2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Computer Science

Engineering
- Control and Systems Engineering

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

WACV 2016, the IEEE’s and the PAMI-TC’s premier meeting on applications of computer vision. WACV is an IEEE conference covering all areas of computer vision. It will be held March 7-9, 2016 at the Crowne Plaza resort in Lake Placid, NY, USA. There will be workshops on the day following the conference (March 10), and tutorials in the mornings of conference days before the main sessions. As with previous WACV’s, the main conference sessions will start in the mid-afternoon and run through the evening, to allow time during the day to enjoy the many local attractions. Recent efforts in computer vision have demonstrated impressive successes on a variety of real-world challenges. WACV conferences provide a forum for computer vision researchers working on practical applications to share their latest developments. WACV 2016 solicits high-quality, original submissions describing research on computer vision applications. Unlike other vision conferences, WACV emphasizes papers on systems and applications with significant, interesting vision components or elements. Authors are encouraged to submit applications papers, as well as more traditional algorithms papers. Topics of interest include, but are not limited to: Early and Biologically-Inspired Vision Segmentation and Grouping Object Recognition Scene Understanding Statistical Methods and Learning Performance Evaluation 3-D modeling Motion/Stereo Processing and Augmented Reality Bio-imaging/Imaging Bioinformatics Big Data and Vision Applications Analysis of Scientific Data Biometrics Document Analysis Image/Video Indexing and Retrieval Remote Sensing Real-time Tracking Face Detection and Recognition Gesture/Hand Recognition Human Motion Analysis/Capture Action Recognition Human-Computer Interaction Security/Surveillance Vision for Robotics Industrial Inspection Computational Photography Vision for Graphics Vision Systems and Applications Evaluation and Comparison of Vision Algorithms

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2017	0.385
2018	0.782
2019	1.536

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2017	0
2018	0
2019	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2017	3.412
Cites / Doc. (4 years)	2018	4.428
Cites / Doc. (4 years)	2019	5.016
Cites / Doc. (3 years)	2017	3.412
Cites / Doc. (3 years)	2018	4.428
Cites / Doc. (3 years)	2019	5.016
Cites / Doc. (2 years)	2017	3.412
Cites / Doc. (2 years)	2018	4.428
Cites / Doc. (2 years)	2019	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2017	0
Self Cites	2018	0
Self Cites	2019	0
Total Cites	2017	638
Total Cites	2018	828
Total Cites	2019	938

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2017	3.412
External Cites per document	2018	4.428
External Cites per document	2019	5.016
Cites per document	2017	3.412
Cites per document	2018	4.428
Cites per document	2019	5.016

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2017	0
2018	0
2019	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2017	1
Non-citable documents	2018	1
Non-citable documents	2019	1
Citable documents	2017	186
Citable documents	2018	186
Citable documents	2019	186

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2017	52
Uncited documents	2018	47
Uncited documents	2019	57
Cited documents	2017	135
Cited documents	2018	140
Cited documents	2019	130

% Female Authors

Evolution of the percentage of female authors.

Year	Female Percent
2017	0.00
2018	0.00
2019	0.00

Documents cited by public policy (Overton)

Evolution of the number of documents cited by public policy documents according to Overton database.

Documents	Year	Value
Overton	2017	0
Overton	2018	0
Overton	2019	0

Documents related to SDGs (UN)

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

Documents	Year	Value
SDG	2018	0
SDG	2019	0

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