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IEEE

IPCCC 2021 : IEEE International Performance, Computing, and Communications Conference (IPCCC)

Location: Austin , United States

Submission deadline: 6/22/2021

Conference dates: 10/29/2021 - 10/29/2021

Research H-index
8

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 426 15 24 5
Computer Science 486 54 65 7

Call for Papers

Topics of interest include, but are not limited to:


Big Data Processing and Analytics
Edge Computing
Crowdsourcing Systems
Cyber Physical Systems
Data Centers and Cloud Computing
Embedded Systems
Internet of Things
Network Protocols
Multimedia Networking
Network Data Mining
Security and Privacy
Ubiquitous Computing
Software Defined Networking
Cache, Memory, and Disk Storage Systems
Fundamental Theory and Algorithms for Computing and Communication Systems
Named Data Networking
Mobile Augmented/Virtual/Mixed Reality
Blockchain and Distributed Ledger
Internet Services and Network Management
Many-core and Heterogeneous Computing
Mobile Ad Hoc, Sensor and Mesh Networks
Network Information Assurance and Security
Online Social Network Analysis
Parallel and Distributed Systems
Performance Evaluation and Modeling for Computing and Communication Systems
Smart Grid and Intelligent Mission Critical Operations
Smart Health Systems, Wearable, and Implantable Systems
Smartphone and Mobile Applications
Wireless Communication and Networks
Workload Characterization & its Impacts on Architecture Design
Networks on Chip
AI-assisted Networking and Systems

Overview

This page presents a comprehensive ranking of scientific conferences in the field of Computer Science. The ranking has been meticulously prepared by Research.com, recognized as one of the leading platforms for science research across all major disciplines. Since 2014, Research.com has provided trusted, reliable data on scientific contributions, continually supporting the academic community in evaluating research impact with precision.

Each conference’s position in the ranking is determined by a unique bibliometric score, expertly developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of leading scientists who have contributed to or appeared at the conference over the past three years. The resulting Impact Score values, collected as of 2024-11-27, offer a current and reflective measure of each conference’s influence on the academic landscape.

The scope and rigor of this ranking are underscored by the extensive evaluation process. More than 2,742 conferences were considered, following a thorough inspection and analysis of over 148,739 scientific documents published during the last three years. This substantial review involved the academic contributions of 13,184 leading and highly respected scientists within the Computer Science domain.

To ensure full transparency and to further inform readers about the evaluation process, a detailed explanation of the methodology for computing the ranking scores 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 International Performance, Computing, and Communications Conference (based on the number of publications) are:

  • Xiao Qin (9 papers) absent at the last edition,
  • Longjiang Guo (7 papers) absent at the last edition,
  • Liehuang Zhu (7 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Fan Wu (7 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Song Fu (7 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 International Performance, Computing, and Communications Conference (based on the number of publications) are:

  • Tsinghua University (27 papers) published 3 papers at the last edition, 10 less than at the previous edition,
  • Chinese Academy of Sciences (27 papers) published 11 papers at the last edition, 5 more than at the previous edition,
  • Beijing Institute of Technology (15 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • University of North Carolina at Charlotte (10 papers) published 2 papers at the last edition,
  • University of Texas at San Antonio (10 papers) published 1 paper at the last 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 2018 edition, 6.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.89% of all publications and 37.35% 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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