Location: Singapore City , Singapore
Conference dates: 3/10/2023 - 3/12/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 845 | 26 | 32 | 3 |
The scientific conference ranking featured on this page offers a comprehensive evaluation of conferences in the field of Computer Science. Compiled by Research.com, one of the foremost websites dedicated to scientific research across all major disciplines, this ranking provides trusted data and insights on scholarly contributions, with a particular focus on the Computer Science community since 2014.
Conferences are positioned in the ranking according to a proprietary bibliometric score developed by Research.com. This score uniquely integrates two key metrics: the estimated h-index of conferences and the number of leading scientists who have participated or published at each conference over the preceding three years. This approach ensures a balanced assessment that reflects both scientific impact and the presence of distinguished contributors.
Impact Score values for the current edition were gathered as of 2024-11-27, ensuring the ranking reflects the most up-to-date research activity and trends. The methodology for constructing this ranking was exceptionally rigorous, involving the examination of more than 2,742 conferences. These conferences were carefully selected following an in-depth review process that analyzed over 148,739 scientific documents published in the past three years. The assessment incorporated the work of 13,184 leading and well-respected scientists specializing in Computer Science, further underscoring the depth and accuracy of the analysis.
The ranking aims to provide academics, institutions, and professionals with a reliable benchmark for evaluating the impact and prestige of scientific conferences in Computer Science. For a comprehensive explanation of the methodology and metrics used in creating this ranking, please visit 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 Machine Vision Applications (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 Machine Vision Applications (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 2019 edition, 3.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.43% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.23% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.64% of all publications and 74.70% 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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German Research Centre for Artificial Intelligence
Tokyo Institute of Technology
Rakuten (Japan)
Universitat Politècnica de Catalunya
Indian Institute of Technology Hyderabad
University of Crete
Yunnan University
Nara Institute of Science and Technology
Commonwealth Scientific and Industrial Research Organisation
Boğaziçi University
City University of Hong Kong
Autonomous University of Barcelona
