OpenRLens

Choose your plan

Start with a 7-day free trial — no credit card required for Student & Faculty plans. Built on open scholarly data.

Student
$5/month
7-day free trial · no credit card needed
  • Discover global institution rankings
  • Full research signal analysis
  • Compare institutions side-by-side
  • Researcher profile lookup
  • Institution Intel deep-dive reports
  • Journal quality signals (Q1–Q4, ABDC, CORE)
Start free trial
Faculty / Researcher
$10/month
7-day free trial · 5 deep analyses included
  • All student features
  • Researcher profile & publication benchmarking
  • Journal quality signals (Q1–Q4, ABDC, CORE)
  • Institution Intel deep-dives
  • Ranking trends & pillar gap analysis
  • 20 deep analyses per month + PDF downloads
Start free trial
Most powerful
Consultants
$99/month
100 deep analyses · 100 PDF downloads per month
  • Everything in Faculty plan
  • Peer benchmarking across institutions globally
  • Research readiness matrix & portfolio prioritisation
  • Signal tracking & automated improvement workflows
  • Automated signal-gap action reports
  • !No free trial — pay to start
Get started

All prices in USD · Student & Faculty trials require no credit card · Powered by open scholarly data

Honest question, honest answer

The data is open — so why do we charge?

Yes, the underlying scholarly data is publicly available. What you're paying for is everything that happens next:

Collecting from 5 sources in parallel

Querying OpenAlex, Crossref, Europe PMC, CORE, and ranking databases — handling rate limits, authentication, and API quirks for each.

Deduplication & cleaning

The same paper often appears across multiple sources with different metadata. Merging them correctly is non-trivial work.

Computing 13 research signals

Each signal involves custom statistical logic — authorship patterns, funding presence, thematic continuity, and more.

Infrastructure & reliability

Keeping the pipeline fast, the API up, and results accurate for every search — around the clock.

Curating quality data

Journal tiers (Q1–Q4, ABDC, CORE), NIRF ranking data, and conference rankings require ongoing curation.

No ads. No bias.

No sponsored results, no institutional partnerships that influence what you see. Fees keep the platform independent.