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Journal Photo for Franklin Open
Peer reviewed only Open Access

Franklin Open (FO)

Publisher : Elsevier
Engineering Applied Mathematics Artificial Intelligence
e-ISSN 2773-1863
p-ISSN 2773-1871
Issue Frequency Quarterly
Est. Year 2022
Mobile 12126333730
DOI YES
Language English
APC YES
Email journalhelp@elsevier.com

Journal Descriptions

Franklin Open is an international, peer-reviewed, fully open-access journal established in 2022 by Elsevier and sponsored by The Franklin Institute. The journal serves as a companion publication to the renowned Journal of the Franklin Institute and provides a rapid-publication platform for high-quality research in engineering and applied mathematics. Its mission is to support the dissemination of scientifically rigorous research while ensuring broad accessibility through an open-access publishing model. The journal publishes original research articles, review papers, surveys, educational articles, and multidisciplinary studies. Major research areas include control systems, robotics, dynamic systems, artificial intelligence, neural networks, machine learning, signal processing, communication systems, energy and power engineering, applied mathematics, and complex networks. The journal particularly encourages innovative and application-oriented research that addresses emerging technological challenges and advances engineering science. As an open-access journal, all articles are freely available through ScienceDirect immediately upon publication. The journal is indexed in major databases including Scopus, DOAJ, and Ei Compendex, increasing the visibility and impact of published research. It employs anonymous peer review and emphasizes rapid editorial decisions and publication timelines.

Franklin Open (FO) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Engineering, Applied Mathematics, Artificial Intelligence, Neural Networks and Learning Systems, Control Engineering and Robotics, Complex Networks and Dynamic Systems, Energy and Power Systems, Information and Communications, Signal and Image Processing, Epidemiological and Evolutionary Systems, Data Science and Machine Learning, control systems, robotics, dynamic systems, artificial intelligence, neural networks, machine learning, signal processing, communication systems, energy and power engineering, applied mathematics, complex networks , Online or Print , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2773-1871, E-ISSN: 2773-1863, Established: 2022,
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE