2014, this listing serves as a trusted resource for academics and professionals seeking information on conference excellence. Research.com is distinguished for its commitment to delivering authoritative data across all major research disciplines, including Computer Science.

Each conference’s position in the ranking is determined by a unique bibliometric score developed by Research.com. This metric is calculated using a combination of the estimated h-index from recent publications and the number of leading scientists who have actively participated in the conference during the past three years. The Impact Score values presented here reflect data collected as of 2024-11-27, ensuring the information is both current and robust.

The rigorous ranking process involved a meticulous review of over 2,742 conferences, selected through a detailed examination of more than 148,739 scientific documents published over the last three years. These documents were authored by 13,184 leading and highly regarded scientists specializing in Computer Science, underlining the depth and reliability of the analysis undertaken.

Further insight into the specific methodology and criteria used in compiling these rankings is available on our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at Virtual Reality Software and Technology (based on the number of publications) are:

  • Marc Erich Latoschik (17 papers) absent at the last edition,
  • Anatole Lécuyer (16 papers) absent at the last edition,
  • Gerard Jounghyun Kim (14 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Tobias Hollerer (13 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Anthony Steed (10 papers) published 4 papers at the last edition, 3 more than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at Virtual Reality Software and Technology (based on the number of publications) are:

  • French Institute for Research in Computer Science and Automation (23 papers) absent at the last edition,
  • University of Tokyo (21 papers) published 6 papers at the last edition, 3 more than at the previous edition,
  • University of Würzburg (17 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Korea University (16 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Chinese Academy of Sciences (15 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2018 edition, 3.76% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.28% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.47% of all publications and 47.66% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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