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IEEE

IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

Location: Shnaghai , China

Submission deadline: 10/7/2022

Conference dates: 3/25/2023 - 3/29/2023

Research H-index
29

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 67 142 237 29
Neuroscience 19 6 7 3

Call for Papers

IEEE VR 2023 seeks contributions in VR/AR/MR and 3DUI including, but not limited to, the following topics:

3D and volumetric display and projection technology
3D authoring
3D user interaction
3DUI metaphors
Accessibility of immersive interfaces
Audio interfaces and rendering
Collaborative interactions
Computer graphics techniques
Crowd simulation
Diversity and gender issues
Embodied agents, virtual humans and (self-)avatars
Ethical issues
Evaluation methods
Haptic interfaces and rendering
Human factors and ergonomics
Immersive / 360° video
Immersive analytics and visualization
Immersive games
Input devices
Locomotion and navigation
Mediated and diminished reality
Mobile, desktop or hybrid 3DUIs
Modeling and simulation
Multi-user and distributed systems
Multimodal capturing and reconstruction
Multimodal/cross-modal interaction and perception
Multisensory interfaces and rendering
Perception and cognition
Presence, body ownership, and agency
Scene description and management issues
Software architectures, toolkits, and engineering
Teleoperation and telepresence
Therapy and rehabilitation
Touch, tangible and gesture interfaces
Tracking and sensing
User experience and usability

Overview

The ranking presented on this page showcases the leading scientific conferences in the field of Computer Science, offering an authoritative reference for both researchers and institutions. This ranking has been meticulously developed by Research.com, a premier platform in the scientific community, recognized for providing trusted and comprehensive data on scientific contributions across all major disciplines since 2014.

The conferences are ranked according to a unique bibliometric score devised by Research.com, which integrates the estimated h-index with the number of leading scientists who have presented at the conference during the previous three years. Impact Score values were systematically gathered on 2024-11-27, ensuring the most up-to-date and robust assessment possible.

An extensive process underpins this ranking: more than 2,742 conferences were considered after a detailed and rigorous evaluation of over 148,739 scientific documents published within the last three years. These publications involve research conducted by 13,184 distinguished scientists, each recognized as a leader and highly respected authority within the Computer Science community.

This rigorous analytical approach ensures that the ranking robustly reflects both the scholarly impact and the scientific prominence of each conference, providing valuable guidance for academic decision-making and scholarly engagement. For further clarity and a comprehensive explanation of our data collection and analysis techniques, we invite you to review the full methodology 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 IEEE Virtual Reality Conference (based on the number of publications) are:

  • Mark Bolas (20 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Evan A. Suma (17 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Stefania Serafin (17 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • J. Edward Swan (15 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Anatole Lécuyer (13 papers) published 2 papers at the last edition, 1 less 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 IEEE Virtual Reality Conference (based on the number of publications) are:

  • Osaka University (28 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • University of Tokyo (22 papers) published 2 papers at the last edition, 9 less than at the previous edition,
  • University of North Carolina at Chapel Hill (19 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Virginia Tech (19 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Mississippi State University (17 papers) published 5 papers at the last edition, 2 more than at the previous 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 2016 edition, 35.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.21% were posted by at least one author from the top 10 institutions publishing at the conference. Another 16.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.22% of all publications and 33.33% 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.

Career Opportunities in Virtual Reality

Amidst the growing interest in virtual reality – evidenced by topics discussed in conferences such as the IEEE Virtual Reality Conference – various career opportunities have begun to surface in this field. Not only does this sector require professionals with specific qualifications and skills in the engineering and computer science aspects, but also professionals who specialize in human psychology and communication. One such career that has gained significant prominence in the Virtual Reality industry is that of a Speech-Language Pathologist. In the case of virtual reality applications intended for therapeutic uses, Speech-Language Pathologists can aid in designing and implementing VR systems that encourage speech and language improvement.

Pursuing a career as a Speech-Language Pathologist particularly in a thriving hub such as Alaska, comes with its own set of unique opportunities and challenges. The northern state is known for its innovative approach to healthcare, making it an ideal place for professionals keen on experimenting with new technologies like Virtual Reality. For those interested in exploring this path, understanding how to be a Speech Therapist in Alaska is crucial to embarking on this rewarding journey at the intersection of Virtual Reality and Speech-Language Pathology.

Related Online Degrees & Career Pathways

For those interested in pursuing advanced education alongside a Computer Science degree, specialized fields like data analytics offer promising opportunities. Exploring a masters in data analytics can help students develop skills in interpreting complex datasets, which is increasingly valuable across industries.

For professionals seeking the highest level of expertise, an online data science phd provides pathways into research and leadership roles within tech and academia, merging advanced computation with real-world challenges.

Another emerging interdisciplinary option is bioinformatics, where coding meets biology. With a bioinformatics degree salary and jobs reflecting strong demand, this field offers careers that combine computer science expertise with life sciences.

Additionally, for those interested in healthcare technologies, various online healthcare programs enable integration of computing skills with medical knowledge, leading to innovative solutions in patient care and health data management.

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