Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:1.10
Contributing Best Scientists:9
H5-index:
Papers published by Best Scientists9
Research Ranking (Computer Science)192
Research Ranking (Neuroscience)9
Research Ranking (Neuroscience)9
Research Ranking (Computer Science)139
Conference Call for Papers
Each research paper should provide a validated contribution covering one or more of the following categories: methodological, technical, applications, and systems.
Methodological papers should describe advances in theories and methods of AR/VR/MR and 3DUI, such as ethical issues, theories on presence, or human factors.
Technical papers should describe advancements in algorithms or devices critical to AR/VR/MR and 3DUI development such as input, display, user interaction, or tracking.
Application papers provide an important insight to the community by explaining how the authors built upon existing ideas and applied them to solve an interesting problem in a novel way. Each paper should include an evaluation of the success of the use of AR/VR/MR and/or 3DUI in the given application domain.
System papers should indicate how the developers integrated techniques and technologies to produce an effective system, and convey any lessons learned in the process.
Overview
Top Research Topics at IEEE Virtual Reality Conference?
Virtual reality (50.38%)
Human–computer interaction (32.06%)
Artificial intelligence (26.19%)
Virtual reality, Human–computer interaction, Artificial intelligence, Computer vision and Multimedia are the subjects of interest in IEEE Virtual Reality Conference.
Topics in Virtual reality explored in the conference were investigated in conjunction with research in Virtual machine, User interface, Immersion (virtual reality), Simulation and Visualization.
The Visualization works, particularly on Data visualization are tackled in the conference.
The research on Human–computer interaction tackled can also make contributions to studies in the areas of Human-centered computing, Task (project management) and Haptic technology.
The conference dives deep in exploring the relationship between the study of Artificial intelligence and Perception.
The event investigates Computer vision research which frequently intersects with Computer graphics (images).
Computer-mediated reality is a major topic of Mixed reality research.
What are the most cited papers published at the conference?
Virtual fixtures: Perceptual tools for telerobotic manipulation (468 citations)
Travel in immersive virtual environments: an evaluation of viewpoint motion control techniques (407 citations)
Inertial head-tracker sensor fusion by a complementary separate-bias Kalman filter (372 citations)
Research areas of the most cited articles at IEEE Virtual Reality Conference:
The most cited publications are mainly concerned with subjects like Virtual reality, Artificial intelligence, Computer vision, Human–computer interaction and User interface.
The conference papers focus on Virtual reality but the discussions also offer insight into other areas such as Virtual machine, Multimedia, Immersion (virtual reality) and Simulation, Haptic technology.
The studies on Computer vision discussed at the most cited publications can also contribute to research in the domains of Computer graphics (images) and Computer graphics.
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.
Research.com
Top authors and change 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.
Research.com
Top affiliations and change over time
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.
Research.com
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.
Research.com
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.
Research.com
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.
Research.com
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.
