About
About OpenRLens
Rankings tell you who is famous. We tell you what the research actually looks like.
OpenRLens is a research intelligence platform for students, researchers, and institutions who want to make better decisions based on what a program actually produces — not what a ranking committee decided last year.
It was built out of a real need: most students apply to programs based on brand reputation or word of mouth, with no visibility into faculty stability, funding independence, or research trajectory. Most faculty have no easy way to benchmark their department against genuine peers. OpenRLens puts that data — sourced from open scholarly infrastructure — into one place with a personalised AI Advisor to help you act on it.
It is an independent platform, not affiliated with any university, ranking agency, or government body. All signals are derived from publicly available scholarly metadata — not editorial judgements.
Principles
What We Stand For
Open Data, Not Editorial Guesswork
Every signal is computed from open scholarly data. No editorial scoring. No black boxes. The methodology is published on this site.
Personalised, Not Generic
The AI Advisor learns your stage, field, academic profile, and psychology — then recommends based on your situation, not a one-size-fits-all ranking list.
Decisions, Not Just Data
OpenRLens guides you from first exploration all the way to a saved application plan. Discover → Shortlist → Compare → Advisor verdict — one connected flow.
Privacy by Default
No ad tracking. No third-party analytics scripts. IP addresses are one-way hashed and never stored in raw form. Your profile data is used only to personalise your experience.
What's inside
Platform Features
My Advisor
Personalised AI guide — profile → recommendations → shortlist → verdict → application plan
13 Research Signals
Structural, funding, and trajectory signals computed live from four open scholarly databases
Discover
Find every institution active in a research topic globally — map view, country filter, live scores
Compare
Side-by-side signal comparison across up to 4 institutions, with AI-assisted plain-English remarks
Faculty & Researcher Profiles
Publication history, h-index, citation trajectory, journal quality (Q1–Q4, ABDC, CORE)
Research Fit
Match your research interest to faculty publication topics at any institution
Institution Intelligence
NIRF ranking trends, pillar gap analysis, and peer benchmarking — for institutions and consultants
NIRF Rankings
India NIRF ranking data with year-on-year trend tracking and insights
Where data comes from
Data Sources
Research signals are computed from open scholarly data queried in parallel, deduplicated, and merged. No stored editorial judgements. Journal and conference quality tiers (Q1–Q4, ABDC, CORE) are from open reference lists.
All metrics are derived from open scholarly data and are not official rankings.
Built In Partnership With