Journal of Intelligent Manufacturing - h5 Index Rating
The h5-index is a product of Google Scholar and shows a journal’s h-Index based on the journal’s articles published in the last 5 calendar years (with an overall minimum of 100 articles published during these years). The variable h is defined as the largest number of articles that have each been cited h times. The h5-Index therefore cannot be dominated by one or a few highly cited articles.
In 2020, Journal of Intelligent Manufacturing received the following ratings:
h5-Index | h5-Median |
59 | 86 |
Journal of Intelligent Manufacturing highlights some of these top cited articles:
Literature review of Industry 4.0 and related technologies
E Oztemel, S Gursev
Journal of Intelligent Manufacturing 31.1 (July 2018)
Advanced manufacturing systems: socialization characteristics and trends
F Tao, Y Cheng, L Zhang, AYC Nee
Journal of Intelligent Manufacturing 28.5 (February 2015)
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem
M Nouiri, A Bekrar, A Jemai, S Niar, AC Ammari
Journal of Intelligent Manufacturing 29.3 (February 2015)
Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction
A Mosallam, K Medjaher, N Zerhouni
Journal of Intelligent Manufacturing 27.5 (June 2014)
A review of diagnostic and prognostic capabilities and best practices for manufacturing
GW Vogl, BA Weiss, M Helu
Journal of Intelligent Manufacturing 30.1 (June 2016)