会议信息

eScience 2026: IEEE International Conference On E-Science

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截稿日期:
2026-05-18 已截稿
通知日期:
2026-06-29
会议日期:
2026-09-28
会议地点:
Naples, Italy
届数:
22
ICORE: B   QUALIS: B5   浏览: 66030   关注: 8   参加: 3
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eScience
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会伴指数 (CP-I)

69.5 / 100
全站第 350 名 / 共 5,738 个会议 · 前 7%
学术认可 (35%)
72
投稿选择性 (20%)
70
会议传承 (20%)
84
社区关注 (10%)
37
资料公开度 (15%)
65

用到的输入: 收录等级：ICORE B, QUALIS B5 · 录用率：37%（有记录的 5 届的均值） · 有据可查的届次：22 · 在会伴关注它的研究者：8 人 · 过去 24 个月打开过本页的研究者：7 人

公开资料里还缺: 历届信息 (+3.0) · 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 100% —— 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 2026-10-20

征稿

eScience 2026 (IEEE International Conference On E-Science) is a ICORE B / QUALIS B5 conference held in Naples, Italy on 2026-09-28. The paper submission deadline is 2026-05-18. Acceptance notifications are sent on 2026-06-29.

The 22nd IEEE International eScience Conference (eScience’26) will be held in Naples from September 28 to October 2, 2026. eScience studies, enacts, and improves the ongoing process of innovation in computationally intensive or data-intensive research methods; typically, this is carried out collaboratively, often using distributed computing infrastructure. eScience encompasses all fields of research and addresses all stages of the research lifecycle, from formulation of the research questions, through large-scale simulations and data analytics, scientific discovery, up to long-term sharing, publication, reusing, and reapplying of the results, data, as well as the relevant tools, processes, and knowledge. eScience’26 welcomes paper submissions for its technical program. The conference will be an interdisciplinary forum for researchers, developers, and users of applications and enabling IT technologies. The conference welcomes conceptualization, implementation, and experience contributions that will allow and drive innovation in data- and compute-intensive research. eScience covers all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities. Infrastructure and technologies can span a broad spectrum, including HPC, cloud, IoT, and artificial intelligence and machine learning methods. Submissions may include all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. Ideal papers involve the interplay between applications and infrastructure technologies, with an emphasis on novelty in one or both. Topics of interest related to eScience also include, but are not limited to: Artificial intelligence, machine learning, data science, generative AI, and large language models are/applicable in science Research computing cyberinfrastructure (e.g., cloud, cluster, HPC, supercomputer) Findable, Accessible, Interoperable, Reusable (FAIR) principles for scientific software, data, workflows, and models Reproducible and replicable eScience Translational research in computer and computational sciences Continuum computing: convergence between cloud computing, edge computing, and/or the Internet of Things (IoT) Education and e-Science Collaborative, reproducible, and replicable eScience Science gateways, data portals, and digital repositories Resource management and scheduling Programming paradigms and models Real-time (time-sensitive) computing (e.g., for scientific instruments) Automation and event-based computing Big data stacks and significant data ecosystems File and storage systems, I/O, and data management Scientific applications, algorithms, tools, and technologies Scientific workflows and distributed computing paradigms (e.g., FaaS) Blockchain technologies in science Fault tolerance, resilience, and security
由 Dou Sun 最后更新于

录用率

平均录用率: 33.8% 11 年间 (2005–2015).

年份提交数录用数录用率(%)
20151233125.2%
20141013837.6%
2013984141.8%
20121544831.2%
20111105449.1%
20101424431%
20091775128.8%
20082066029.1%
20072066029.1%
20061606037.5%
20051755430.9%

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CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
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