Location: Rome , Italy
Submission deadline: 4/6/2022
Conference dates: 9/12/2022 - 9/16/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 337 | 53 | 70 | 10 |
This page presents a comprehensive ranking of scientific conferences in the field of Computer Science, meticulously developed by Research.com—one of the leading platforms for science research and trusted data provision across all major academic domains since 2014. Research.com’s strong reputation in tracking scholarly contributions provides the basis for a rigorous and authoritative ranking system.
Each conference’s position within this ranking is determined through a proprietary bibliometric score, uniquely formulated by Research.com. This score integrates the estimated h-index and the number of leading scientists who have contributed to the conference over the last three years, thereby reflecting both scientific impact and the engagement of prominent researchers.
Notably, the Impact Score values underlying this ranking were gathered as of 2024-11-27, ensuring the relevance and currency of the data. The process of ranking involved an extensive evaluation of more than 2,742 conferences, each selected after detailed inspection and stringent analysis. This was based on a thorough review of over 148,739 scientific documents published during the last three years, authored by 13,184 leading and well-respected scientists in Computer Science.
This multifaceted approach underscores the depth of research and the expert-level scrutiny that inform the final rankings. For a detailed explanation of the methodology and calculation of the unique 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 Symposium on Visual Languages and Human-Centric Computing (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 Visual Languages and Human-Centric Computing (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 100.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.
Pursuing an online degree in computer science or a related field offers flexible options tailored to different career goals. For students eager to enter the workforce quickly, an accelerated computer science degree provides an efficient timeline without compromising on core knowledge.
Data science continues to be a fast-growing area, blending computer science with statistics and analytics. Those interested can explore some of the most cost-effective programs by reviewing the data science programs available in the USA, balancing quality education with affordability.
On the cutting edge of technology, advanced studies like a PhD in artificial intelligence USA open doors to research and development roles that drive innovation in AI.
Cybersecurity is another critical domain, with a strong demand for qualified professionals. An accelerated cyber security degree online is ideal for those seeking to protect digital infrastructure and respond swiftly to emerging threats.
Choosing the right program depends on individual goals, whether it’s speed, affordability, or specialization. Online pathways ensure greater access and adaptability in the fast-evolving tech landscape.
North Carolina State University
Monash University
Microsoft (United States)
University of California, San Diego
Vanderbilt University
Peking University
University of Maryland, College Park
IBM (United States)
Oregon State University
Microsoft (United States)
University of Washington
University of Applied Sciences and Arts Northwestern Switzerland
