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Journal of Defense Analytics and Logistics - Emerald Publishing | 2024 Cite Score: 1.0 | Q4

journal-of-defense-analytics-and-logistics.jpg

Journal of Defense Analytics and Logistics - Emerald Publishing | 2024 Cite Score: 1.0 | Q4

  • About this Journal:
  • International, peer-reviewed journal focusing on analytics, operations, supply chain management and logistics in the context of defence and military operations.The Journal of Defense Analytics and Logistics (JDAL) considers a broad range of topics across the logistics, operations research, and supply chain management space. However, each research article considered at the journal must contribute directly to the art and science of national and/or international defense. Manuscripts that develop innovative new ways of thinking about defense are especially encouraged. Successful manuscripts are theoretically sound, methodologically rigorous and practically relevant. The journal is international in scope, and submissions from all countries are welcomed. JDAL publishes two issues per annum.
  • Publishes original research, empirical studies, theoretical work and practical applications that contribute directly to national and/or international defence logistics, acquisitions and operations.
  • Operates under a Diamond Open Access model — authors are not required to pay APCs.
  • Indexed in DOAJ and Scopus; scheduled review-to-publication time around 12 weeks on average.

  • Editor-in-Chief:  Frank W. Ciarallo Ph.D.

  • Scope of the Journal:
  • Defence logistics and supply chain management for military and defence contexts.
  • Operations research, analytics, modelling and simulation applied to defence acquisitions, sustainment and operations.
  • Strategic, operational and tactical logistics in defence and national security settings.
  • Procurement, maintenance, reverse logistics, sustainability and life-cycle support for defence systems.
  • Emerging technologies, digitalisation and data-driven decision-making in defence supply chains and logistics operations.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  23996439

    Electronic ISSN:  23996447

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Decision Sciences (miscellaneous), Information Systems and Management, Management Science and Operations, Research Statistics, Probability and Uncertainty

  • Publication Frequency:  

  • H Index:  6

  • Best Quartile:

    Q1:  

    Q2:  

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    Q4:  Decision Sciences (miscellaneous)

  • Cite Score:  1.0

  • SNIP:  0.675

  • Journal Rank(SJR):  0.182