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IEEE

Network Traffic Measurement and Analysis Conference (TMA)

Location: Enschede , Netherlands

Submission deadline: 2/24/2022

Conference dates: 6/27/2022 - 7/1/2022

Research H-index
3

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 864 14 9 3

Call for Papers

Topics of interest include, but are not limited to:

Traffic measurement, analysis, characterization, visualization and classification
Use of data analytics, data mining, artificial intelligence and machine learning in network measurement and analysis
Use of big data, high-rate processing and data reduction in network measurement, analysis and visualization
Measurements of data centers or cloud-based systems
Measurements of Software-Defined Networks (SDN) and Virtual Network Functions (VNF)
Measurements of home, mobile and wireless traffic including devices with multiple network paths
Application-layer measurements, including web services, social networks, mobile applications
Measurements of quality of service and quality of experience, for network services using audio, video, virtual/augmented reality and gaming
Measurements of network performance and network structure
Measurement of traditional and new protocols (e.g. TCP, MPTCP, HTTP/2, QUIC) and modes of communication (e.g. NFC and IoT)
Measurements on testbeds, experimental networks or prototype networks
Platforms for measurement, troubleshooting, management, and control of operational networks
Simulation and modelling for network measurements, analysis and visualization
Identification and classification of traffic, including encrypted and proprietary protocols
Techniques for and implications of privacy preservation, enhancement and anonymization in the context of traffic measurements
Applications of traffic analysis for security, anomaly/vulnerability/attack detection and user profiling/privacy
Current and emerging regulatory frameworks for measurement, analysis and privacy
Validation and repeatability of measurements, shared datasets, collaborative platforms

Overview

This page presents an authoritative ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—one of the leading platforms for science research across all major disciplines. Since 2014, Research.com has provided trusted and robust data on scientific contributions, supporting the global academic community in making informed decisions.

The position of each conference in this ranking is determined using a unique bibliometric score developed by Research.com. This score is calculated based on both the estimated h-index and the number of leading scientists who have participated in the conference over the three most recent years. The ranking includes up-to-date Impact Score values, which were gathered as of 2024-11-27, ensuring current and relevant performance metrics.

The selection and analysis process for this ranking exemplify significant depth and methodological rigor. More than 2,742 conferences were evaluated, chosen following a comprehensive review of over 148,739 scientific documents published in the past three years by 13,184 prominent and highly-regarded scientists in Computer Science. Each step of the process was designed to maintain the highest standards of accuracy, reliability, and academic excellence.

For readers interested in a detailed explanation of the methodologies and calculations underlying this ranking, further 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.

The top authors publishing at Traffic Monitoring and Analysis (based on the number of publications) are:

  • Dario Rossi (8 papers) absent at the last edition,
  • Marco Mellia (8 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Georg Carle (8 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Benoit Donnet (8 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Antonio Pescape (6 papers) published 2 papers at the last 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at Traffic Monitoring and Analysis (based on the number of publications) are:

  • Polytechnic University of Turin (10 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Technische Universität München (8 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Télécom ParisTech (7 papers) absent at the last edition,
  • University of Twente (6 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • University of Liège (6 papers) published 2 papers at the last edition the same number as 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, 10.34% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.31% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.08% of all publications and 19.23% 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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