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Information Systems Frontiers (ISF)

Publisher :

Springer Nature

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Software
  • Information Systems
  • Computer Networks and Communications
  • +1

e-ISSN :

1572-9419

Issue Frequency :

Monthly

Impact Factor :

6.9

p-ISSN :

1387-3326

Est. Year :

1998

Mobile :

31786576000

Country :

Netherlands The

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

oa.verification@springernature.com

Journal Descriptions

The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.


Information Systems Frontiers (ISF) is :

International, Peer-Reviewed, Open Access, Refereed, Software, Information Systems, Computer Networks and Communications, Theoretical Computer Science , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1387-3326, E-ISSN - 1572-9419, Established in - 1998, Impact Factor - 6.9

Not Provide Crossref DOI

Indexed in Scopus

Not indexed in WoS, DOAJ, PubMed, UGC CARE

Publications of ISF

  • dott image December, 2021

Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study

The pandemic COVID 19 has altered individuals’ daily lives across the globe. It has led to preventive measures such as physical distancing to be imposed on individuals and led to terms suc...

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