Location: Boston , United States
Conference dates: 1/15/2023 - 1/21/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 553 | 6 | 10 | 7 |
This comprehensive ranking presents a curated list of scientific conferences in the field of Computer Science. The ranking has been meticulously prepared by Research.com, one of the leading websites dedicated to science research across all major disciplines. Since 2014, Research.com has established a strong reputation for providing trusted data on scientific contributions, and its expertise ensures the credibility and accuracy of these rankings.
Conference positions within the ranking are determined using a unique bibliometric score developed by Research.com. This proprietary metric is calculated based on two critical factors: the estimated h-index of each conference, and the number of leading scientists who have participated in the event over the preceding three years. The aim is to highlight conferences that have demonstrated significant scientific impact and have consistently attracted esteemed contributors.
For this edition, the Impact Score values were collected as of 2024-11-27, offering an up-to-date reflection of the performance and influence of each conference. The ranking process involved a rigorous examination of over 2,742 conferences, which were carefully selected following the detailed review of more than 148,739 scientific publications produced in the last three years by 13,184 leading and well-respected scientists in Computer Science. This exhaustive approach underscores the depth of analysis and the thoroughness of the methodology utilized by our experts.
To further explore the underlying methodology and the precise calculations used for determining the ranking scores, readers are encouraged to visit our Methodology Page for comprehensive details.
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 Symposium on Principles of Programming Languages (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 Symposium on Principles of Programming Languages (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, 1.59% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.81% were posted by at least one author from the top 10 institutions publishing at the conference. Another 24.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.81% of all publications and 24.19% 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.
Exploring alternative and complementary educational options can be valuable for students pursuing Computer Science in the USA. For those interested in data-centric roles, an online masters data science offers a flexible, affordable pathway to gain expertise in data analysis and machine learning, which are highly sought after in tech industries.
Design-focused careers also align closely with computing skills. Obtaining a ui ux design degree through online programs provides practical knowledge to create user-friendly digital products—a crucial skill in software development and tech innovation.
The rise of decentralized finance and cryptocurrencies has made blockchain technology a compelling field. Students may consider pursuing a blockchain masters degree online to specialize in blockchain, cryptocurrency, and fintech applications, expanding career possibilities in emerging tech sectors.
Artificial intelligence continues to transform industries, and earning a bachelor applied artificial intelligence can prepare graduates for roles in AI development, robotics, and automation. This degree equips students with cutting-edge skills to thrive in a rapidly evolving job market.
Aarhus University
Max Planck Institute for Security and Privacy
Tel Aviv University
Google (United States)
The University of Texas at Austin
Microsoft (United States)
University of New South Wales
Northeastern University
The University of Texas at Austin
Delft University of Technology
Purdue University West Lafayette
French Institute for Research in Computer Science and Automation - INRIA