Location: Montreal, QC , Canada
Submission deadline: 7/25/2022
Conference dates: 2/25/2023 - 3/1/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 22 | 47 | 65 | 26 |
| Computer Science | 51 | 134 | 198 | 34 |
This page features the authoritative ranking of scientific conferences in the field of Computer Science, carefully curated and maintained by Research.com. As one of the world’s leading platforms for science research data across all major academic domains—including Computer Science—Research.com has been providing reliable and trusted metrics on scientific contributions since 2014.
The ranking methodology is grounded in a proprietary bibliometric score developed exclusively by Research.com. This unique score reflects both the estimated h-index and the number of leading scientists who have presented at the respective conferences over the three most recent years. The Impact Score values for this ranking were collected as of 2024-11-27, ensuring that the evaluation is both current and relevant.
The comprehensive process behind this ranking involved the rigorous examination of more than 2,742 computer science conferences. These were selected after a detailed review of over 148,739 scientific documents published in the last three years, contributions made by 13,184 distinguished and highly respected scientists dedicated to advancing the field of Computer Science.
This depth of analysis reflects the commitment of the Research.com expert team to provide the academic and research community with rankings that are both credible and insightful. For those interested in the detailed methodology behind these computations, please refer to our Methodology Page.
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 High-Performance Computer Architecture (based on the number of publications) are:
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 High-Performance Computer Architecture (based on the number of publications) are:
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.
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, 1.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.53% were posted by at least one author from the top 10 institutions publishing at the conference. Another 30.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.59% of all publications and 25.00% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
For those interested in expanding their expertise in computer science, pursuing specialized online degrees offers a flexible and affordable way to advance. Many students explore the cheapest online data science masters programs to gain skills in analyzing complex data, a critical asset in today’s data-driven industries.
Design-focused roles are also in high demand, with numerous universities offering online options for a ux design degree. These programs equip students with the ability to create user-friendly interfaces and enhance digital experiences, bridging the gap between technology and human interaction.
Emerging technologies such as blockchain and digital currencies have created new educational opportunities. Those intrigued by finance and technology convergence can pursue a degree in cryptocurrency, preparing for careers in fintech, secure transaction systems, and innovative digital solutions.
Finally, degrees like the applied artificial intelligence bachelor provide foundational knowledge in AI, enabling graduates to work on intelligent systems, automation, and machine learning projects that are transforming multiple sectors.
ETH Zurich
Illinois Institute of Technology
University of Illinois at Urbana-Champaign
University of California, Los Angeles
Meta Platforms, Inc.
Tsinghua University
Tsinghua University
Intel (United States)
Pennsylvania State University
Microsoft (United States)
Ghent University
University of Toronto