Conference Information

IMC 2026: Internet Measurement Conference

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Submission Date:
2026-04-22
Notification Date:
2026-08-04
Conference Date:
2026-11-03
Location:
Karlsruhe, Germany
Years:
27
CCF: B   ICORE: A   QUALIS: A1   Viewed: 108203   Tracked: 107   Attend: 9

Conference Partner Index (CP-I)

89.2 / 100
Ranked #76 of 5,650 conferences · Top 2%

#3 of 507 in Electrical & Electronic Engineering #11 of 862 in Networks & Communications

Academic recognition (35%)
100
Submission selectivity (20%)
86
Editions held (20%)
90
Community attention (10%)
70
Public record completeness (15%)
80

Inputs used: Listed as CCF B, ICORE A, QUALIS A1 · Acceptance rate: 23.6% (mean of 5 editions on file) · Editions on record: 27 · Researchers following it here: 107 · Researchers who opened this page in the past 24 months: 27

Missing from the public record: Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-04

Call For Papers

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
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 24.5% over 20 years (2001–2020).

YearSubmittedAcceptedAccepted(%)
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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Related Journals

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Measurement5.2Elsevier0263-2241
Measurement: SensorsElsevier2665-9174
Measurement and Control1.300SAGE0020-2940
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BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
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BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050

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