Location: Austin , United States
Submission deadline: 7/15/2022
Conference dates: 11/6/2022 - 11/8/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 277 | 64 | 63 | 12 |
This page presents the latest ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com, a recognized leader in providing trusted research data across all major scientific disciplines since 2014. The ranking employs a unique and robust bibliometric score, developed by Research.com, which is calculated by integrating the estimated h-index and the number of leading scientists contributing to each conference over the three most recent years.
The current ranking is based on comprehensive Impact Score values collected as of 2024-11-27. The evaluation process encompassed more than 2,742 conferences, each selected after a thorough and systematic examination of over 148,739 scientific documents published in the last three years by 13,184 distinguished scientists specializing in Computer Science. This rigorous approach ensures that each conference's position reflects both the quality of research presented and the active participation of top-tier scientists in the field.
For a detailed explanation of the ranking score computation and the criteria involved, 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 IEEE International Symposium on Workload Characterization (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 IEEE International Symposium on Workload Characterization (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 2016 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.48% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.24% of all publications and 34.48% 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 students studying Computer Science in the USA, exploring specialized online degrees can open doors to diverse and dynamic career paths. Programs like the best online data science masters offer vital skills in analyzing and interpreting large datasets, which are increasingly valuable across industries.
Similarly, for those interested in design and user interaction, pursuing a ui ux masters degree online enables learners to craft engaging and intuitive digital experiences, blending creativity with technical know-how.
Blockchain technology also presents exciting opportunities. Students can deepen their knowledge by obtaining a master in blockchain, preparing them for roles in emerging fields such as cryptocurrency, decentralized finance, and secure digital transactions.
Artificial intelligence continues to reshape technology and business. An ms in applied artificial intelligence equips graduates with the expertise needed for innovative roles in machine learning, automation, and data-driven decision-making.
University of Illinois at Urbana-Champaign
Intel (United States)
Pennsylvania State University
Meta Platforms, Inc.
National and Kapodistrian University of Athens
The University of Texas at Austin
Uppsala University
University of Utah
University of Michigan–Ann Arbor
Shanghai Jiao Tong University
Georgia Institute of Technology
Purdue University West Lafayette
