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---
name: Scholar
description: Search academic literature with Google Scholar using effective queries, citations, and filters.
metadata: {"clawdbot":{"emoji":"π","os":["linux","darwin","win32"]}}
---
# 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" β 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 β 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 β toggle based on need
## Understanding Results
- Citation count indicates influence, not quality β popular isn't always right
- "Cited by X" link shows who built on this work β follow research forward
- "Related articles" finds similar work β useful after finding one good paper
- Versions link shows preprints and alternate copies β often free when journal isn't
- Quotation marks in snippet show exact matches β verify relevance before clicking
## Finding Full Text
- Check "All versions" for free copies β preprints, institutional repositories
- Add filetype:pdf to find direct PDF links
- Unpaywall browser extension auto-finds legal free versions
- Request from authors directly β most will share, academia.edu and ResearchGate common
- Institutional access through library proxy β VPN to university network
## Citation Analysis
- h-index visible on author profiles β measures productivity and impact
- "Cited by" sorted by relevance shows most influential citations
- Citation count alone misleads β review papers cite heavily but add less
- Self-citations inflate metrics β check who's actually citing
- Recent citations more meaningful for living research β old papers cited by habit
## Alerts and Tracking
- Create alerts for search terms β email when new papers match
- Follow researchers via profiles β notifications for new publications
- "Cite" button exports to reference managers β BibTeX, EndNote, RefMan
- Save to library requires Google account β organizes papers for later
## Limitations to Know
- Coverage biased toward English and STEM β humanities and non-English underrepresented
- No quality filter β predatory journals appear alongside legitimate ones
- Older papers may not be indexed β pre-digital era incomplete
- Cannot search full text β only titles, abstracts, and metadata
- Ranking algorithm opaque β not always clear why results ordered as shown
## Evaluating Sources
- Check journal reputation before trusting β impact factor as rough guide
- Preprints not peer-reviewed β valuable for speed, treat as preliminary
- Conference papers vary by field β top-tier in CS, lower status in medicine
- Retracted papers may still appear β verify paper status before citing
- Thesis and dissertations are gray literature β use cautiously
## Search Strategies
- Start broad, narrow with filters β missing papers worse than sorting many
- Combine Scholar with domain databases β PubMed for medicine, IEEE for engineering
- Snowball: find one good paper, explore its citations and references
- Check review papers for comprehensive coverage β synthesize existing knowledge
- Multiple queries with synonyms β terminology varies across disciplines
## Common Mistakes
- Trusting citation count as quality measure
- Ignoring publication date β fields evolve, old papers may be outdated
- Stopping at first page of results β good papers may be buried
- Not checking for retractions or corrections
- Citing papers based only on abstract β always read methodology
- Missing preprint versions that are freely available