📊 Data Science Journals in India – IJSREAT

The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is an international, peer-reviewed, open-access journal supporting research in Data Science, Artificial Intelligence, Machine Learning, and Computer Science. For researchers searching for data science journals in India, IJSREAT provides an accessible platform for submitting original research, review articles, and interdisciplinary studies.

IJSREAT encourages data-driven research across emerging technologies and practical applications. The journal is published on a bi-monthly basis and provides an online editorial system for research paper submission and manuscript management. Authors should independently verify current indexing, database coverage, and institutional requirements before submission.

🧠 About IJSREAT – Data Science Journal in India

IJSREAT connects research in data science, computer science, engineering, and technology through a structured editorial and peer-review process. Its open-access publishing model allows published research to be accessible to readers, researchers, students, and professionals.

Researchers looking for a data science journal in India can consider IJSREAT for studies involving computational methods, intelligent systems, statistical analysis, predictive models, and data-driven applications.

📚 Data Science Journal Scope & Research Areas

IJSREAT welcomes original and technically sound research across a broad range of Data Science and Computer Science topics, including:

📊 Data Science and Predictive Analytics
🤖 Artificial Intelligence and Machine Learning
🧠 Deep Learning and Intelligent Computing
☁️ Big Data and Cloud Computing
💬 Natural Language Processing (NLP)
👁️ Computer Vision and Image Processing
📈 Business Intelligence and Data Visualization
📐 Statistical Modeling and Computational Analysis
🔎 Data Mining and Pattern Recognition
🌐 Internet of Things (IoT) and Automation
🔐 Cybersecurity and Data Analytics
🧬 Bioinformatics and Computational Data Science

This broad scope makes IJSREAT relevant for researchers working on data science research papers, machine learning models, predictive analytics, big data applications, AI systems, and computational methods.

🚀 Why Choose IJSREAT for Data Science Research?

⚡ Structured Peer Review: Manuscripts undergo an editorial and peer-review process, with timelines varying according to the manuscript and review requirements.
💰 Affordable Publication: IJSREAT offers a comparatively accessible APC structure for Indian and international authors.
🌍 Open-Access Visibility: Published research is made available online for wider academic readership.
📚 Scholarly Discoverability: Research may be discoverable through relevant academic and research platforms; authors should verify current database coverage independently.
🎓 Interdisciplinary Research: The journal supports research connecting data science with AI, engineering, technology, and applied computing.
🖥️ Online Submission: Authors can submit and manage manuscripts through the online editorial platform.

🌐 Indexing & Academic Discoverability

IJSREAT research may be available or discoverable through various scholarly and academic platforms. Because database coverage can change over time, authors should independently verify the current indexing or abstracting status of the journal before using it for institutional or academic requirements.

Google Scholar
Semantic Scholar
Dimensions
Elsevier Mendeley
EuroPub
DRJI
I2OR
PDFSR
ResearchBIB
Academic Keys
SSRN
WorldCat
Edocr
Ex Libris
PlumX Metrics
Other scholarly discovery services

⚙️ Data Science Research Paper Publication Process

Authors interested in publishing through data science journals in India can follow a structured submission workflow:

📤 Submit Manuscript: Upload your research paper through the IJSREAT online submission portal.
📝 Editorial Screening: The submitted manuscript is checked for basic editorial and publication requirements.
🔍 Peer Review: The manuscript proceeds through the applicable peer-review process.
🔄 Revision: Authors may be requested to revise the manuscript based on editorial or reviewer feedback.
✅ Editorial Decision: The manuscript receives an acceptance, revision, or rejection decision based on the editorial process.
📄 Publication: Accepted manuscripts proceed toward publication according to the journal's publication procedures.

💰 Affordable Article Processing Charges (APC)

IJSREAT maintains an affordable publication fee structure designed to support researchers, students, academicians, and professionals publishing research in Data Science and related fields.

🇮🇳 Indian Authors: ₹1,200 + 18% GST without DOI / ₹1,400 + 18% GST with DOI.
🌎 International Authors: $80 USD with DOI.

DOI availability depends on the applicable publication option. Authors should review the latest journal instructions and applicable charges before completing publication formalities.

🧭 Online Editorial & Author Management

👤 Author Dashboard: Submit manuscripts and manage relevant submission information online.
📊 Submission Tracking: Follow available updates associated with the editorial workflow.
📧 Editorial Communication: Communicate with the journal regarding submission-related queries.
📄 Publication Documentation: Access applicable publication documents and certificates through the journal's procedures.

📩 Contact IJSREAT Editorial Office

For manuscript submission questions, editorial assistance, or information about data science journal publication in India, contact the editorial office at editorinchief@ijsreat.com .

🚀 Publish Your Data Science Research Paper with IJSREAT

If you are searching for data science journals in India, IJSREAT provides a peer-reviewed, open-access platform for research in Data Science, Artificial Intelligence, Machine Learning, Big Data, Predictive Analytics, and Computer Science. Prepare your manuscript according to the journal requirements and submit it through the online editorial system.

📊 Submit Your Data Science Paper

Data Science Journals in India IJSREAT 2027 Publication