OpenAlex Works Normalizer — Academic Paper Search & Enrichment

Search 250M+ scholarly works from OpenAlex with intelligent normalization and enrichment. Enter a keyword, author, institution, or field — get cleaned, deduplicated, and categorized results with author name resolution, institution dedup, topic classification, citation impact tiers, and open-access filtering.

Data source: OpenAlex (free, no API key required)
License: OpenAlex data is CC0 (public domain)

---

Input Parameters

Parameter	Type	Required	Default	Description
searchQuery	string	No	"deep learning medical imaging"	Search by keyword, title, or abstract
authors	string[]	No	[]	Filter by author name(s)
institutions	string[]	No	[]	Filter by institution name(s)
fields	string[]	No	[]	Filter by research field(s) (e.g. Medicine, Computer Science)
publicationYearStart	integer	No	2020	Minimum publication year
publicationYearEnd	integer	No	2025	Maximum publication year
minCitations	integer	No	0	Minimum citation count filter
workType	select	No	All types	Filter by publication type
openAccess	select	No	Any status	Filter by OA status
maxResults	integer	No	50	Max results (1–500)
sortBy	select	No	cited_by_count	Sort by citations, relevance, or year
includeAbstract	boolean	No	false	Include full abstract in output

Example Input

{
  "searchQuery": "machine learning drug discovery",
  "publicationYearStart": 2022,
  "publicationYearEnd": 2025,
  "minCitations": 10,
  "workType": "article",
  "openAccess": "gold",
  "maxResults": 25,
  "sortBy": "cited_by_count"
}

Example Output (per work)

{
  "title": "Deep learning for drug discovery: a comprehensive review",
  "doi": "https://doi.org/10.1016/...",
  "openalexId": "https://openalex.org/W...",
  "publicationYear": 2024,
  "type": "article",
  "citedByCount": 342,
  "citationImpact": "Significant Impact",
  "source": "Nature Reviews Drug Discovery",
  "publisher": "Nature Publishing Group",
  "authorCount": 5,
  "institutionCount": 3,
  "countryCount": 2,
  "authors": [
    {
      "name": "John M. Smith",
      "normalizedName": "John M. Smith",
      "institutions": ["MIT"],
      "countries": ["United States"]
    }
  ],
  "fields": ["Computer Science", "Medicine"],
  "fieldCategories": ["Computer Science and AI", "Health Sciences"],
  "oaStatus": "gold",
  "oaStatusDescription": "Open access published in a fully OA journal",
  "concepts": ["Deep learning", "Drug discovery", "Artificial intelligence"]
}

Output Stores

Store Key	Contents
OUTPUT	Human-readable summary table with top results, field distribution, and country breakdown
RESULTS	Full dataset items (normalized and enriched)
STATS	Machine-readable statistics and distributions

Use Cases

• Literature review automation — find high-impact papers on any topic with one query
• R&D competitive intelligence — discover what institutions and countries lead in a field
• Grant/funding research — identify top-cited papers, trending topics, and key authors
• AI/ML data preparation — build training datasets of scholarly metadata with deduplication
• Research analytics — field distribution, country mapping, and OA status analysis
• Academic benchmarking — compare institutional output across research areas

Value-Add: What This Actor Normalizes

• Author names — deduplicates across institutional affiliations ("Hinton G." → "Geoffrey Hinton")
• Institutions — resolves common aliases ("MIT" → "Massachusetts Institute of Technology")
• Citation impact tiers — classifies papers by citation count (Highly Influential, Significant Impact, etc.)
• Research fields — maps OpenAlex field names to broad categories (e.g. "Biochemistry" → "Life Sciences")
• Country names — converts ISO codes to full country names
• OA status — provides human-readable descriptions of open access status
• Title cleanup — removes excessive whitespace and stray punctuation