Scholar

Search academic literature with Google Scholar using effective queries, citations, and filters.

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Install skill "Scholar" with this command: npx skills add ivangdavila/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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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Scholar | V50.AI