Location: Vienna , Austria
Submission deadline: 4/22/2022
Conference dates: 8/22/2022 - 8/26/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 4 | 21 | 39 | 6 |
| Computer Science | 425 | 56 | 80 | 8 |
The Computer Science Conference Ranking presented on this page is a comprehensive and authoritative assessment of scientific conferences within the field of Computer Science. This ranking has been meticulously developed by Research.com, one of the leading platforms for science research across all major academic disciplines. Since 2014, Research.com has provided the scientific community with trusted data and rigorous analyses of scientific contributions, supporting scholars and professionals in identifying impactful research venues.
The ranking methodology is founded on a unique bibliometric score, purpose-built by Research.com to accurately reflect the influence of each conference. This score is computed by analyzing both the estimated h-index and the number of leading scientists who have actively participated in the conference over the past three years. By synthesizing these factors, the ranking offers a robust indicator of each conference’s academic impact and its significance within the Computer Science research community.
For the 2024 edition, Impact Score values have been gathered as of 2024-11-27, ensuring that the information presented is both current and highly relevant. The evaluation process for this ranking involved a thorough examination of more than 2,742 conferences. These conferences were carefully selected following detailed scrutiny and a rigorous review of over 148,739 scientific documents published during the preceding three years by 13,184 leading and well-respected scientists specializing in Computer Science.
This exhaustive and systematic approach underscores the depth and reliability of the ranking, reflecting the expertise and analytical rigor of the Research.com team. Readers interested in learning more about the precise methodology used for computing the ranking scores are encouraged to consult 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 Mathematical Foundations of Computer Science (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 Mathematical Foundations of Computer Science (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, 7.07% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.26% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.22% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 26.09% of all publications and 30.43% 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 the field of Computer Science in the USA opens up various specialized online degree options tailored for different interests and career goals. For those eager to speed up their education, the best online computer science degree programs offer flexible and accelerated paths without compromising quality.
Data science remains a highly sought-after domain, especially given its impact on business and technology. Students looking for budget-friendly choices can consider programs highlighted under the cheapest data science degree to gain valuable skills in data analysis and machine learning without heavy financial burdens.
With the rise of intelligent systems, an ai degree programs can prepare learners for future-proof careers, focusing on areas such as machine learning, natural language processing, and robotics.
Cybersecurity is another critical sector offering numerous job opportunities. For students aiming for a quick entry into this field, the fastest cyber security degree programs provide accelerated paths to develop expertise in protecting digital infrastructure.
Institute of Mathematical Sciences
Masaryk University
Max Planck Institute for Software Systems
University of Liverpool
University of Helsinki
Hebrew University of Jerusalem
University of Oxford
RWTH Aachen University
University of Trier
University of Oxford
City University of New York
Masaryk University