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GMP 2027: International Conference on Geometric Modeling and Processing

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截稿日期:
2026-12-14 还有 35 天
通知日期:
2027-04-26
会议日期:
2027-06-21
会议地点:
Singapore
届数:
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CCF: C   ICORE: C   QUALIS: B2   浏览: 60636   关注: 22   参加: 7
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会伴指数 (CP-I)

63.5 / 100
全站第 500 名 / 共 5,771 个会议 · 前 9%

计算机图形学与多媒体 第 24 / 151

学术认可 (35%)
68
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
83
社区关注 (10%)
48
资料公开度 (15%)
55

用到的输入: 收录等级：CCF C, ICORE C, QUALIS B2 · 有据可查的届次：21 · 在会伴关注它的研究者：22 人 · 过去 24 个月打开过本页的研究者：10 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-09

征稿

GMP 2027 (International Conference on Geometric Modeling and Processing) is a CCF C / ICORE C / QUALIS B2 conference held in Singapore on 2027-06-21. The paper submission deadline is 2026-12-14. Acceptance notifications are sent on 2027-04-26.

Geometric Modeling and Processing (GMP) 2027 will be co-located in Singapore with the Symposium on Solid and Physical Modeling (SPM), the SIAM conference on Computational Geometric Design, the Symposium on Geometry Processing (SGP), and Shape Modeling International (SMI) as part of the International Geometry Summit 2027. The International Conference on Geometric Modeling and Processing (GMP) is an annual event focused on geometric modeling, simulation, and computing. Geometric data modeling and processing are fundamental to numerous applications in computer graphics, computer vision, CAD/CAM, medical imaging, engineering analysis, robotics, additive manufacturing, and scientific computing. GMP serves as a forum where researchers and practitioners exchange ideas, explore new applications, and present innovative solutions. GMP is recognized as one of ASIAGRAPHICS' three flagship conferences. Since its inaugural event in Pittsburgh, USA, in 2006, the conference has been hosted in Asia, Europe, and North America. GMP 2027 invites submissions of full-length papers on topics including, but not limited to: Computational design, manufacturing, and 3D printing Computational geometry and topology Discrete differential geometry Geometric content generation Geometric feature modeling and recognition Geometric learning/data-driven approaches Isogeometric analysis Image-based modeling Material modeling Mathematical foundations of computer-aided geometric design Multi-resolution and heterogeneous modeling Shape and solid representation Shape optimization
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