IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIBCI 2014: 2014 IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, Proceedings

Country

United States

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

Subject Area and Category

Computer Science

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

Brain Computer Interfaces (BCIs) have the potential to impact on a range of applications, including assessment and treatment of cognitive impairments and as alternative assistive technologies for the physically impaired. Computational Intelligence (CI) has for many years drawn inspiration from the brain to produce data and signal processing techniques and systems which are capable of learning, evolving, adapting, self-organizing and communicating effectively with humans and machines. CI approaches provide cutting-edge technologies for advanced modeling and signal processing techniques to achieve breakthroughs in BCIs. The CIBCI Symposium focuses on applying advanced computational intelligence tools associated with brain-computer interfaces, and provides a forum for modelers and practitioners to present their newest results and exchange ideas in this rapidly developing field. BCI technology enables communication, which does not rely on neuromuscular control thereby offering assistance to those who require alternative communicatory and control mechanisms because of neuromuscular deficiencies due to disease or spinal/brain damage. BCI have advanced significantly in the past few years but there remain a significant number of problems and issues to be resolved due to the high level of noise, and the non-stationary nature of the neural signals used in BCI. In addition to many signal processing related topics and application development associated with field of BCIs we also encourage submissions in the following additional areas of interest: -Computational models of brain circuitry in normal and pathological conditions -Cognitive robotics

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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
2016	0.115
2017	0.147
2018	0.131

Total Documents

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

Year	Documents
2016	0
2017	0
2018	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)	2016	0.300
Cites / Doc. (4 years)	2017	0.900
Cites / Doc. (4 years)	2018	0.900
Cites / Doc. (3 years)	2016	0.300
Cites / Doc. (3 years)	2017	0.900
Cites / Doc. (3 years)	2018	0.900
Cites / Doc. (2 years)	2016	0.300
Cites / Doc. (2 years)	2017	0.900
Cites / Doc. (2 years)	2018	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	2016	0
Self Cites	2017	0
Self Cites	2018	0
Total Cites	2016	3
Total Cites	2017	9
Total Cites	2018	9

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	2016	0.300
External Cites per document	2017	0.900
External Cites per document	2018	0.900
Cites per document	2016	0.300
Cites per document	2017	0.900
Cites per document	2018	0.900

% 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
2016	0
2017	0
2018	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	2016	1
Non-citable documents	2017	1
Non-citable documents	2018	1
Citable documents	2016	9
Citable documents	2017	9
Citable documents	2018	9

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	2016	8
Uncited documents	2017	4
Uncited documents	2018	5
Cited documents	2016	2
Cited documents	2017	6
Cited documents	2018	5

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