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Journal Photo for JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT
Peer reviewed only Open Access

JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT (JNRID)

Publisher : IJ Publication
Multidisciplinary
Submit Paper View PRC Visit Website
e-ISSN 2984-8687
Issue Frequency Monthly
Impact Factor 260.2
Est. Year 2023
Mobile 8469751609
DOI YES
Country India
Language Multilanguage
APC YES
Impact Factor Assignee Google Scholar
Email editor@jnrid.org

Journal Descriptions

UGC CARE recently discontinued the UGC-CARE Journal Listing & Introduction of Suggestive Parameters for choosing peer-reviewed journals that UGC-CARE (India) recommends publishing papers in Transparent Peer Reviewed journals (or Refereed Journals) JNRID is a Transparent Peer-Reviewed Open Access Journal (Refereed Journal), aligning with New UGC and UGC CARE recommendations. As an international, open-access, and online journal, JNRID ensures that published research reaches a broad and diverse audience worldwide. For more details, refer to the official notice: UGC Public Notice. Link: https://www.ugc.gov.in/pdfnews/9678711_PUBLIC-NOTICE-CARE.pdf

JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT (JNRID) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Multidisciplinary , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2984-8687, Established: 2023, Impact Factor: 260.2
  • Provides Crossref DOI

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

Indexing

Role In Research Journal

Raghavendra Sheddi Profile Photo
Raghavendra Sheddi
Reviewer
Muhammad Khalil Profile Photo
Muhammad Khalil
Reviewer

Publications of JNRID

Vicious Economic Spiral (VES Theory): A Realistic Diagnosis of Economic Evils in a Developing Bharat
Satyam Shukla August, 2025
This article takes a fresh look at the Vicious Economic Spiral (VES) Theory—a way to understand the real roots behind the growing economic and social problems we're seeing in a develop...

Explore Transparent Peer Reviews of JNRID

Enhancing Data Reporting Efficiency Using Machine Learning Techniques in Real-Time Analytics
The modern data-driven economy relies heavily on real-time analytics and seamless data reporting processes, which have become pivotal across sectors including finance, healthcare, e-commerce...