World's Best Scientists 2026 revealed!
ACM

ACM Special Interest Group on Data Communication (SIGCOMM) (COMM)

Location: New York , United States

Conference dates: 9/10/2023 - 9/14/2023

Research H-index
44

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 30 41 55 23
Computer Science 35 205 258 44

Call for Papers

SIGCOMM takes a broad view of networking, and welcomes submissions on these topics, among others:

All types of computer networks, including mobile, wide-area, data center, embedded, home, and enterprise networks.
All types of wired and wireless technologies, including optics, radio, acoustic, and visible light-based communication.
All aspects of networks and networked systems, such as network architecture, packet-processing hardware and software, virtualization, mobility, resource management, performance, energy consumption, topology, robustness, security, diagnosis, verification, privacy, economics, evolution, and interactions with applications.
All parts of the network life cycle, including planning, designing, building, operating, troubleshooting, and migrations.
All approaches and techniques, including theory, analysis, experiments, and machine learning.
SIGCOMM 2023 will accept submissions in three tracks:

Overview

This comprehensive ranking presents a curated list of scientific conferences in the field of Engineering and Technology, reflecting the most influential events in the discipline. Developed by Research.com, a leading authority on science research across all major domains since 2014, this resource is recognized for providing trusted and up-to-date data on scientific contributions.

The position of each conference in the ranking is determined by Research.com’s unique bibliometric score. This score is meticulously calculated using both the estimated h-index of the conference and the number of distinguished scientists who have presented at the conference within the last three years. The Impact Score values featured in this edition have been collected as of 2024-11-27, ensuring their relevance and accuracy.

The ranking process was comprehensive, involving a rigorous assessment of more than 2,262 conferences which were hand-selected after a detailed examination of over 26,934 scientific documents published in the previous three years. This analysis incorporated contributions from 9,385 leading and well-respected scientists within Engineering and Technology, underscoring the depth and credibility of the evaluation.

To ensure transparency, further information about the methodology and the criteria for computing the ranking scores can be accessed 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 ACM Special Interest Group on Data Communication (based on the number of publications) are:

  • Scott Shenker (82 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Jennifer Rexford (79 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Jon Crowcroft (66 papers) absent at the last edition,
  • Nick Feamster (58 papers) absent at the last edition,
  • Nick McKeown (50 papers) absent 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 ACM Special Interest Group on Data Communication (based on the number of publications) are:

  • Microsoft (219 papers) published 9 papers at the last edition, 3 more than at the previous edition,
  • Massachusetts Institute of Technology (175 papers) published 6 papers at the last edition the same number as at the previous edition,
  • University of California, Berkeley (149 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • University of California, San Diego (133 papers) published 3 papers at the last edition, 4 less than at the previous edition,
  • Princeton University (128 papers) published 5 papers at the last edition, 4 less 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 2021 edition, 3.12% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.23% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.10% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 34.68% 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.

Related Online Degrees & Career Pathways

Pursuing a degree in computer science in the USA opens doors to diverse related fields and career paths. For those interested in data-driven decision-making, a master in data analytics provides specialized skills to analyze complex data sets and support business strategies. This is an excellent option for professionals looking to deepen their expertise in data interpretation and management.

For advanced research roles, earning an online PhD data science offers the opportunity to contribute to innovative projects in artificial intelligence, machine learning, and big data technologies. These programs often combine rigorous coursework with hands-on research, preparing graduates for academic or high-level industry positions.

Another promising area is bioinformatics, where computing meets biology. Discovering what to do with a bioinformatics degree reveals careers ranging from healthcare analysis to pharmaceuticals, highlighting how computer science skills can revolutionize life sciences.

Lastly, the growing demand for health technology experts has expanded online study options in medicine. Exploring online healthcare programs can guide aspiring professionals towards degrees that integrate computing with healthcare, enabling roles such as health informatics specialists or telemedicine developers.

Best Scientists who published in this Conference

Recently Published Articles