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IEEE

2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

Location: Singapore , Singapore

Submission deadline: 12/14/2021

Conference dates: 5/22/2022 - 5/24/2022

Research H-index
15

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 195 73 92 15

Call for Papers

Papers are solicited in fields that include the following:

Performance and efficiency (power, area, etc.) evaluation methodologies
Analytical modeling
Statistical approaches
Tracing and profiling tools
Simulation techniques
Hardware (e.g., FPGA) accelerated simulation
Hardware performance counter architectures
Power, temperature, variability and/or reliability models for computer systems
Microbenchmark-based hardware analysis techniques

Foundations of performance and efficiency analysis
Metrics
Bottleneck identification and analysis
Visualization

Efficiency and performance analysis of commercial and experimental hardware
Multi-threaded, multicore and many-core architectures
Accelerators and graphics processing units
Memory systems, including storage-class memory
Embedded and mobile systems
Enterprise systems and data centers
HPC and Supercomputers
Computer networks
Quantum computing
Emerging technologies

Efficiency and performance analysis of emerging workloads and software
Software written in managed languages
Virtualization and consolidation workloads
Datacenter, internet-sector workloads
Embedded, multimedia, games, telepresence
Deep learning and convolutional neural networks

Application and system code tuning and optimization

Confirmations or refutations of important prior results

Overview

This authoritative ranking presents a comprehensive overview of scientific conferences in the field of Computer Science. Developed by Research.com—a leading and trusted platform for scientific research metrics and insights across all major fields since 2014—this listing aims to provide researchers, institutions, and professionals with a reliable reference when evaluating top venues for scholarly contributions in Computer Science.

The position of each conference in the ranking is determined by a unique bibliometric score, meticulously crafted by the Research.com expert team. This score integrates both the estimated h-index of a conference and the number of leading scientists who have contributed to the conference over the last three years, offering a multifaceted perspective on conference impact and prestige. The presented Impact Score values were gathered as of 2024-11-27.

To ensure comprehensive and credible results, the ranking process encompassed the evaluation of more than 2,742 conferences. These were selected following detailed inspection and rigorous examination of over 148,739 scientific documents published within the last three years by 13,184 distinguished and highly respected computer science researchers. This robust and transparent methodology underscores the depth and complexity of analysis undertaken by Research.com's experts.

For an in-depth explanation of the procedures and criteria used in computing the ranking scores, please visit 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 Performance Analysis of Systems and Software (based on the number of publications) are:

  • Lieven Eeckhout (11 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Stijn Eyerman (8 papers) published 1 paper at the last edition,
  • Yan Solihin (6 papers) published 1 paper at the last edition,
  • Erik Hagersten (5 papers) absent at the last edition,
  • Lizy K. John (5 papers) published 4 papers 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 Symposium on Performance Analysis of Systems and Software (based on the number of publications) are:

  • IBM (21 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Intel (20 papers) published 2 papers at the last edition,
  • University of Texas at Austin (13 papers) published 4 papers at the last edition,
  • North Carolina State University (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Ghent University (12 papers) published 1 paper at the last edition the same number as 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, 2.86% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.35% were posted by at least one author from the top 10 institutions publishing at the conference. Another 17.65% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 35.29% of all publications and 14.71% 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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