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Enhance literature search and research lookup documentation
- Added criteria for identifying high-quality literature, emphasizing the importance of Tier-1 journals and citation counts. - Updated guidelines for citation finding to prioritize influential papers and reputable authors. - Revised abstract writing instructions to reflect the preference for flowing paragraphs over structured formats. - Included best practices for generating AI schematics, specifically regarding figure numbering and content clarity.
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@@ -325,27 +325,32 @@ Find papers that cite a key paper:
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#### Backward Citation Search
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Review references in key papers:
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- Extract references from included papers
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- Search for highly cited references
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- Search for highly cited references (500+ citations for older papers)
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- Identifies foundational research
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- **Tip:** Focus on references that appear in multiple papers' bibliographies
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### Snowball Sampling
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1. Start with 3-5 highly relevant papers
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1. Start with 3-5 highly relevant papers **from Tier-1 venues**
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2. Extract all their references
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3. Check which references are cited by multiple papers
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4. Review those high-overlap references
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4. Review those high-overlap references - these are likely seminal
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5. Repeat for newly identified key papers
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6. **Prioritize papers with high citation counts** at each step
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### Author Search
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Follow prolific authors in the field:
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Follow prolific and reputable authors in the field:
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- Search by author name across databases
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- Check author profiles (ORCID, Google Scholar)
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- Check author profiles (ORCID, Google Scholar) for h-index and publication venues
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- Review recent publications and preprints
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- **Prefer authors with multiple Tier-1 publications** and high h-index (>40)
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- Look for senior authors who are recognized field leaders
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### Related Article Features
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Many databases suggest related articles:
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- PubMed "Similar articles"
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- Semantic Scholar "Recommended papers"
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- Use to discover papers missed by keyword search
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- **Filter recommendations by citation count and venue quality**
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---
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