Call for Papers: Publish Research Paper with DOI (2026)

SCIRJ invites Scientists, Academicians, and Researchers to submit their original research and review articles. We maintain high standards through a rigorous double-blind peer-review process conducted by eminent professionals in their respective fields.

Scientific Research Journal (SCIRJ)

Multidisciplinary Research

Scope: All areas of Science, Art, Management, Technology, and allied fields.

Submit to SCIRJ →

SRJ of AI & Digital Transformation

Specialized Technology Journal

Scope: AI Algorithms, LLMs, Machine Learning, IoT, and Digital Transformation strategies.

Submit to SRJADT →

Submission Window

Edition: Jan 2026

Publication Starts: 15th Jan 2026

Deadline: 31st Jan 2026

APC & Payment Details

Fee: USD 75 (Payable ONLY after acceptance).
Review Fee: $0 (Free initial review).
Waivers: Available for high-quality papers from low-income countries.

Direct Email Submission

Send manuscripts to:
SCIRJ: editor@scirj.org
SRJADT: aidt@scirj.org

Blind Peer Review Requirement:

Kindly attach two copies of your manuscript:
1. Full Version: With author details.
2. Blind Version: No author identification.

SCIRJ is a CrossRef Member and assigns a Digital Object Identifier (DOI: 10.31364/SCIRJ) to every published research paper, ensuring global indexing and permanent citation.

Download Research Paper Template (.docx)

Submission Guidelines

Frequently Asked Questions (FAQ)

Q1: How can I publish my research paper with a DOI?
A: Every article published in SCIRJ and SRJADT is automatically assigned a CrossRef DOI. You simply need to submit your manuscript through our online portal or via email at editor@scirj.org.

Q2: Is SCIRJ an Open Access Science Journal?
A: Yes. SCIRJ is a fully open-access platform. Once published, your research is freely available to the global academic community without subscription barriers.

Q3: Does SCIRJ have a dedicated AI Research Journal?
A: Yes. We have launched the SRJ of AI & Digital Transformation, specifically for papers focusing on Machine Learning, LLMs, and Digital Transformation strategies.