International Data Science Journal | IJSREAT Research
The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access, multidisciplinary online journal dedicated to advancing research across Science, Engineering, and Technology. Researchers looking for an international data science journal can explore its stated scope in data science, artificial intelligence, machine learning, computer science, and related technological fields.
IJSREAT was established by academicians, educationists, engineers, and industry professionals with the objective of providing a platform for innovative ideas and research findings. The journal focuses on original research contributions, technological innovations, and fundamental advancements across diverse engineering and scientific disciplines.
As a scholarly open-access peer-reviewed journal, IJSREAT describes its role as a bridge between the academic community and industry. Its multidisciplinary scope supports research in data science, computer science, artificial intelligence, machine learning, cybersecurity, cloud computing, IoT, software engineering, and other emerging technology areas.
International Data Science Journal for Research
An international data science journal can provide researchers with a platform for studies involving data analytics, big data, predictive modeling, machine learning, visualization, artificial intelligence, and related computing technologies. IJSREAT lists Artificial Intelligence, Machine Learning, and Data Science within its stated scope.
🌍 International Data Science Research Scope
The journal's Data Science & Analytics scope includes several areas relevant to contemporary research. Authors preparing manuscripts for an international data science journal can consider topics such as:
- Big Data frameworks including Hadoop and Spark
- Data visualization and storytelling
- Predictive analytics in business and healthcare
- Ethics in data collection and usage
🤖 Artificial Intelligence and Machine Learning
IJSREAT includes artificial intelligence and machine learning within its scope, supporting interdisciplinary research connecting data science with modern computer science and engineering applications.
- Explainable AI (XAI) techniques
- Natural Language Processing (NLP) models
- AI applications 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 and Information Technology
The stated scope of this international data science journal extends beyond data analytics into several computer science and technology disciplines. This broad coverage can support interdisciplinary research linking data science with other computing applications.
- Cybersecurity: AI-based malware detection, blockchain for cybersecurity, network intrusion detection systems, cryptography, and secure communication.
- Cloud Computing: serverless architecture, cloud migration, hybrid cloud, virtualization, containers, and cost and energy optimization.
- Internet of Things: smart cities, connected devices, IoT security, sensor networks, Edge computing, and Fog computing.
- Software Engineering: Agile, DevOps, software quality assurance, testing, requirements engineering, prototyping, and Model-Driven Development.
- Blockchain Technology: smart contracts, decentralized applications, financial services, voting applications, consensus mechanisms, scalability, and security.
- Computer Networks: 5G/6G wireless technologies, Software Defined Networking, network security protocols, and Internet performance optimization.
- Image Processing and Computer Vision: image segmentation, classification, object detection, face recognition, biometrics, and medical image analysis.
- Human-Computer Interaction: usability, gesture and speech interfaces, eye tracking, AR/VR interfaces, and accessibility in UI/UX.
- Robotics and Embedded Systems: autonomous navigation, RTOS, robot kinematics, control, and embedded AI.
- Natural Language Processing: sentiment analysis, text summarization, language translation, chatbots, virtual assistants, and low-resource languages.
- Quantum Computing: quantum algorithms, quantum cryptography, challenges in quantum systems, and hybrid quantum-classical architectures.
⚡ Rapid Peer Review and Fast Publication
IJSREAT states that its strict peer-review process delivers decisions within 3 days. The supplied publication workflow also describes an initial acknowledgment within 12 hours, expert review within 2 days, and acceptance or rejection notification within 3 days. Actual processing time can depend on editorial and peer-review requirements.
- Submit Online: 24/7 submission through the editorial management system.
- Initial Response: Acknowledgment stated to be provided within 12 hours.
- Expert Review: Peer review stated as being completed within 2 days.
- Decision Notification: Acceptance or rejection stated within 3 days.
- Publication & Certificate: Instant PDF access and digital certificate after publication.
💰 Low Cost and Open Access Publication
The journal describes its publication model as open access, with a minimal fee payable after manuscript acceptance. The supplied information lists the following charges for Case Reports, Original Articles, and Review Articles:
| Author Category | Publication Option | Listed APC |
|---|---|---|
| Indian Authors | Without DOI | 1200 INR + 18% GST |
| Indian Authors | With DOI | 1400 INR + 18% GST |
| Authors other than Indian Authors | With DOI | $80 USD |
Researchers searching for a low cost international publication venue can review these stated APCs together with the journal's scope, editorial process, indexing information, and applicable institutional requirements.
🌐 Google Scholar and Research Visibility
IJSREAT states that its publications are immediately accessible through its open-access model. The supplied information lists Google Scholar among its indexing and abstracting services. Other listed services include Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Exlibris, Thomson Reuters Research ID, Semantic Scholar, Dimensions, and PlumX.
Authors should independently verify the current status of any indexing, abstracting, accreditation, or institutional recognition before relying on it for university, employment, promotion, funding, or other academic requirements.
🔎 UGC CARE and International Journal Selection
Researchers searching for an international data science journal may also encounter terms such as UGC CARE, Google Scholar, low cost, fast publication, rapid publication, and computer science. These criteria should be evaluated separately. A journal's presence in a particular database does not by itself establish UGC CARE recognition or another institutional status.
Before submitting a manuscript, researchers should confirm the publication requirements of their university, employer, funding body, or relevant academic authority and determine whether the journal satisfies those specific requirements.
📝 Advanced Editorial Management System
The journal's supplied information describes an editorial management system designed to help authors monitor their manuscripts and access publication documents.
- Author Dashboard: Personalized submission history and status updates.
- Real-Time Tracking: Monitoring of manuscript progress through publication stages.
- Automated Documents: Instant generation of acceptance letters and copyright forms.
- Easy Downloads: One-click access to certificates and published papers.
📚 International Data Science Research Areas
The journal's broad scope allows research in data analytics, predictive modeling, machine learning, artificial intelligence, big data, data visualization, cybersecurity, cloud computing, IoT, natural language processing, computer vision, and other listed areas of computer science and technology.
IJSREAT also encourages interdisciplinary submissions that bridge theory and practice and foster collaboration across science and engineering domains.
🚀 Submit Your International Data Science Manuscript
Researchers whose manuscripts fit the stated scope can review the journal's submission process, peer-review information, APC details, indexing information, and applicable institutional requirements before submission. For queries, the supplied information lists editorinchief@ijsreat.com.
Submission Portal: Submit Manuscript to IJSREAT
⭐ International Data Science Journal – IJSREAT
IJSREAT presents itself as an international, peer-reviewed, open-access journal covering data science, artificial intelligence, machine learning, and multiple areas of computer science. Its supplied information includes a stated rapid peer-review workflow, open-access publication, article processing charges, and Google Scholar among its listed indexing and abstracting services. Researchers can review these details alongside their manuscript topic and institutional publication requirements when considering IJSREAT as an international data science journal.