Location: Austin , United States
Conference dates: 12/5/2022 - 12/9/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 112 | 130 | 152 | 21 |
This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, offering a data-driven resource for scholars, researchers, and academic institutions. Created by Research.com, a recognized leader in providing trusted scientific data across all major research disciplines since 2014, this ranking leverages both depth and accuracy to highlight conferences that have demonstrated notable academic impact.
The position of each conference in this ranking is determined by a unique bibliometric score developed by Research.com. This score is meticulously computed by analyzing the estimated h-index alongside the number of leading scientists who have participated in the respective conference over the preceding three years. By integrating these critical indicators, the ranking provides an objective measure of each conference's scientific influence and reputation within the academic community.
For this edition, Impact Score values were gathered on 2024-11-27. The ranking process entailed a rigorous selection and examination of more than 2,742 conferences, chosen after an extensive review of over 148,739 scientific documents published during the last three years. The evaluation centered on contributions by 13,184 leading and well-respected scientists in the Computer Science domain, ensuring that only those conferences demonstrating consistent scholarly excellence are included.
This approach underscores the dedication and expertise invested in the ranking's creation, guaranteeing its credibility and relevance for the academic community. For a comprehensive overview of the processes and metrics involved in computing the ranking scores, 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 Annual Computer Security Applications Conference (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 Annual Computer Security Applications Conference (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, 21.57% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.80% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.45% of all publications and 41.18% 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.
As the tech industry evolves rapidly, pursuing specialized online degrees can open doors to promising career paths in computer science. For instance, earning an online masters in data science equips students with skills to analyze big data and make data-driven decisions, a crucial asset across sectors.
Another growing field is user experience design. A ui ux masters degree online can prepare graduates to design intuitive digital products, blending creativity with technical expertise.
For those interested in emerging technologies, online programs in blockchain offer exciting opportunities. A blockchain degree provides knowledge about cryptocurrencies, fintech innovations, and secure decentralized systems.
Additionally, a bachelor applied artificial intelligence can launch careers in AI development, machine learning, and automation, fields increasingly integral to tech-driven industries.
Choosing the right online degree aligned with your interests and career goals is key to staying competitive in the dynamic world of computer science.
Vrije Universiteit Amsterdam
Duke University
Virginia Tech
Georgia Institute of Technology
Stony Brook University
Arizona State University
Northeastern University
King Abdullah University of Science and Technology
Technical University of Darmstadt
University of Adelaide
Max Planck Institute for Security and Privacy
University of Michigan–Ann Arbor