Academic Journal
Q1ACM Transactions on Graphics
About ACM Transactions on Graphics
ACM Transactions on Graphics is a scholarly journal published by Association for Computing Machinery. SCImago 2025 places it in Q1 with an SJR of 5.633 and an H-index of 279.
Its listed coverage is 1982-2025 and its research categories include Computer Graphics and Computer-Aided Design (Q1). The 2025 dataset reports 278 documents and 12739 citations across the latest three-year reporting window.
ACM Transactions on Graphics (TOG) is widely recognized as one of the most prestigious and authoritative journals in the field of computer graphics and interactive techniques. Published by the Association for Computing Machinery (ACM), TOG is the official journal of the ACM Special Interest Group on Graphics (SIGGRAPH) and serves as a leading platform for researchers, scientists, and professionals to share groundbreaking work in computer graphics.
What is ACM Transactions on Graphics?
Launched in 1982, ACM TOG publishes high-quality, peer-reviewed research articles that push the boundaries of innovation in computer graphics. It covers a wide range of topics including:
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Rendering and modeling
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Animation and simulation
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Computational photography
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Virtual and augmented reality
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Human-computer interaction
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3D reconstruction
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Graphics hardware and GPU programming
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Geometry processing
Each year, many of the top papers from the ACM SIGGRAPH and SIGGRAPH Asia conferences are published in TOG, reinforcing its reputation as the gold standard in graphics research.
Why is ACM TOG Important?
For anyone involved in computer graphics, whether in academia or industry, ACM Transactions on Graphics is a crucial resource. It provides access to the latest advancements and theoretical insights that shape the future of technology. The journal not only promotes academic excellence but also helps bridge the gap between research and real-world application, influencing everything from video game development and film production to medical imaging and scientific visualization.
Features of ACM Transactions on Graphics
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Peer-reviewed: Every paper undergoes rigorous peer review by experts in the field.
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High Impact Factor: TOG consistently ranks among the highest in terms of impact factor within computer science journals.
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Accessible via the ACM Digital Library: Subscribers can access thousands of papers and articles directly through the ACM Digital Library.
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Special SIGGRAPH Editions: Selected SIGGRAPH conference papers are published in special issues of TOG, giving researchers additional visibility and prestige.
Who Should Read ACM TOG?
Whether you're a PhD student, academic researcher, software developer, or industry professional, TOG is a valuable source of knowledge. Professionals working in fields such as CGI, visual effects, game development, and interactive media can benefit greatly from staying updated with TOG's latest publications.
How to Publish in ACM TOG?
Researchers interested in publishing with ACM TOG must submit original, high-quality manuscripts that contribute significantly to the field. Submissions are accepted year-round and are reviewed based on their technical merit, innovation, and clarity. Detailed submission guidelines are available on the TOG homepage.
Journal Metrics
Metrics can change by reporting year. Verify time-sensitive values with the publisher or indexing service.
Aims & Scope
ACM Transactions on Graphics (TOG) is one of the most prestigious and influential journals in the field of computer graphics and interactive techniques. Published by the Association for Computing Machinery (ACM), TOG serves as a premier platform for researchers, academicians, and industry professionals to share cutting-edge advancements in graphics research. The journal is particularly well known for publishing the proceedings of the annual SIGGRAPH and SIGGRAPH Asia conferences, two of the most prominent events in the graphics community.
Core Areas of Research
The scope of ACM TOG encompasses a broad range of topics related to computer graphics. These include, but are not limited to:
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3D Modeling and Geometry Processing: Research on shape representation, mesh processing, and reconstruction techniques.
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Rendering Techniques: Innovative approaches to photorealistic rendering, real-time graphics, global illumination, and physically-based rendering.
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Animation and Simulation: Algorithms for character animation, fluid dynamics, cloth simulation, and physically-based modeling.
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Imaging and Computational Photography: Advances in image processing, high dynamic range imaging, and camera technology.
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Human-Computer Interaction (HCI) and Visualization: Interactive graphics systems, data visualization, and immersive environments such as AR/VR.
Interdisciplinary Impact
ACM TOG encourages submissions that connect computer graphics with related disciplines, such as computer vision, machine learning, computational design, and human perception. This interdisciplinary approach supports the development of new technologies that bridge the gap between artistic creativity and technical precision.
Publication Standards and Peer Review
ACM TOG is known for its rigorous peer review process. Each submission undergoes a thorough evaluation by experts in the field to ensure that only the most innovative and high-quality work is published. This commitment to excellence makes TOG a trusted source for academic and industrial research alike.
Why Publish in ACM TOG?
Publishing in ACM Transactions on Graphics provides researchers with high visibility and credibility. As the official journal for SIGGRAPH proceedings, papers accepted in TOG receive international recognition and often set the direction for future research in the field. In addition, TOG articles are indexed in major scientific databases, increasing citation potential and academic impact.
Recent Research Articles
Latest publications matched automatically by ISSN.
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2026-10-31 · DOI: 10.1145/3839116Erratum: Loops2Roofs: Diffusion-based 3D Roof Generation using a Loop Representation
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2026-10-31 · DOI: 10.1145/3839109Erratum: Fiber-level Woven Fabric Capture from a Single Microscopic Image
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2026-10-31 · DOI: 10.1145/3839118Erratum: A Precision Controlled Surface-Surface Intersection Algorithm for NURBS
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2026-10-31 · DOI: 10.1145/3839107Erratum: OmniHands: Robust Motion Capture of Interactive Hands via A Versatile Transformer
Dixuan Lin, Yuxiang Zhang, Mengcheng Li, Wei Jing et al.
2026-10-31 · DOI: 10.1145/3839103Erratum: Guidestar-Free Adaptive Optics with Asymmetric Apertures
Weiyun Jiang, Haiyun Guo, Christopher A. Metzler, Ashok Veeraraghavan et al.
2026-10-31 · DOI: 10.1145/3839110Erratum: A Robust and Efficient Intersection Algorithm for NURBS Surfaces: Handling Small Loops and Tangent Intersections
Jieyin Yang, Xiaohong Jia
2026-10-31 · DOI: 10.1145/3839108Erratum: Tensor Decomposition-Based Four-dimensional Background-Oriented Schlieren Tomography for High-Speed, High-Fidelity Flow Field Reconstruction
Yuanzhe He, Yutao Zheng, Shijie Xu, Ning Liu et al.
2026-10-31 · DOI: 10.1145/3839104Erratum: Robust and Efficient Penetration-Free Elastodynamics without Barriers
Juntian Zheng, Zhaofeng Luo, Minchen Li
2026-10-31 · DOI: 10.1145/3839111Erratum: Generalized Aberrations for Processing-Aware Optical Design
Geoffroi Côté, Ethan Tseng, Felix Heide
2026-10-31 · DOI: 10.1145/3839119ShapeLib: Designing a library of programmatic 3D shape abstractions with Large Language Models
R. Kenny Jones, Paul Guerrero, Niloy Mitra, Daniel Ritchie et al.
2026-08-22 · DOI: 10.1145/3840293Worst-Case Non-parametric Shape Optimization
Yu Xing, Xiaoxuan Wang, Zherong Pan, Xifeng Gao et al.
2026-08-17 · DOI: 10.1145/3841629Gauge Equivariant Capsule Networks
Lisha Wang, Wenrui Dai, Junni Zou, Ziyang Zheng et al.
2026-08-15 · DOI: 10.1145/3840283Energy-Controllable Time Integration for Elastodynamic Contact
Kevin You, Juntian Zheng, Minchen Li
2026-08-12 · DOI: 10.1145/3840297RCPG: Real-Time Product Path Guiding Using Radiance Cascades
Julius Ikkala, Pekka Jääskeläinen, Markku Mäkitalo
2026-08-12 · DOI: 10.1145/3840291A Neural Frame Streaming Framework with a Simultaneous Prior for End-cloud Collaborative Rendering
Hangming Fan, Yazhen Yuan, Yongyu Ding, Yuwen Chen et al.
2026-08-08 · DOI: 10.1145/3832308Efficient Offset Mesh Generation with Preserved Features and Boundaries
Canjia Huang, Juan Cao, Bailin Deng, Jiangbo Huang et al.
2026-07-27 · DOI: 10.1145/3832781Pitfalls of Projection: A study of Newton-type solvers for incremental potentials
Andreas Longva, Fabian Löschner, José Antonio Fernández-Fernández, Egor Larionov et al.
2026-07-22 · DOI: 10.1145/3829351HIL: Hybrid Imitation Learning for Dynamic Athletic Control
Jiashun Wang, Yifeng Jiang, Haotian Zhang, Chen Tessler et al.
2026-07-15 · DOI: 10.1145/3829364Reviews
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April 15, 2025 at 3:45 am
April 15, 2025