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Google Scholar Indexed Data Science Journals | IJSREAT Research

CategoryBlog Published04 Nov 2026 Reading time7 min
Google Scholar Indexed Data Science Journals | IJSREAT Research
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  1. Google Scholar Indexed Data Science Journals โ€“ IJSREAT
  2. ๐Ÿ“Š Google Scholar Indexed Data Science Journals for Research
  3. ๐Ÿง  Data Science and Analytics Research Scope
  4. ๐Ÿ’ป Computer Science and Data Science Research
  5. โšก Fast Publication and Rapid Publication for Data Science
  6. ๐Ÿ’ฐ Low Cost Data Science Journal Publication
  7. ๐ŸŽ“ UGC CARE and Data Science Journal Selection
  8. ๐Ÿ“ˆ Data Science Topics Accepted by IJSREAT
  9. ๐ŸŒ Google Scholar and Open Access Research Dissemination
  10. ๐Ÿ›ก๏ธ Peer Review, Plagiarism Protection and Publication Ethics
  11. ๐Ÿ“‹ Streamlined Publication Process for Data Science Papers
  12. ๐Ÿ’ป Advanced Editorial Management System
  13. ๐ŸŒ Multidisciplinary Data Science and Technology Research
  14. ๐Ÿš€ Submit Your Data Science Research to IJSREAT

Google Scholar Indexed Data Science Journals โ€“ IJSREAT

International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access, and multidisciplinary online journal dedicated to research across Science, Engineering, and Technology. IJSREAT welcomes innovative research in data science, machine learning, artificial intelligence, computer science, analytics, cybersecurity, cloud computing, IoT, and related emerging technologies.

Researchers looking for Google Scholar indexed data science journals can consider IJSREAT for original research papers, review articles, and technical contributions in data science and analytics. The journal's supplied indexing and abstracting information includes Google Scholar. Authors should independently verify current indexing or abstracting status through relevant official sources before making academic or publication decisions.

๐Ÿ“Š Google Scholar Indexed Data Science Journals for Research

๐Ÿ”ต Google Scholar Visibility: Data science researchers often seek scholarly publication platforms that provide accessible research dissemination. IJSREAT includes Google Scholar among its supplied indexing and abstracting information and follows an open-access publishing model for research communication.

๐ŸŸฃ Data Science Research: IJSREAT welcomes research covering big data analytics, predictive analytics, data mining, data visualization, statistical learning, business analytics, healthcare analytics, intelligent decision systems, and responsible data practices.

๐Ÿง  Data Science and Analytics Research Scope

๐ŸŸข Big Data Analytics: Researchers can submit studies involving large-scale data processing, Hadoop, Spark, distributed analytics, data pipelines, scalable architectures, and data-driven computational methods.

๐Ÿ”ต Predictive Analytics: The journal supports research involving predictive modeling, forecasting, classification, regression, clustering, anomaly detection, risk analysis, and machine learning-based decision support.

๐ŸŸ  Data Visualization: Research involving visual analytics, dashboards, interactive visualization, exploratory data analysis, information presentation, and data storytelling is relevant to the journal's data science scope.

๐ŸŸฃ Artificial Intelligence and Machine Learning: Data science research combining AI and machine learning can address supervised learning, unsupervised learning, reinforcement learning, deep learning, natural language processing, computer vision, and intelligent automation.

๐Ÿ” Data Ethics and Responsible Analytics: IJSREAT also welcomes research addressing ethical data collection, privacy, security, responsible AI, trustworthy analytics, and responsible use of data-driven technologies.

๐Ÿ’ป Computer Science and Data Science Research

๐Ÿ”ต Computer Science: IJSREAT has a broad computer science scope covering software engineering, cybersecurity, computer networks, cloud computing, IoT, computer vision, NLP, blockchain, HCI, robotics, embedded systems, and emerging computing technologies.

๐ŸŸข Interdisciplinary Research: Data science can be applied across healthcare, finance, education, agriculture, energy, manufacturing, smart cities, cybersecurity, environmental monitoring, and engineering. IJSREAT encourages interdisciplinary research connecting data science with practical applications.

For researchers seeking Google Scholar indexed data science journals, the multidisciplinary scope provides opportunities to present data-driven research alongside broader computer science, engineering, and technology contributions.

โšก Fast Publication and Rapid Publication for Data Science

๐Ÿš€ Fast Publication: IJSREAT provides a streamlined editorial workflow intended to support timely manuscript processing. Authors can submit data science research online and follow the manuscript through the editorial management system.

โšก Rapid Publication: The stated workflow includes acknowledgment within 12 hours, expert review within 2 days, and decision notification within 3 days. These are stated workflow targets, and actual processing times may vary depending on manuscript quality, reviewer availability, revisions, and editorial requirements.

Researchers interested in fast publication and rapid publication can use the online submission system to initiate the editorial process for data science, machine learning, artificial intelligence, and computer science manuscripts.

๐Ÿ’ฐ Low Cost Data Science Journal Publication

๐ŸŸข Low Cost Publishing: IJSREAT follows an open-access model in which published research is made freely available online. The journal provides accessible article processing charge options for authors seeking a low cost publication platform for data science and technology research.

  • Indian Authors โ€“ Without DOI: โ‚น1200 + 18% GST
  • Indian Authors โ€“ With DOI: โ‚น1400 + 18% GST
  • Other than Indian Authors โ€“ With DOI: $80 USD

Authors should review the applicable article processing charges, DOI options, and publication requirements before submitting a manuscript. The low cost structure is intended to support accessible scholarly publishing.

๐ŸŽ“ UGC CARE and Data Science Journal Selection

๐ŸŸก UGC CARE Consideration: UGC CARE may be an important consideration for researchers evaluating journals for academic publication. Authors searching for Google Scholar indexed data science journals should independently verify the current UGC CARE status and their institution's publication requirements through authoritative sources before submitting.

Journal selection should also consider scope, peer-review procedures, publication ethics, indexing or abstracting status, article processing charges, DOI availability, author guidelines, and institutional requirements.

๐Ÿ“ˆ Data Science Topics Accepted by IJSREAT

  • ๐Ÿ“Š Big data analytics and distributed data processing
  • ๐Ÿ”Ž Data mining and knowledge discovery
  • ๐Ÿ“ˆ Predictive analytics and forecasting
  • ๐Ÿง  Machine learning and deep learning
  • ๐Ÿค– Artificial intelligence and intelligent systems
  • ๐Ÿ“‰ Statistical learning and predictive modeling
  • ๐Ÿ‘๏ธ Data visualization and visual analytics
  • ๐Ÿฅ Healthcare and biomedical data analytics
  • ๐Ÿ’ผ Business intelligence and business analytics
  • ๐ŸŒ IoT and edge data analytics
  • ๐Ÿ›ก๏ธ Cybersecurity analytics and anomaly detection
  • ๐Ÿ” Data privacy, security, and ethical analytics

๐ŸŒ Google Scholar and Open Access Research Dissemination

๐Ÿ”ต Google Scholar: Google Scholar is included in IJSREAT's supplied indexing and abstracting information. Authors should note that inclusion in a journal's indexing information does not guarantee that every article will appear immediately or achieve a particular level of visibility.

๐ŸŸฃ Open Access: IJSREAT's open-access model supports online accessibility of published research. This can help researchers, students, academic institutions, and industry professionals access data science findings without a subscription barrier to the published article.

๐Ÿ›ก๏ธ Peer Review, Plagiarism Protection and Publication Ethics

๐Ÿ”ต Peer Review: IJSREAT follows a peer-reviewed editorial process for evaluating submitted manuscripts. Data science papers are expected to demonstrate research relevance, originality, technical quality, appropriate methodology, and meaningful scholarly contribution.

๐ŸŸข Plagiarism Protection: Manuscripts undergo plagiarism screening and editorial checks as part of the publication workflow. Authors should submit original research and use appropriate citations when incorporating previous scholarly work.

๐ŸŸฃ COPE Compliance: IJSREAT states its commitment to publication ethics and COPE best-practice principles. Authors should follow responsible practices relating to originality, authorship, conflicts of interest, citations, research integrity, and ethical research conduct.

๐Ÿ“‹ Streamlined Publication Process for Data Science Papers

  1. ๐Ÿ“ Submit Online: Submit your data science manuscript through the online editorial management system.
  2. ๐Ÿ“ฉ Initial Response: Receive an acknowledgment according to the stated editorial workflow.
  3. ๐Ÿ”ฌ Expert Review: The manuscript proceeds through editorial and peer-review evaluation.
  4. ๐Ÿ“ข Decision Notification: Receive the editorial decision after the review process.
  5. ๐Ÿ“„ Publication & Certificate: Accepted articles proceed toward online publication, with access to available publication documents and certificates.

This streamlined workflow supports researchers seeking fast publication and rapid publication for data science, artificial intelligence, machine learning, computer science, engineering, and technology research.

๐Ÿ’ป Advanced Editorial Management System

๐Ÿ–ฅ๏ธ Author Dashboard: Authors can manage submissions and review manuscript information through a personalized online dashboard.

๐Ÿ“Š Real-Time Tracking: The system provides status information through different stages of manuscript processing.

๐Ÿ“‘ Automated Documents: The editorial management system supports relevant documents such as acceptance letters and copyright forms.

๐Ÿ“ฅ Easy Downloads: Authors can access available certificates and published research papers through the online system.

๐ŸŒ Multidisciplinary Data Science and Technology Research

IJSREAT extends beyond data science and computer science to include electrical, electronics and communication engineering, mechanical and civil engineering, chemical and environmental engineering, biomedical and biotechnology engineering, robotics and automation, renewable energy, sustainable technologies, materials science, nanotechnology, applied physics, chemistry, and mathematics.

This multidisciplinary approach enables data science researchers to present studies that connect analytics and intelligent algorithms with real-world applications in healthcare, agriculture, energy, manufacturing, education, smart cities, environmental monitoring, communication systems, and industrial automation.

๐Ÿš€ Submit Your Data Science Research to IJSREAT

If you are searching for Google Scholar indexed data science journals for publishing original research, review articles, or technical studies, IJSREAT provides a peer-reviewed, open-access platform covering data science, analytics, machine learning, artificial intelligence, computer science, engineering, and emerging technologies.

Before submission, researchers should review the journal's scope, author guidelines, publication charges, DOI options, indexing information, peer-review process, and applicable institutional requirements. Authors can then submit their manuscript through the online editorial management system.

๐Ÿ“ง For queries: editorinchief@ijsreat.com

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APC from โ‚น1200 + 18% GST

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