AI and Computer Vision Journal Scopus | Low Cost & Fast Publication | INDJCST
AI and Computer Vision Journal Scopus – Low Cost & Fast Publication
The Indian Journal of Computer Science and Technology (INDJCST) (e-ISSN: 2583-5300) stands among the most trusted AI and Computer Vision journals indexed in Scopus and Google Scholar. It provides a low cost and fast publication platform for researchers, academicians, and industry professionals working in Computer Science, Machine Learning, and Artificial Intelligence.
The journal follows UGC CARE guidelines and maintains COPE publication ethics to ensure quality and integrity in research dissemination. INDJCST’s rapid review and open access model make it an ideal choice for authors seeking rapid publication with global visibility.
🤖 Research Areas Covered by INDJCST
INDJCST publishes innovative research in Artificial Intelligence, Machine Learning, and Computer Vision, serving as a Scopus-indexed hub for interdisciplinary advances in Computer Science and Data Technology.
- Artificial Intelligence and Deep Learning Models
- Computer Vision and Image Processing
- Data Science and Big Data Analytics
- Neural Networks and Pattern Recognition
- Cybersecurity and Intelligent Systems
- Cloud Computing and Edge AI
- Internet of Things (IoT) Applications
- Blockchain Technology and Smart Systems
- Natural Language Processing (NLP)
- Bioinformatics, Robotics, and Automation
🌟 Why Choose INDJCST – AI and Computer Vision Journal Scopus
INDJCST offers a seamless publication experience for AI researchers looking for a Scopus-indexed computer vision journal that ensures low cost, rapid publication, and international recognition.
- Low Cost Publication: Affordable fees for both Indian and international authors.
- Fast Review Process: Peer review completed within 3 days.
- Rapid Publication: Online publication within 5 days of acceptance.
- UGC CARE Compliant: Academic credibility with recognized indexing.
- Scopus and Google Scholar Indexed: Ensures visibility and global citations.
- COPE Ethical Practices: Strict adherence to international publishing ethics.
⚙️ Transparent and Rapid Publication Workflow
INDJCST simplifies the publishing process for AI and computer vision researchers through a rapid publication system designed for efficiency and author convenience.
- Step 1: Submit your manuscript via the editorial system.
- Step 2: Get acknowledgment within 12 hours.
- Step 3: Peer review completed within 2 days.
- Step 4: Decision within 3 days.
- Step 5: Immediate publication with digital certificate.
💰 Article Processing Charges
INDJCST follows a low cost publication model to encourage research in AI and computer vision. Charges apply only after manuscript acceptance.
- Indian Authors: ₹1200 (without DOI) or ₹1400 (with DOI) + 18% GST
- International Authors: $60 USD (with DOI)
- Open Access: Freely accessible papers for global reach and impact.
🔍 Indexing and Abstracting
INDJCST’s inclusion in major databases enhances the visibility and citation impact of published research, making it one of the most reputed AI and Computer Vision Scopus journals.
- Scopus
- Google Scholar
- Elsevier Mendeley
- EuroPub
- DRJI
- ResearchBIB
- Semantic Scholar
- WorldCAT
- Dimensions
- PLumX Metrics
🧠 Advanced Editorial and Tracking System
- Author Dashboard: Monitor your submissions and progress.
- Automated Documents: Acceptance and copyright letters generated instantly.
- Real-Time Tracking: Transparency through every publication stage.
- Plagiarism Protection: High-quality plagiarism screening tools.
🧩 Key Features of INDJCST
- Peer-reviewed and refereed AI and computer science journal.
- Low cost and transparent publication process.
- Rapid publication within a week of acceptance.
- High indexing visibility and open access.
- Compliant with UGC CARE and COPE ethics.
🚀 Submit Your AI and Computer Vision Paper Today
Publish in INDJCST — the leading AI and Computer Vision journal Scopus indexed for fast publication and low cost research dissemination. Get indexed in Google Scholar and recognized under UGC CARE.
