Data Science Journal Google Scholar – IJSREAT

The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is described as a bi-monthly, international, peer-reviewed, open-access and multidisciplinary online journal covering Science, Engineering and Technology. For researchers looking for a data science journal Google Scholar option, IJSREAT's stated scope includes Data Science & Analytics, Artificial Intelligence, Machine Learning and computer science.

IJSREAT was established by academicians, educationists, engineers and industry professionals to provide a platform for innovative ideas, original research findings, technological innovations and fundamental advancements. As an open-access peer-reviewed journal, it aims to connect academic research with practical applications in emerging areas.

✦ Data Science Journal – Scope of IJSREAT

IJSREAT welcomes original research papers, review articles and technical notes that contribute to Science, Engineering and Technology. Its broad multidisciplinary scope includes data science, artificial intelligence, machine learning, information technology and other areas of computer science.

• Electrical, Electronics and Communication Engineering
• Computer Science and Information Technology
• Mechanical and Civil Engineering
• Chemical and Environmental Engineering
• Biomedical and Biotechnology Engineering
• Artificial Intelligence, Machine Learning and Data Science
• Robotics, Automation and Internet of Things (IoT)
• Renewable Energy Systems and Sustainable Technologies
• Materials Science and Nanotechnology
• Applied Physics, Chemistry and Mathematics

◆ Data Science & Analytics Research Areas

The journal specifically identifies Data Science & Analytics as an area within its scope. Researchers can submit studies involving large-scale data frameworks, visualization, predictive analytics and ethical data practices.

• Big Data Frameworks: Hadoop and Spark.
• Data Visualization: Data visualization and storytelling.
• Predictive Analytics: Applications in business and healthcare.
• Data Ethics: Ethics in data collection and usage.

● Artificial Intelligence and Machine Learning

Data science research frequently connects with artificial intelligence and machine learning. IJSREAT's stated scope includes both areas, allowing researchers to position data-driven studies within a wider computer science and technology research context.

• Explainable AI (XAI) techniques
• Natural Language Processing (NLP) models
• AI in autonomous vehicles and robotics
• AI applications in medicine and diagnostics
• Supervised and unsupervised learning
• Reinforcement learning in gaming and robotics
• Federated and Edge Machine Learning
• Machine learning for anomaly detection and forecasting

✺ Computer Science, Cybersecurity, Cloud and IoT

IJSREAT also covers several technology areas that complement modern data science research. These include cybersecurity, cloud computing, Internet of Things, software engineering, blockchain and computer networks.

• Cybersecurity: AI-based malware detection, blockchain for cybersecurity, NIDS, cryptography and secure communication.
• Cloud Computing: Serverless architecture, cloud migration, hybrid cloud, virtualization and cost and energy optimization.
• IoT: Smart cities, connected devices, IoT security, sensor networks, Edge and Fog computing.
• Software Engineering: Agile, DevOps, quality assurance, testing, requirements engineering and Model-Driven Development.
• Blockchain: Smart contracts, decentralized applications, financial services, voting, consensus, scalability and security.
• Computer Networks: 5G/6G, SDN, network security and Internet performance optimization.

★ Emerging Data Science and Computer Science Topics

Beyond core analytics, the journal scope includes research in image processing and computer vision, human-computer interaction, robotics, NLP and quantum computing. These areas provide interdisciplinary opportunities for data science and computer science researchers.

• Image Processing & Computer Vision: Image segmentation, classification, object detection, face recognition and medical image analysis.
• Human-Computer Interaction: Usability, gesture and speech interfaces, eye tracking, AR/VR and accessibility.
• Robotics & Embedded Systems: Autonomous navigation, RTOS, robot kinematics and control, and embedded AI.
• Natural Language Processing: Sentiment analysis, summarization, translation, chatbots and low-resource languages.
• Quantum Computing: Shor's and Grover's algorithms, quantum cryptography, quantum systems and hybrid architectures.

⚡ Fast Publication and Rapid Review

Researchers searching for a data science journal Google Scholar publication option can review the publication workflow stated in the supplied IJSREAT information. The process is presented as a streamlined route from online submission through peer review, decision notification and publication.

1. Submit Online: 24/7 submission through the editorial management system.
2. Initial Response: Acknowledgment within 12 hours.
3. Expert Review: Complete peer review within 2 days.
4. Decision Notification: Acceptance or rejection within 3 days.
5. Publication & Certificate: Instant PDF access and digital certificate.

The source also states that its strict peer-review process delivers decisions within 3 days. These are the journal's stated workflow timeframes and should not be treated as a guarantee of acceptance or a guaranteed publication date.

₹ Low Cost Open Access Publication

IJSREAT describes its publication model as open access and states that a minimal fee is required after manuscript acceptance. The supplied source provides separate APC information for Indian and other than Indian authors.

The APC figures above are taken directly from the supplied source. Authors should confirm current fees, taxes, DOI arrangements and publication terms with the journal before submission.

✓ Google Scholar and Indexing & Abstracting

The supplied IJSREAT information explicitly lists Google Scholar under Indexing & Abstracting. Other services and platforms listed in the source include:

• Google Scholar
• Scribd
• ISSUU
• Elsevier Mendeley
• EuroPub
• DRJI
• Academic Keys
• Edocr
• I2OR
• PDFSR
• ResearchBIB
• SSRN
• WorldCAT
• Exlibris (part of Clarivate)
• Thomson Reuters - Research ID
• Semantic Scholar
• Dimensions
• PlumX

UGC CARE note: The supplied source does not establish that IJSREAT is currently listed in UGC CARE. Researchers who specifically require UGC CARE recognition should independently verify the current official status before submission.

✦ Why Consider IJSREAT for Data Science Research?

• Google Scholar: Google Scholar is listed by the source under indexing and abstracting.
• Open Access: The journal describes its publication model as open access.
• International Scope: IJSREAT is described as an international multidisciplinary journal.
• Peer Review: The source states that manuscripts undergo a strict peer-review process.
• Fast Publication: Stated workflow timeframes cover acknowledgment, review and decision stages.
• Low Cost: APC options are provided after manuscript acceptance.
• Computer Science: The journal scope covers multiple computer science and information technology areas.
• Publication Ethics: The source states adherence to COPE Best Practice Guidelines.

▣ Advanced Editorial Management System

• Author Dashboard: Personalized account with submission history and status updates.
• Real-time Tracking: Monitor the paper's progress through every stage.
• Automated Documents: Instant generation of acceptance letters and copyright forms.
• Easy Downloads: One-click access to certificates and published papers.

✎ Preparing a Data Science Manuscript

Authors preparing a data science manuscript should clearly present the research problem, objectives, data sources, methodology, analytical approach, results, discussion, limitations and conclusions. For studies involving analytics or machine learning, explain the data preparation and evaluation methods clearly.

A well-structured manuscript can make the research easier for reviewers to evaluate. Researchers can also ensure that the paper aligns with the journal's stated scope in Data Science & Analytics, artificial intelligence, machine learning or related computer science disciplines.

➜ Submit Your Data Science Research Paper

Researchers exploring a data science journal Google Scholar publication option can use the IJSREAT editorial management system for manuscript submission.

Submit Data Science Research Paper

For queries: editorinchief@ijsreat.com

🔎 Data Science Journal Google Scholar – Key Information

IJSREAT is described in the supplied source as an international, peer-reviewed, open-access journal with coverage across Data Science & Analytics, Artificial Intelligence, Machine Learning, computer science, engineering and emerging technologies.

For researchers searching for a data science journal Google Scholar option, the source lists Google Scholar under indexing and abstracting and describes a streamlined publication process with stated review and decision timeframes. It also provides low cost APC information and broad computer science coverage. UGC CARE status should be independently verified where it is a required publication criterion.