Explore & Discover Scientific Journals

The journal, established in 1995, publishes original research in Virtual Reality, Augmented and Mixed Reality that shapes and informs the community. The multidisciplinary nature of the field means that submissions are welcomed on a wide range of topics including, but not limited to: Original research studies of Virtual Reality, Augmented Reality, Mixed Reality and real-time visualization applications Development and evaluation of systems, tools, techniques and software that advance the field, including: Display technologies, including Head Mounted Displays, simulators and immersive displays Haptic technologies, including novel devices, interaction and rendering Interaction management, including gesture control, eye gaze, biosensors and wearables Tracking technologies VR/AR/MR in medicine, including training, surgical simulation, rehabilitation, and tissue/organ modelling. Impactful and original applications and studies of VR/AR/MR’s utility in areas such as manufacturing, business, telecommunications, arts, education, design, entertainment and defence Research demonstrating new techniques and approaches to designing, building and evaluating virtual and augmented reality systems Original research studies assessing the social, ethical, data or legal aspects of VR/AR/MR.

The ACM Transactions on Storage (TOS) is a new journal with an intent to publish original archival papers in the area of storage and closely related disciplines. Articles that appear in TOS will tend either to present new techniques and concepts or to report novel experiences and experiments with practical systems. Storage is a broad and multidisciplinary area that comprises of network protocols, resource management, data backup, replication, recovery, devices, security, and theory of data coding, densities, and low-power. Potential synergies among these fields are expected to open up new research directions.

The International Journal of Networked and Distributed Computing publishes original articles on both theory and practice which address foundations, crucial challenges, state-of-the-art solutions and implications on all aspects of networked and distributed computing. As a driving force behind the ongoing technological revolution, networked and distributed computing has been transforming just about every part of the world we live in: the way we coordinate and communicate, the way we identify problems and solve them, the way we entertain and enjoy our lives and the way we perceive our future. Networked and distributed computing has touched on a wide range of issues with significant implications, from communication protocols, to the Internet, smartphones, pervasive and ubiquitous cities, etc. Like there are numerous benefits of networked and distributed computing, there are also crucial challenges associated with it. Networked and distributed computing should be more broadly applied to a variety of areas, such as robots, nano-technology, space/sea exploration, (green) energy management, etc. Ultimately, networked and distributed computing should lead to a better future, where distributed systems should help people to achieve their goals in an interoperable, secure, fast, usable and useful manner. Networked and distributed computing should answer what it is that we need, why we need it and how we can achieve it.

SIAM Journal on Imaging Sciences (SIIMS) covers all areas of imaging sciences, broadly interpreted. It includes image formation, image processing, image analysis, image interpretation and understanding, imaging-related machine learning, and inverse problems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields. The journal’s scope is meant to be broad enough to include areas now organized under the terms image processing, image analysis, computer graphics, computer vision, visual machine learning, and visualization. Formal approaches, at the level of mathematics and/or computations, as well as state-of-the-art practical results, are expected from manuscripts published in SIIMS. SIIMS is mathematically and computationally based, and offers a unique forum to highlight the commonality of methodology, models, and algorithms among diverse application areas of imaging sciences. SIIMS provides a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications. SIIMS covers a broad range of areas, including but not limited to image formation, image processing, image analysis, computer graphics, computer vision, visualization, image understanding, pattern analysis, machine intelligence, remote sensing, geoscience, signal processing, medical and biomedical imaging, and seismic imaging. The fundamental mathematical theories addressing imaging problems covered by SIIMS include, but are not limited to, harmonic analysis, partial differential equations, differential geometry, numerical analysis, information theory, learning, optimization, statistics, and probability. Research papers that innovate both in the fundamentals and in the applications are especially welcome. SIIMS focuses on conceptually new ideas, methods, and fundamentals as applied to all aspects of imaging sciences.