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ICCS 2027: International Conference on Computational Science

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截稿日期:
2027-02-05 还有 121 天
通知日期:
2027-04-05
会议日期:
2027-07-12
会议地点:
Krakow, Poland
届数:
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QUALIS: A2   浏览: 63188   关注: 66   参加: 18
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会伴指数 (CP-I)

74.0 / 100
全站第 277 名 / 共 5,694 个会议 · 前 5%

系统与体系结构 第 52 / 341

学术认可 (35%)
92
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
90
社区关注 (10%)
56
资料公开度 (15%)
55

用到的输入: 收录等级：QUALIS A2 · 有据可查的届次：27 · 在会伴关注它的研究者：66 人 · 过去 24 个月打开过本页的研究者：7 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 1.1 · 算于 2026-10-07

征稿

ICCS 2027 (International Conference on Computational Science) is a QUALIS A2 conference held in Krakow, Poland on 2027-07-12. The paper submission deadline is 2027-02-05. Acceptance notifications are sent on 2027-04-05.

Scope and Topics Authors are invited to submit manuscripts reporting original, unpublished research and recent developments in Computational Sciences. All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS) series and submitted for indexing to the major abstracting and indexing services, including the Conference Proceedings Citation Index (CPCI, part of Clarivate Analytics’ Web of Science), DBLP, Scopus, the EI Engineering (Compendex, Inspec), the ACM Digital Library, and Google Scholar (for further information, see the “Indexing and Distribution” section on the main Springer LNCS webpage). The papers will contain linked references, XML versions and citable DOI numbers. ICCS 2027 invites original contributions on all topics related to Computational Science, including, but not limited to: Scientific Computing Problem Solving Environments Advanced Numerical Algorithms Mixed-precision Modelling Algorithms New Algorithmic Approaches to Computational Kernels and Applications Web-, Mobile- and Cloud-based Simulation and Computing Parallel and Distributed Computing Advanced Computing Architectures and New Programming Models Extreme-Scale Data Management and I/O in Computational Science Applications Complex Systems: Modeling and Simulation Complex Networks Models and High Performance simulations System Dynamics Models Artificial Intelligence in Scientific Computing Modelling Approaches using Unconventional Computing Massive Agent Based models Uncertainty Quantification Approaches for Automated Simulation Development Hybrid Computational Methods Applications of Computation as a Scientific Paradigm Visualization and Virtual Reality as Applied to Computational Science Computational Physics Large Scale Scientific Instruments Quantum Computing Medical and Biomedical Computational Science Computational Humanities Computational Sociology Computational Models of Cognition and Behavior Strategic Behavior Modeling and Market Design Education in Computational Science The conference theme this year is “Natural Intelligence meets Artificial Intelligence for Scientific Computing”.
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