International Journal of Virtual Reality

Aims & Scope

IJVR is a peer-reviewed journal that publishes (since 1995!) original research in the areas of immersive technologies and their uses: Virtual Reality, Augmented Reality, Mixed Reality, globally called “XR”. International Journal of Virtual Reality solicits contributions describing original research results in all fields of “X Reality” (XR). Papers may come from any area of XR activity, from academia or industry. IJVR seeks contributions addressing, for example: Health : Surgery, Handicap, Healthcare, Training, Education, Medicine, Mental health, Addiction, Phobia, … Human Centered Experience : Presence, Self-presence, Virtual embodiment, Incarnation, Cognition, Earth day/ethic, Ethical issues in VR/AR/MR, Transhumanism, Social experience, Education, Culture, Human factors, Perception, Teleoperation and telepresence, Virtual humans and avatars, Multi-user and distributed VR/AR/MR, Living in a virtual collaborative world, User eXperience, 3D interaction for VR/AR/MR, 3DUI metaphors for VR/AR/MR, … Design & Creativity : Engineering design, Sharing ideas, Cocreation, Live scenarios, Data viz, Training, Content creation, Interactive 3D production, 360 acquisition Systems, Volumetric Scanning & Reconstruction, Immersive Storytelling, Modeling and simulation, Arts, Engineering Design, Ideation, Creativity, Links to CAD software, … Industry 4.0 : Training, Maintenance, CAD, Practical cases, … New technology & Cross technology : Artificial intelligence, IoT, BIM, Big data, Hard & Soft dedicated to XR, Multimodal interfaces, Advanced or experimental display technology (e.g. Light Fields), Immersive projection technology, Computer graphics techniques, Visual, Audio, Tactile interfaces, Emerging related technologies, Robotics, 3D Print, Drones, Light field, Low Tech VR, Ubiquitous Computing, Tracking and sensing, Input devices for VR/AR/MR, Locomotion and navigation in virtual environments, Haptics, Sensors, …

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

Subject Classification