Location: Oklahoma City , United States
Submission deadline: 6/13/2022
Conference dates: 10/16/2022 - 10/21/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 696 | 14 | 26 | 5 |
The following ranking presents a comprehensive evaluation of scientific conferences within the field of Computer Science. Developed by Research.com, a recognized authority in science research across all major disciplines since 2014, this ranking offers an independent and trusted assessment of conferences based on rigorous quantitative analysis.
Conference positions are determined using a proprietary bibliometric score designed by Research.com. This score incorporates two key factors: the estimated h-index and the number of distinguished scientists who have participated in each conference over the past three years. The methodology ensures that both the historical impact and contemporary relevance of each conference are accurately reflected.
Impact Score values used in this ranking were collected as of 2024-11-27, ensuring the results are current and reliable. The evaluation process entailed a thorough examination of more than 2,742 conferences, selected through detailed scrutiny and critical review. Over 148,739 scientific documents, authored by 13,184 leading and well-respected researchers, were analyzed from the past three years to provide a robust foundation for this assessment.
The depth and complexity of this ranking underscore the commitment of the Research.com team to delivering an objective and comprehensive resource for the Computer Science community. For a detailed explanation of the methodology used to compute the ranking scores, please 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 IEEE Symposium on Large Data Analysis and Visualization (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 Symposium on Large Data Analysis and Visualization (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 2020 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 71.43% were posted by at least one author from the top 10 institutions publishing at the conference. Another 28.57% 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.
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These related online degrees underscore the intersection of Computer Science with various fields, highlighting the importance of versatile education paths tailored to future career demands.
Lawrence Livermore National Laboratory
University of Notre Dame
University of California, Davis
TU Dresden
University of Utah
University of Illinois at Chicago
Lawrence Livermore National Laboratory
University of Utah
Imperial College London
Oak Ridge National Laboratory
University of Surrey
Nvidia (United States)
