会议信息

IMC 2026: Internet Measurement Conference

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截稿日期:
2026-04-22 已截稿
通知日期:
2026-08-04
会议日期:
2026-11-03
会议地点:
Karlsruhe, Germany
届数:
27
CCF: B   ICORE: A   QUALIS: A1   浏览: 109411   关注: 107   参加: 9
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会伴指数 (CP-I)

89.2 / 100
全站第 86 名 / 共 5,696 个会议 · 前 2%

电气与电子工程 第 3 / 512 网络与通信 第 12 / 865

学术认可 (35%)
100
投稿选择性 (20%)
86
会议传承 (20%)
90
社区关注 (10%)
70
资料公开度 (15%)
80

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A1 · 录用率：23.6%（有记录的 5 届的均值） · 有据可查的届次：27 · 在会伴关注它的研究者：107 人 · 过去 24 个月打开过本页的研究者：28 人

公开资料里还缺: 历届信息 (+3.0)
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 2026-10-15

征稿

IMC 2026 (Internet Measurement Conference) is a CCF B / ICORE A / QUALIS A1 conference held in Karlsruhe, Germany on 2026-11-03. The paper submission deadline is 2026-04-22. Acceptance notifications are sent on 2026-08-04.

The Internet Measurement Conference (IMC) is a highly selective venue for the presentation of measurement-based research in data communications. IMC takes a broad view of contributions that are considered in scope for improving the practice of network measurement, including, but not limited to: collection and analysis of data that yield new insights about network structure and network performance (e.g., traffic, topology, routing, energy utilization, performance) collection and analysis of data that yield new insights about application and end-user behavior (e.g., economics, privacy, security, application interaction with protocols) measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks, causality) methods and tools to monitor and visualize network-based phenomena systems and algorithms that build on measurement-based findings theoretical analysis and modeling of networked-systems and measurement techniques novel methods for data collection, analysis, and storage (e.g., anonymization, querying, sharing) reappraisal of previous empirical network measurements and measurement-based conclusions descriptions of challenges and future directions the measurement community should pursue Networks of interest include: Internet transit networks edge networks, including home networks, broadband access networks (e.g., cable, fiber), and cellular networks data center networks and cloud computing infrastructure peer-to-peer, overlay, and content distribution networks software-defined networks online social networks online services, platforms, and content providers experimental networks, prototype networks, and future internetworks
由 Dou Sun 最后更新于

录用率

平均录用率: 24.5% 20 年间 (2001–2020).

年份提交数录用数录用率(%)
20202165324.5%
20191973919.8%
20181744324.7%
20171794223.5%
20161824625.3%
20151694426%
20141884322.9%
20131784223.6%
20121834524.6%
20112204219.1%
20102114722.3%
20091834122.4%
20081853217.3%
2007862124.4%
20061553421.9%
20051483624.3%
20041573924.8%
20031093229.4%
2002933941.9%
2001531426.4%

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相关期刊

CCF全称影响因子出版商ISSN
Measurement5.2Elsevier0263-2241
Measurement: SensorsElsevier2665-9174
Measurement and Control1.300SAGE0020-2940
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
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