2022 Internet Measurement Conference (IMC)

Name: Internet Measurement Conference
Start: 2022-10-25
End: 2022-10-27
Location: Nice

Location: Nice , France

Submission deadline: 5/18/2022

Conference dates: 10/25/2022 - 10/27/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Computer Science	75	103	183	28

Call for Papers

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

Overview

This carefully curated ranking presents a comprehensive list of scientific conferences in the field of Computer Science. The ranking has been developed by Research.com, recognized as one of the leading platforms for science research across all major disciplines, including Computer Science. Since 2014, Research.com has provided trusted, data-driven insights into scientific contributions, offering researchers and professionals reliable information for informed decision-making.

The position of each conference in this ranking is determined by a unique bibliometric score, meticulously designed by Research.com. This score is calculated based on the estimated h-index and the number of leading scientists who have participated in the conference during the three most recent years. The Impact Score values presented in this ranking were collected as of 2024-11-27, ensuring up-to-date and relevant data for the academic community.

The process of establishing the ranking was grounded in a thorough analysis, involving the evaluation of over 2,742 conferences. These conferences were selected following a detailed and rigorous examination process, which included the scrutiny of more than 148,739 scientific documents published over the last three years. The analysis also encompassed contributions from 13,184 leading and well-respected scientists specializing in Computer Science, further enhancing the credibility and comprehensiveness of the results.

For those interested in a deeper understanding of the robust and expert-driven methodology employed in computing these ranking scores, detailed information is available on our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at Internet Measurement Conference (based on the number of publications) are:

Christo Wilson (18 papers) published 1 paper at the last edition, 2 less than at the previous edition,
Vern Paxson (18 papers) published 2 papers at the last edition the same number as at the previous edition,
Alan Mislove (18 papers) published 3 papers at the last edition the same number as at the previous edition,
Paul Barford (15 papers) published 2 papers at the last edition the same number as at the previous edition,
Anja Feldmann (15 papers) published 2 papers at the last edition the same number as at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Internet Measurement Conference (based on the number of publications) are:

University of California, San Diego (45 papers) published 7 papers at the last edition, 4 more than at the previous edition,
AT&T Labs (38 papers) published 2 papers at the last edition, 1 more than at the previous edition,
University of Wisconsin-Madison (32 papers) published 2 papers at the last edition, 1 less than at the previous edition,
Georgia Institute of Technology (27 papers) published 1 paper at the last edition,
Microsoft (27 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2017 edition, 2.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 45.24% were posted by at least one author from the top 10 institutions publishing at the conference. Another 4.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.57% of all publications and 21.43% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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