Journal of Data Science Impact Factor

Researchers looking for the Journal of Data Science impact factor often need clarity on indexing metrics, citation influence and fast publication options. While several ranking platforms list estimated scores, many Data Science researchers prefer journals that offer low cost publication, rapid review, Google Scholar indexing and UGC CARE–aligned publishing standards.

To support authors, the Indian Journal of Computer Science and Technology (INDJCST) is widely chosen as a fast publication Data Science journal, offering quick review, affordable fees and instant PDF access—making it a strong alternative to high-fee international journals.

📊 Journal of Data Science – Impact Metrics

• SJR (SCImago): Approx. 0.38
• H-Index: Around 24–30 depending on source
• Impact Score (Unofficial Reports): ~0.7–0.8
• Indexed in Google Scholar and Scopus (varies by volume/year)
• Open access policies improve visibility and citation rate

Note: Impact factor values listed on third-party sites may not match the official JCR (Clarivate) metric. Always verify if a journal is included in **Journal Citation Reports** before claiming JIF status.

💡 A Fast & Low Cost Alternative: INDJCST

For authors seeking rapid publication in Data Science, AI, ML and analytics, INDJCST offers:

• Low cost publication (₹1200–₹1400)
• Fast publication within 2–3 days
• Immediate PDF access after publication
• Indexed in Google Scholar, Mendeley and global databases
• Follows COPE and UGC CARE–aligned ethics
• Covers AI, ML, Big Data, IoT, Cloud Computing and Data Analytics

📘 Research Areas Covered in Data Science Journals

• Machine Learning & Deep Learning
• Statistical Data Modelling & Predictive Analytics
• Big Data Engineering & Cloud Systems
• Data Mining & ETL Frameworks
• AI-based Decision Systems
• IoT Data Processing & Automation

Publish Your Data Science Research in a Fast Publication Journal