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IEEE

ISIT 2021 : IEEE International Symposium on Information Theory (ISIT)

Location: Melbourne , Australia

Submission deadline: 2/3/2021

Conference dates: 7/11/2021 - 7/11/2021

Research H-index
30

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 21 147 592 26
Computer Science 65 266 911 29

Call for Papers

Interested authors are encouraged to submit previously unpublished contributions from a broad range of topics related to information theory, including but not limited to the following areas:

Communication and Storage Coding
Coding Theory
Coded and Distributed Computing
Combinatorics and Information Theory
Communication Theory
Compressed Sensing and Sparsity
Cryptography and Security
Detection and Estimation
Deep Learning for Networks
Distributed Storage
Emerging Applications of IT
Information Theory and Statistics
Information Theory in Biology
Information Theory in CS
Information Theory in Data Science
Learning Theory
Network Coding and Applications
Network Data Analysis
Network Information Theory
Pattern Recognition and ML
Privacy in Information Processing
Quantum Information Theory
Shannon Theory
Signal Processing
Source Coding and Data Compression
Wireless Communication
Submitted and published manuscripts should not exceed 5 pages in length plus an optional extra page containing references only. Submitted manuscripts should be of sufficient detail to be evaluated by expert reviewers in the field.

Paper submission deadline: January 10, 2021

Notification of acceptance: March 26, 2021

Accepted papers must be presented by an author in person. International attendees wishing to attend ISIT 2021 must be aware of Australian visa requirements. Attendees requiring a visa are advised to begin the visa application process immediately after acceptance notification.

Overview

This comprehensive ranking showcases the leading scientific conferences in the field of Computer Science, providing researchers and practitioners with an authoritative resource for identifying premier venues for scholarly engagement. The ranking has been meticulously developed by Research.com, a trusted platform recognized since 2014 for delivering reliable and insightful data on scientific contributions across all major academic disciplines, including Computer Science.

Each conference's position in the ranking is determined using a unique bibliometric score innovatively designed by Research.com. This score is calculated based on the estimated h-index and the number of leading scientists who have contributed to the conference proceedings in the preceding three years. The presented Impact Score values were systematically compiled as of 2024-11-27, ensuring the timeliness and relevancy of the data.

The rigorous ranking process involved a thorough review of more than 2,742 conferences, which were selected following detailed inspection and methodical appraisal of over 148,739 scientific documents published in the last three years by a cohort of 13,184 of the most respected and influential scientists in Computer Science. This meticulous approach underscores the depth of research and the high standard of analytical expertise invested in creating this ranking.

For a comprehensive explanation of the metrics and criteria used to compute the ranking scores, please refer to 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 International Symposium on Information Theory (based on the number of publications) are:

  • H. Vincent Poor (104 papers) published 3 papers at the last edition, 9 less than at the previous edition,
  • Eitan Yaakobi (87 papers) published 9 papers at the last edition, 2 less than at the previous edition,
  • Shlomo Shamai (78 papers) published 1 paper at the last edition,
  • Giuseppe Caire (77 papers) published 6 papers at the last edition, 2 less than at the previous edition,
  • Vincent Y. F. Tan (67 papers) published 2 papers at the last edition, 5 less than 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at International Symposium on Information Theory (based on the number of publications) are:

  • Technion – Israel Institute of Technology (379 papers) published 28 papers at the last edition, 4 more than at the previous edition,
  • Stanford University (246 papers) published 19 papers at the last edition, 8 more than at the previous edition,
  • Massachusetts Institute of Technology (238 papers) published 9 papers at the last edition, 3 less than at the previous edition,
  • Princeton University (223 papers) published 7 papers at the last edition, 4 less than at the previous edition,
  • École Polytechnique Fédérale de Lausanne (222 papers) published 7 papers at the last edition, 2 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, 1.05% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.91% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.99% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.43% of all publications and 40.67% 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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