International Food Operations and Processing Simulation Workshop, FoodOPS 2015

Country

United States

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

Subject Area and Category

Agricultural and Biological Sciences
- Food Science

Biochemistry, Genetics and Molecular Biology
- Biotechnology

Engineering
- Biomedical Engineering

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

Food engineering has expanded enormously in terms of issues addressed, theories and tools deployed to improve food processing and food traceability. Indeed, there is a growing effort toward the application of artificial intelligence techniques as well as mathematical modeling and software development for food processing and traceability purposes. This widening domain along with the dynamism in the Modeling and Simulation technologies and approaches throw up many challenges for researchers and practitioners seeking to come to terms with the scope and diversity of the field. As a matter of facts the food sector has its own particular nature that makes it quite different from other industrial sectors. Among others the need to ensure quality standards against time and environmental conditions, to guarantee the traceability along the whole supply chain, to meet customers’ needs with costs and energy savings are merely a few of all the hallmarks of food engineering. Therefore the International Food Operations & Processing Simulation Workshop has the potential to make an important contribution to the literature both in appraising the current state of research and in providing advanced approaches for the future development of the field. The aim of the Workshop is to collect papers that go beyond the current state of the field, and have also the potential to stimulate and guide future research efforts delineating critical paths for future research. Such papers would address key aspects such as modeling and simulation of food processes, comparison and optimization of emerging food technologies, risk assessment, food safety and shelf-life prediction; analysis and modeling of food packaging; food processing sustainability, traceability, production planning and scheduling; supply chain and cold chain design and management; inventory management and storage area design...

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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	0.101
2017	0.101
2018	0.122

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	0.111
Cites / Doc. (4 years)	2017	0.056
Cites / Doc. (4 years)	2018	0.056
Cites / Doc. (3 years)	2016	0.111
Cites / Doc. (3 years)	2017	0.056
Cites / Doc. (3 years)	2018	0.056
Cites / Doc. (2 years)	2016	0.111
Cites / Doc. (2 years)	2017	0.056
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	2
Total Cites	2017	1
Total Cites	2018	1

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	0.111
External Cites per document	2017	0.056
External Cites per document	2018	0.056
Cites per document	2016	0.111
Cites per document	2017	0.056
Cites per document	2018	0.056

% 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.