2016 3rd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2016

Country

United States

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

Subject Area and Category

Computer Science

Social Sciences
- Education

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

You are invited to participate in The Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR2016) that will be held at Lodz University of Technology, Lodz, Poland on September 19-21, 2016. The event will be held over three days, with presentations delivered by researchers from the international community, including presentations from keynote speakers and state-of-the-art lectures. The conference welcomes papers on the following (but not limited to) research topics -Agent-based Systems -AI and Evolutionary -Algorithms -Ant Colony Optimization -Approximate Reasoning -Artificial Immune Systems -Artificial Intelligence in Modeling and Simulation -Artificial Intelligence in Scheduling and Optimization -Artificial Life -Automated Problem Solving -Bioinformatics and Computational Biology -Biometric Authentication -Brain-machine Interfaces -Camera Networks and Vision -Case Studies -Cognitive Systems and Applications -Collective Intelligence -Computer Vision Data Mining -Decision Support Systems -Differential Evolution -Distributed AI Systems and Architectures -Emerging Technologies -Evolutionary Data Mining -Evolutionary Design -Evolutionary Scheduling Expert Systems -Fuzzy Computing with Words -Fuzzy Control and Intelligent Systems -Fuzzy Decision Making and Decision Support Systems -Fuzzy Logic and Fuzzy Set Theory -Fuzzy Optimization and design -Fuzzy Pattern Recognition -Fuzzy Systems for Robotics -Game Theory -Hardware Implementations -Heuristic Searching Methods -Integration of AI With Other Technologies -Intelligent Agents -Intelligent Data Mining and Farming -Intelligent Databases -Intelligent Information Systems -Intelligent Networks -Intelligent Tutoring Systems -Intelligent User Interface -Intelligent Web-based Business -Knowledge Engineering -Knowledge Networks and Management -Knowledge-based Recognition [...]

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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	0.119
2018	0.159
2019	0.164

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	0.613
Cites / Doc. (4 years)	2018	0.935
Cites / Doc. (4 years)	2019	1.194
Cites / Doc. (3 years)	2017	0.613
Cites / Doc. (3 years)	2018	0.935
Cites / Doc. (3 years)	2019	1.194
Cites / Doc. (2 years)	2017	0.613
Cites / Doc. (2 years)	2018	0.935
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	19
Total Cites	2018	29
Total Cites	2019	37

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	0.613
External Cites per document	2018	0.935
External Cites per document	2019	1.194
Cites per document	2017	0.613
Cites per document	2018	0.935
Cites per document	2019	1.194

% 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	30
Citable documents	2018	30
Citable documents	2019	30

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	20
Uncited documents	2018	17
Uncited documents	2019	18
Cited documents	2017	11
Cited documents	2018	14
Cited documents	2019	13

% 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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