Annual Reviews in Control

Annual Reviews in Control

ISSNs: 1367-5788, 0066-4138

Elsevier Limited

Scopus rating (2022): CiteScore 19.2 SJR 3.343 SNIP 4.271

Journal

Journal Metrics

Research Output

  1. 2019
  2. Information-theoretic approaches to privacy in estimation and control

    Nekouei, E., Tanaka, T., Skoglund, M. & Johansson, K. H., 2019, In: Annual Reviews in Control. 47, p. 412-422

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 31
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  3. 2014
  4. Optimal operational control for complex industrial processes

    Chai, T., Qin, S. J. & Wang, H., 2014, In: Annual Reviews in Control. 38, 1, p. 81-92

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 110
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  5. 2012
  6. Survey on data-driven industrial process monitoring and diagnosis

    Qin, S. J., Dec 2012, In: Annual Reviews in Control. 36, 2, p. 220-234

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1224
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