World's Best Scientists 2026 revealed!
ACM

51st International Conference on Parallel Processing (ICPP)

Location: Bordeaux , France

Submission deadline: 4/14/2022

Conference dates: 8/29/2022 - 9/1/2022

Research H-index
13

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 673 7 9 3
Computer Science 240 98 133 13

Call for Papers

ICPP is a premier venue for presenting the latest research on all aspects of parallel processing. Topics of interest in ICPP 2022 papers include, but are not limited to:

Algorithms: Parallel and Distributed Algorithms, Parallel and Distributed Combinatorial & Numerical Methods, Scheduling Algorithms for Parallel and Distributed Applications and Platforms, Algorithmic Innovations for Parallel and Distributed Machine Learning.
Applications: Parallel and Distributed Applications, Scalable Data Analytics & Applied Machine Learning, Computational and Data-driven Science & Engineering (e.g., astrophysics, computational chemistry, bioinformatics, climate science, finance, geology).
Architecture: Micro-Architecture for Parallel Computing, Parallel Computer Architecture and Accelerators Designs, Datacenter/Warehouse Computing Architecture, Machine Learning Architectures, Architectural Support for Networking, New Memory Technologies, Near-Memory Computing, Parallel I/O, Architectures for Edge Computing, Architectural Support for Reliability and Security.
Multidisciplinary: Work where the innovation comes from the combination of more than one discipline and is cross-cutting. Examples include but are not limited to: complex workflows that include elements of data analytics and/or models based on AI/ML in addition to traditional simulations, or work that applies a known algorithm in an innovative way to emerging applications, or proposes a methodology for performance portability and/or productivity across different architectures for a known algorithm.
Performance: Performance Modeling of Parallel or Distributed Computing, Performance Evaluation of Parallel or Distributed Systems; Scalability; Simulation Models; Analytical Models; Measurement-based Evaluation.
Software: Systems Software, Middleware, Runtime Systems, Parallel and Distributed Programming Languages & Models, Programming Systems, Compilers, Libraries, Programming Infrastructures and Tools, Operating and Real-Time Systems.

Overview

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science. It has been meticulously prepared by Research.com, a leading authority recognized for delivering trusted and systematic data on scientific contributions across all major fields since 2014. The assessment leverages a unique bibliometric score developed by Research.com, which is calculated using a combination of estimated h-index values and the number of leading scientists who have participated in each conference during the previous three years.

The ranking utilizes Impact Score values compiled as of 2024-11-27, ensuring that the findings reflect the most up-to-date and accurate insights. The methodology behind the ranking is distinguished by its thoroughness and depth: more than 2,742 conferences were evaluated following a rigorous, multi-step selection process. This effort involved a detailed inspection of over 148,739 scientific documents published in the past three years by 13,184 prominent and influential scientists specializing in Computer Science.

The result is a highly credible and authoritative ranking, underpinned by extensive data analysis and expert curation. For a comprehensive explanation of the ranking methodology and the calculation of bibliometric 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 Conference on Parallel Processing (based on the number of publications) are:

  • Dhabaleswar K. Panda (25 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Yves Robert (18 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Jack Dongarra (17 papers) published 1 paper at the last edition,
  • Haiying Shen (17 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Yong Chen (15 papers) published 1 paper at the last edition, 1 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 Conference on Parallel Processing (based on the number of publications) are:

  • Ohio State University (57 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • IBM (55 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Tsinghua University (47 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Oak Ridge National Laboratory (45 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Argonne National Laboratory (38 papers) published 2 papers at the last edition, 1 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 2017 edition, 5.53% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.83% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.70% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.83% of all publications and 60.64% 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

Exploring related online degrees can broaden your career options beyond traditional computer science roles. For example, a strong understanding of human behavior can complement tech skills, making an psychology online degree an intriguing option. It helps in fields like user experience (UX) design and artificial intelligence.

Cost is often a concern for students. That's why discovering the online degree in psychology programs can provide budget-friendly alternatives while expanding knowledge related to the human-computer interaction domain.

For those interested in creative tech roles, earning a game design online degree offers a pathway into the booming video game industry, combining programming with artistry and storytelling.

In today’s digital world, cybersecurity expertise is in high demand. Pursuing a cybersecurity masters online can elevate your qualifications, preparing you to protect systems and data across industries.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles