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Journal Photo for Progress in Fractional Differentiation and Applications
Peer reviewed only Open Access

Progress in Fractional Differentiation and Applications (PFDA)

Publisher : Natural Sciences Publishing
numerical analysis mathematical analysis signal analysis
e-ISSN 2356-9344
p-ISSN 2356-9336
Issue Frequency Quarterly
Est. Year 2015
Mobile 00905053673964
DOI YES
Language English
APC YES
Impact Factor Assignee GOOGLE SCHOLAR
Email dumitru.baleanu@gmail.com

Journal Descriptions

Progress in Fractional Differentiation and Applications (PFDA) is an international peer-reviewed, and interdisciplinary journal publishing original and high quality manuscripts in the emerging field of fractional differentiation, its generalization and their huge potential applications in the fields of science and engineering. PFDA Home ISSN 2356-9336 (print) ISSN 2356-9344 (online) http://dx.doi.org/10.18576/pfda Frequency: 4 issues annually CiteScore Scopus Editor-in-Chief: Dumitru Baleanu, E-mail: pfda@naturalspublishing.com Progress in Fractional Differentiation and Applications (PFDA) is an international peer-reviewed, and interdisciplinary journal publishing original and high quality manuscripts in the emerging field of fractional differentiation, its generalization and their huge potential applications in the fields of science and engineering. The scope of the PFDA covers all theoretical and experimental aspects of the fractional differentiation and related approaches. Reviews, letters and original research articles dealing with topics as fractional and integral equations, fractional discrete calculus and fractional dynamics are welcome. The original submissions concerning both theoretical and the applications of fractional differentiation in numerical analysis, mathematical analysis, signal analysis, bifurcations, statistics, data analysis, time series analysis,chaos, bioengineering, economics, finance, fractal theory, optics, control systems, artificial intelligence, fractional differential equations with uncertainty, mathematical biology and nanotechnology are encouraged.

Progress in Fractional Differentiation and Applications (PFDA) is :-

  • International, Peer-Reviewed, Open Access, Refereed, numerical analysis, mathematical analysis, signal analysis, bifurcations, statistics, data analysis, time series analysis, chaos, bioengineering, economics, finance, fractal theory, optics, control systems, artificial intelligence , Online or Print , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2356-9336, E-ISSN: 2356-9344, Established: 2015,
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

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