2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Proceedings

Country

United States

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

Subject Area and Category

Agricultural and Biological Sciences
- Soil Science

Decision Sciences
- Statistics, Probability and Uncertainty

Earth and Planetary Sciences
- Geophysics
- Geotechnical Engineering and Engineering Geology

Energy
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment

Mathematics
- Statistics and Probability

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

On behalf of the Organizing Committee, it is our great pleasure to welcome you to attend the 14th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2016), which is jointly organized by Tsinghua University and Chongqing University in China. The PMAPS 2016 will be held in Beijing, October 16-20, 2016. The theme of the PMAPS 2016 is “Shaping the Future of Probabilistic Applications”. The conference received over 200 papers from 35 countries. The experts in the PMAPS fields across the world will attend the conference. The plenary session, invited paper sessions, panel sessions and 42 regular paper sessions will provide a platform for the attendees to demonstrate their achievements and exchange their ideas. We will also organize a whole day’s tutorial on October 16, 2016, which will benefit those who want to acquire basic and advanced knowledge in power system reliability. We are pleased to see that a considerable number of students from different countries have expressed their great interests in the PMAPS fields. Half of the papers are submitted by students. To acknowledge and encourage the excellence of students in the areas of probabilistic methods applied to power systems, the “Best Student Paper Awards” are established at the 2016 PMAPS conference. Young researchers and engineers are the future of PMAPS.

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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	0.118
2018	0.252
2019	0.325

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	0.326
Cites / Doc. (4 years)	2018	0.933
Cites / Doc. (4 years)	2019	0.882
Cites / Doc. (3 years)	2017	0.326
Cites / Doc. (3 years)	2018	0.933
Cites / Doc. (3 years)	2019	0.882
Cites / Doc. (2 years)	2017	0.326
Cites / Doc. (2 years)	2018	0.933
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	58
Total Cites	2018	166
Total Cites	2019	157

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	0.326
External Cites per document	2018	0.933
External Cites per document	2019	0.882
Cites per document	2017	0.326
Cites per document	2018	0.933
Cites per document	2019	0.882

% 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	177
Citable documents	2018	177
Citable documents	2019	177