Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016

Country

United States

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

Subject Area and Category

Computer Science

Mathematics
- Computational Mathematics
- Numerical Analysis

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

This volume contains papers selected from those presented at the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2016) held in Timişoara, Romania, from 24 to 27 September 2016. SYNASC is a series of annual events that aim to stimulate the interaction between the two scientific communities of symbolic and numeric computing and to present interesting applications of the algorithms developed in the areas both in theory and in practice. The choice of the symposium topic was motivated by the belief of the organizers that the dialogue between the two communities is very necessary for accelerating the progress in making the computer a truly intelligent aid for mathematicians and engineers. Started in 1999 as a workshop, SYNASC has established itself as an international forum for researchers and practitioners interested in symbolic and numeric computing. It has been organized by the Department of Computer Science at West University of Timişoara in cooperation with the Research Institute for Symbolic Computation at Johannes Kepler University of Linz, Austria, and with the Research Institute e-Austria from Timişoara. Having its unique venue in Timişoara, a historical and multicultural city, SYNASC has become a fixed meeting point where researchers from Romania and the rest of the world get together to present, to discuss, and to exchange their research results, new findings, and work in progress. It has helped promote scientific research and development in Romania and enhance the contacts between foreign and Romanian researchers, in addition to its significant contributions to international scientific exchange in computer science.

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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
2018	0.147
2019	0.195
2020	0.239

Total Documents

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

Year	Documents
2018	0
2019	0
2020	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)	2018	0.954
Cites / Doc. (4 years)	2019	0.815
Cites / Doc. (4 years)	2020	0.708
Cites / Doc. (3 years)	2018	0.954
Cites / Doc. (3 years)	2019	0.815
Cites / Doc. (3 years)	2020	0.708
Cites / Doc. (2 years)	2018	0.954
Cites / Doc. (2 years)	2019	0.815
Cites / Doc. (2 years)	2020	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	2018	0
Self Cites	2019	0
Self Cites	2020	0
Total Cites	2018	62
Total Cites	2019	53
Total Cites	2020	46

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	2018	0.954
External Cites per document	2019	0.815
External Cites per document	2020	0.708
Cites per document	2018	0.954
Cites per document	2019	0.815
Cites per document	2020	0.708

% 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
2018	0
2019	0
2020	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	2018	3
Non-citable documents	2019	3
Non-citable documents	2020	3
Citable documents	2018	62
Citable documents	2019	62
Citable documents	2020	62

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	2018	35
Uncited documents	2019	39
Uncited documents	2020	45
Cited documents	2018	30
Cited documents	2019	26
Cited documents	2020	20

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