Email Not Verified

Action Required

Please go to your profile settings and make sure your email is verified before applying for account verification.

Please refer to the documentation here.

Confirm Account Verification

Final Step

Please make sure you have filled in all the required details.

We need these details to verify your account. Once you click Yes, we will send an account activation request to our team.

Please refer to the documentation here.
Back to Top
Go Back
Journal Photo for Journal of Statistics and Management Systems
Peer reviewed only Open Access

Journal of Statistics and Management Systems (JSMS)

Publisher : Taylor & Francis and TARU Publications
Statistics Management Systems
Claim Your Journal Get PRC Visit Website
e-ISSN 2169-0014
p-ISSN 0972-0510
Issue Frequency 8-issues-year
Impact Factor 1.6
Est. Year 1998
Mobile 1147234452
Language English
APC YES
Impact Factor Assignee Google Scholar
Email bkdass@tarupublications.com

Journal Descriptions

The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication. The journal considers original research articles, survey articles, and book reviews for publication. Responses to articles and correspondence will also be considered at the Editor-in-Chief’s discretion.

Journal of Statistics and Management Systems (JSMS) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Statistics, Management Systems , Online or Print , 8-issues-year Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0972-0510, E-ISSN: 2169-0014, Established: 1998, Impact Factor: 1.6
  • Does Not Provide Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Publications of JSMS

Agriculture drones: A modern breakthrough in precision agriculture
Anand Nayyar July, 2017
Drones commonly referred, as UAVs are mostly associated with military, industry and other specialized operations but with recent developments in area of sensors and Information Technology in...
A hybrid SVM-NARX based prediction method for Indian wind power
Vijay Kumar July, 2026
An Illustration to Secured Way of Data Mining Using Privacy Preserving Data Mining
Richa Purohit January, 2017
null