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Journal Photo for International Research journal of Management Science and Technology
Peer reviewed only Open Access

International Research journal of Management Science and Technology (IRJMST)

Publisher : IRJMST
Management
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e-ISSN 2250-1959
p-ISSN 2348-9367
Issue Frequency 3-issues-year
Impact Factor 8.1026
Est. Year 2009
Mobile 9582846611
DOI YES
Country Afghanistan
Language English
APC YES
Email Research@isarasolutions.com

Journal Descriptions

International Research journal of Management Science and Technology was started in June 2010. The prime aim of this Research Journal is to share and link the Science , Technology , Management students and faculties, their views all over the world. IRJMST is a "peer-review" and "refereed" and "widely accepted" International journal. It is the committee through which experts in the field of study assess the quality of articles/journals that are submitted to it for publication. It is an open access journal that publishes high-quality research articles, all areas of Management Science and technology. The Journal welcomes the submission of manuscripts that meet the criteria of significance, academic excellence and great ideologies. Papers will be published approximately one week after acceptance.

International Research journal of Management Science and Technology (IRJMST) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Management , Online or Print , 3-issues-year Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2348-9367, E-ISSN: 2250-1959, Established: 2009, Impact Factor: 8.1026
  • Provides Crossref DOI

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

Indexing

Publications of IRJMST

ON A RECURRENT FINSLER SPACE
DR. ANKIT MAURYA March, 2019
The present paper is in two sections, the first section deals with special projective recurrent tensor fields while the second section deals with special recurrent Normal projective curvatur...
USER EXPERIENCE OF FEMININE PRODUCTS USAGE
Drishti Kohli May, 2023
Feminine products empower women but remain among the most challenging development issues today. Not only do deep-rooted taboos, myths, and misinformation create the illusion that feminine pr...
Active Learning for Semi-Supervised Clustering Framework for High Dimensional Data
Pavithra M August, 2019
In certain clustering tasks it is possible to obtain limited supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clusters. The...