---
title: "SIGGRAPH (A*): papers and universities"
description: "SIGGRAPH (ACM SIG International Conference on Computer Graphics and Interactive Techniques) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 383 of its papers from 2024–2026 (118 in 2024, 132 in 2025, 133 in 2026). By the countries of the authors' institutions, the most papers come from the United States (192), China (129) and France (40)."
url: https://scholar4ai.com/proceedings/siggraph
markdown_url: https://scholar4ai.com/proceedings/siggraph.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "SIGGRAPH (ACM SIG International Conference on Computer Graphics and Interactive Techniques) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 383 of its papers from 2024–2026 (118 in 2024, 132 in… (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# SIGGRAPH: ACM SIG International Conference on Computer Graphics and Interactive Techniques — papers and institutions, 2024–2026

Papers of SIGGRAPH, ACM SIG International Conference on Computer Graphics and Interactive Techniques (CORE rank A*; field: Graphics, augmented reality and games, Computer vision and multimedia computation, Human-centred computing), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- SIGGRAPH (ACM SIG International Conference on Computer Graphics and Interactive Techniques) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 383 of its papers from 2024–2026 (118 in 2024, 132 in 2025, 133 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (192), China (129) and France (40).
- The institutions with the most papers are Zhejiang University (26), Tsinghua University (25) and University of Utah (23).
- Its most-cited paper of these years is “A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets” (2024), with 192 citations.

## Papers per year

*SIGGRAPH papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 118 | 117 |
| 2025 | 132 | 128 |
| 2026 | 133 | 133 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S185367456](https://openalex.org/S185367456) | Conference-linked journal (issue 4) |

## Who publishes there

*Institutions with the most SIGGRAPH papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 26 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 25 |
| 3 | University of Utah | 23 |
| 4 | Carnegie Mellon University | 20 |
| 5 | Institut national de recherche en sciences et technologies du numérique | 19 |
| 6 | Nvidia (United States) | 19 |
| 7 | [Stanford University](https://scholar4ai.com/institutions/stanford-university.md) | 19 |
| 8 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 18 |
| 9 | [University of Hong Kong](https://scholar4ai.com/institutions/university-of-hong-kong.md) | 18 |
| 10 | University of California San Diego | 17 |

*Countries with the most SIGGRAPH papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 192 |
| 2 | China | 129 |
| 3 | France | 40 |
| 4 | Germany | 33 |
| 5 | Switzerland | 32 |
| 6 | Canada | 30 |
| 7 | Hong Kong | 30 |
| 8 | United Kingdom | 22 |
| 9 | South Korea | 16 |
| 10 | Japan | 13 |

*Keywords with the most SIGGRAPH papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | diffusion models | 17 |
| 2 | real-time rendering | 16 |
| 3 | 3D Gaussian Splatting | 13 |
| 4 | signed distance function | 13 |
| 5 | inverse rendering | 12 |
| 6 | differentiable rendering | 11 |
| 7 | triangular meshes | 11 |
| 8 | fluid simulation | 8 |
| 9 | path tracing | 8 |
| 10 | point clouds | 8 |

## Most-cited papers

*Most-cited SIGGRAPH papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 192 | [A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets](https://doi.org/10.1145/3658160) | 2024-07-19 | Bernhard Kerbl, Andréas Meuleman, Georgios Kopanas et al. |
| 2 | 164 | [CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets](https://doi.org/10.1145/3658146) | 2024-07-19 | Longwen Zhang, Ziyu Wang, Qixuan Zhang et al. |
| 3 | 103 | [StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering](https://doi.org/10.1145/3658187) | 2024-07-19 | Lukas Radl, Michael Steiner, Mathias Parger et al. |
| 4 | 85 | [DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models](https://doi.org/10.1145/3658221) | 2024-07-19 | Zhiyao Sun, Tian Shan Lv, Sheng Ye et al. |
| 5 | 68 | [BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry](https://doi.org/10.1145/3658129) | 2024-07-19 | Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman et al. |
| 6 | 64 | [TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts](https://doi.org/10.1145/3658205) | 2024-07-19 | Jingyu Zhuang, Di Kang, Yan‐Pei Cao et al. |
| 7 | 62 | [Training-Free Consistent Text-to-Image Generation](https://doi.org/10.1145/3658157) | 2024-07-19 | Yoad Tewel, Omri Kaduri, Rinon Gal et al. |
| 8 | 47 | [Transparent Image Layer Diffusion using Latent Transparency](https://doi.org/10.1145/3658150) | 2024-07-19 | Lvmin Zhang, Maneesh Agrawala |
| 9 | 46 | [ColorVideoVDP: A visual difference predictor for image, video and display distortions](https://doi.org/10.1145/3658144) | 2024-07-19 | Rafał Mantiuk, Param Hanji, Maliha Ashraf et al. |
| 10 | 46 | [DressCode: Autoregressively Sewing and Generating Garments from Text Guidance](https://doi.org/10.1145/3658147) | 2024-07-19 | Kai He, Kaixin Yao, Qixuan Zhang et al. |

## Cite this page

Scholar4AI. (2026). SIGGRAPH: ACM SIG International Conference on Computer Graphics and Interactive Techniques — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/siggraph

```bibtex
@misc{scholar4ai-proceedings-siggraph,
  author = {{Scholar4AI}},
  title = {SIGGRAPH: ACM SIG International Conference on Computer Graphics and Interactive Techniques — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/siggraph}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).