Annual Reviews in Control

Formerly Annual Review in Automatic Programming

Annual Reviews in Control - ISSN 1367-5788
Source Normalized Impact per Paper (SNIP): 2.389 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 1.284 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 2.627 (2016) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 4.57 (2016) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 45-46
Issues: 2 issues
ISSN: 13675788

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Description

A Journal of

The field of Control is changing very fast now, with new themes, buzzwords and technology-driven "grand challenges". Indeed, increasingly both economic developments and societal needs depend upon collections of diverse systems working together to provide needed services, comfort, health, safety and security. Consequently, there is an increasing demand for methodological and technical approaches which allow multiple, independent, heterogeneous systems to operate cooperatively to provide broader capabilities than are available from individual systems. Such considerations apply in a large number of different domains including, transportation, health care, energy and water management, smart cities, defense, social services, manufacturing supply chains and more. The design of such systems requires understanding the joint dynamics of computers, software, networks, physical, chemical and biological processes and human in the loop.

The aim of Annual Reviews in Control is to provide comprehensive and visionary views of the field, by publishing the following types of review articles:

  • Survey Article:- Review papers on main methodologies or technical advances,
  • Vision Article: Cutting-edge and emerging topics with visionary perspective on the future of the field or how it will bridge multiple disciplines, and
  • Tutorial research Article: Fundamental guides for future studies.
For more details on the International Federation of Automatic Control (IFAC), visit their homepage at http://www.ifac-control.org.

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