Location: Montreal , Canada
Submission deadline: 3/10/2021
Conference dates: 10/11/2021 - 10/11/2021
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 4 | 896 | 1090 | 157 |
The scientific conference ranking presented on this page highlights the most prestigious conferences in the field of Engineering and Technology. This comprehensive ranking has been meticulously prepared by Research.com, a renowned platform recognized for delivering authoritative data on scientific contributions across all major disciplines since 2014, including Engineering and Technology. Research.com is widely trusted by the global academic and scientific community for its commitment to accuracy and integrity.
The positions of the conferences in this ranking are determined by a unique bibliometric score developed exclusively by Research.com. This score is computed using an advanced methodology that considers the estimated h-index and the number of leading scientists who have contributed to each conference over the preceding three years. This multifaceted approach ensures that the ranking reflects both the impact and the quality of scientific discourse facilitated by each event.
The Impact Score values included in this ranking were collected as of 2024-11-27, representing the most current assessment available. The ranking process involved an exhaustive evaluation of more than 2,262 conferences, each of which was selected after an in-depth examination and rigorous review of over 26,934 scientific documents published within the last three years. Contributions from 9,385 highly respected and accomplished scientists in the Engineering and Technology sector were analyzed to ensure comprehensive coverage and reliability of the data.
This rigorous and data-driven approach underscores the depth of expertise and the complexity of the analytical process undertaken by our team of experts. For further information regarding the methodology and detailed criteria used for ranking, 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 European Conference on Computer Vision (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 European Conference on Computer Vision (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, 3.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.60% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.20% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.88% of all publications and 41.32% 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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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
University of Wurzburg
University of California, Merced
Chinese University of Hong Kong
Tencent (China)
Nanyang Technological University
Nanyang Technological University
University of California, San Diego
University of Rochester
Huawei Technologies (China)
University of Maryland, College Park
Tsinghua University
