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name: Scholar slug: scholar version: 1.0.0 description: Search academic literature with Google Scholar using effective queries, citations, and filters. homepage: https://clawic.com/skills/scholar metadata: clawdbot: emoji: 🎓 os: - linux - darwin - win32 displayName: Scholar

Google Scholar Research Rules

Query Construction

• Exact phrases in quotes: "machine learning" finds the phrase, not separate words
• Exclude terms with minus: neural networks -deep removes deep learning results
• OR for alternatives: "global warming" OR "climate change" — must be uppercase
• author: operator for specific researchers: author:"Y LeCun"
• source: for specific journals: source:"Nature" quantum computing
• intitle: forces term in title: intitle:transformer attention

Time Filters

• Custom range critical for recent research — default shows highly cited old papers first
• "Since 2023" for cutting-edge but less vetted work
• "Since 2020" balances recency and citation accumulation
• Sort by date for newest, sort by relevance for most cited — toggle based on need

Understanding Results

• Citation count indicates influence, not quality — popular isn't always right
• "Cited by X" link shows who built on this work — follow research forward
• "Related articles" finds similar work — useful after finding one good paper
• Versions link shows preprints and alternate copies — often free when journal isn't
• Quotation marks in snippet show exact matches — verify relevance before clicking

Finding Full Text

• Check "All versions" for free copies — preprints, institutional repositories
• Add filetype:pdf to find direct PDF links
• Unpaywall browser extension auto-finds legal free versions
• Request from authors directly — most will share, academia.edu and ResearchGate common
• Institutional access through library proxy — VPN to university network

Citation Analysis

• h-index visible on author profiles — measures productivity and impact
• "Cited by" sorted by relevance shows most influential citations
• Citation count alone misleads — review papers cite heavily but add less
• Self-citations inflate metrics — check who's actually citing
• Recent citations more meaningful for living research — old papers cited by habit

Alerts and Tracking

• Create alerts for search terms — email when new papers match
• Follow researchers via profiles — notifications for new publications
• "Cite" button exports to reference managers — BibTeX, EndNote, RefMan
• Save to library requires Google account — organizes papers for later

Limitations to Know

• Coverage biased toward English and STEM — humanities and non-English underrepresented
• No quality filter — predatory journals appear alongside legitimate ones
• Older papers may not be indexed — pre-digital era incomplete
• Cannot search full text — only titles, abstracts, and metadata
• Ranking algorithm opaque — not always clear why results ordered as shown

Evaluating Sources

• Check journal reputation before trusting — impact factor as rough guide
• Preprints not peer-reviewed — valuable for speed, treat as preliminary
• Conference papers vary by field — top-tier in CS, lower status in medicine
• Retracted papers may still appear — verify paper status before citing
• Thesis and dissertations are gray literature — use cautiously

Search Strategies

• Start broad, narrow with filters — missing papers worse than sorting many
• Combine Scholar with domain databases — PubMed for medicine, IEEE for engineering
• Snowball: find one good paper, explore its citations and references
• Check review papers for comprehensive coverage — synthesize existing knowledge
• Multiple queries with synonyms — terminology varies across disciplines

Common Mistakes

• Trusting citation count as quality measure
• Ignoring publication date — fields evolve, old papers may be outdated
• Stopping at first page of results — good papers may be buried
• Not checking for retractions or corrections
• Citing papers based only on abstract — always read methodology
• Missing preprint versions that are freely available