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Difference between SCI, SCIE, and SSCI - Indexing

Difference between SCI, SCIE, and SSCI Difference between SCI, SCIE, and SSCI SCI, SCIE, and SSCI are databases maintained by Web of Science (Clarivate Analytics) . They index high-quality journals after strict evaluation. 1. SCI (Science Citation Index) Indexes core science and engineering journals Older and more selective database Contains top-level science journals Used mainly for natural and physical sciences Example fields: Physics, Chemistry, Biology, Engineering 2. SCIE (Science Citation Index Expanded) Extension of SCI Indexes more journals than SCI Includes emerging and mid-level journals Most commonly referred as "SCI indexed" today Example fields: Engineering, Computer Science, Medical Sciences 3. SSCI (Social Sciences Citation Index) Indexes social science journals Separate from science journals Focused on social science research Example fields: Management, Economics, Psychology, Education, Sociology Comparison T...

Is national journals indexed in SCI and Scopus?

Are National Journals Indexed in SCI and Scopus? Yes, some national journals can be indexed in SCI and Scopus, but most are not. Indexing depends on journal quality and standards, not on the country name. When a National Journal Can Be Indexed Strong peer review process Regular publication schedule International authors and editors Good citation record Ethical publishing policy Proper technical standards (ISSN, DOI, etc.) If a national journal meets these criteria, it can be accepted into Scopus or SCI. When National Journals Are Not Indexed Only local publications Low citation impact Weak review process Fast acceptance of papers Focus mainly on publication fees Important Point Terms like “National Journal” and “International Journal” are not indexing standards. These are marketing terms only. Real indexing is Scopus and Web of Science (SCI). How to Check Real Indexing Check journal name in Scopus Sources List Check journal name in Web o...

Fake Journals vs Real Journals

Fake Journals vs Real Journals Fake (predatory) journals exist only to collect money and do not follow proper peer review. Real journals follow strict academic standards and proper review process. Fake Journals (Predatory Journals) Accept paper in 1–3 days No reviewer comments Ask for publication fee immediately Claim fake indexing (Scopus / SCI) Use copied logos (IEEE, Springer, etc.) Very broad scope (accept all subjects) Poor website with grammar mistakes No real editorial board No real publisher Low quality or copied papers Real Journals (Reputed Journals) Take weeks or months for review Provide reviewer comments Ask for revisions Clear indexing proof (Scopus / SCI) Have real publisher (IEEE, Springer, Elsevier, ACM) Focused research scope Professional website Real editors and reviewers High quality published papers Accepted by universities Comparison Table Fake Journals Real Journals Fast acceptance Slow and proper review M...

List of trusted publishers (IEEE, Springer, ACM, Elsevier)

Trusted Academic Publishers These publishers are globally recognized and follow proper peer review process. Publishing with these is safe and accepted by universities worldwide. 1. IEEE (Institute of Electrical and Electronics Engineers) Fields: Engineering, Computer Science, Electronics Publishes: Journals and Conferences Well known for technical research Indexed in Scopus and Web of Science 2. Springer (Springer Nature) Fields: Computer Science, Engineering, Science, Medicine Publishes: Journals, Books, Conference Proceedings (LNCS) Strong reputation in academia Indexed in Scopus and Web of Science 3. ACM (Association for Computing Machinery) Fields: Computer Science and IT Publishes: Top CS conferences and journals Highly respected in software and computing research Indexed in Scopus and Web of Science 4. Elsevier Fields: Engineering, Science, Medicine, Social Sciences Publishes: Journals and conference series Popular platforms: Scienc...

How to identify fake (predatory) conferences

How to Identify Fake Conferences Fake or predatory conferences exist only to collect money and do not follow proper peer review. Here are the clear ways to identify them. 1. Abstract Accepted in 1 or 2 Days They accept your abstract very quickly No reviewer comments No revision request Real conferences take weeks for review. 2. They Ask for Money Immediately Mail says: "Abstract accepted, pay registration fee" No proper review done Payment is their main focus 3. Fake Indexing Claims They claim: Scopus indexed, but not really They use logos of Scopus, IEEE, Springer without proof They do not give official link to index 4. No Reputed Publisher Not IEEE, ACM, Springer, Elsevier Unknown publisher name No past conference proceedings 5. Poor Website Quality Spelling and grammar mistakes No proper address No real university mentioned No organizing committee details 6. Very Broad Topics Accepts all fields: Engineering, Med...

Is Conferences that accept papers based on Abstract only ?

Conferences Accepting Papers Based on Abstract Not all conferences accept papers by abstract only. It depends on the conference type and track. 1. Workshop Conferences These are part of big conferences. Accept title and abstract Sometimes short paper (2–4 pages) Used for early-stage research 2. Symposiums Accept abstract first Full paper submitted later Used for student and initial research 3. Student / Doctoral Consortium Tracks Accept extended abstract (2–4 pages) Research proposal instead of full paper Used for PhD students 4. Poster Presentation Tracks Accept abstract only Poster or short paper later Used for preliminary results 5. Multidisciplinary Conferences Accept abstract then full paper Usually low to medium level Conferences That Do NOT Accept Abstract Only Top IEEE conferences Top ACM conferences Reputed Springer and Elsevier conferences These require full paper and detailed peer review. Warning About F...

Field-specific SOP (CS / ECE / Mechanical / Physics)

Field Specific PhD SOP Samples 1. Computer Science (CS) – Sample SOP Statement of Purpose I am applying for the PhD program in Computer Science with a strong interest in research in the areas of Machine Learning and Data Science. My academic background and research experience have motivated me to pursue advanced research in this domain. I completed my Bachelor’s degree in Computer Science from XYZ University, where I developed a strong foundation in programming, data structures, and algorithms. During my Master’s degree, I worked on a research project titled “Prediction Models for Healthcare Data,” where I implemented machine learning algorithms and evaluated their performance using real datasets. This work helped me understand experimental analysis and technical documentation. My research interest lies in building efficient and interpretable machine learning models for real-world applications. I am particularly interested in explainable artificial intelligence and...