OpenRLens

Rankings measure reputation.
We measure research quality.

Is this program leading its own research? Funded independently? Are the faculty active researchers — or teaching from last decade's knowledge? OpenRLens answers those questions using open scholarly data, so you stop guessing and start deciding with confidence.

Students · All Levels

  • Choose a program based on research quality, not reputation
  • Know if the faculty are active researchers before you commit
  • Compare institutions side by side on real signals
  • Ask the AI Advisor — get instant answers about any program or signal

Faculty & Researchers

  • Understand the research culture at institutions you're targeting
  • See your publication profile and journal quality signals
  • Find the right journals for your next paper with AI recommendations
  • Compare your department against genuine peers using research metadata

Institutions & Consultants

  • See which research areas show weaker signals before the next ranking cycle
  • See which faculty are driving output and which areas show lower activity
  • Data-driven research analysis, not editorial guesswork

How It Works

Discover. Analyse. Compare. Profile. Ask AI.

Step 1 — Discover

Find institutions active in your research area

Search by research topic — not institution name. See which institutions worldwide are publishing and leading funded work in that area. Filter by country. Build your shortlist before you commit.

Step 2 — Analyse

Verify the depth behind the activity

Run 13 research signals on any institution × field combination. Some that look strong in Discover will reveal structural weaknesses here. That's exactly the point.

Step 3 — Compare

Put up to 3 institutions side by side

Compare all signals across institutions on the same program. Auto-generated plain-English remarks highlight the key differences — no need to read every number yourself.

Step 4 — Faculty & Researcher Profiles

Know who you'll actually be working with

Look up any faculty member or researcher by name. See publications, citation trajectory, h-index, and journal quality signals (Q1–Q4, ABDC, CORE). Faculty can verify their ORCID and track their own profile.

Step 5 — Institution Intelligence

Ranking trends, pillar gaps, and strategic insights

Designed for institutions, faculty, and consultants who need to act on ranking data — not just read it. Trend tracking, pillar-level gap analysis, peer benchmarking, and research investment scoring. Currently covering the India NIRF framework, with more ranking systems planned. Institution / Consultant plan.

Research signals are computed live from OpenAlex, Crossref, Europe PMC, and CORE — four open scholarly databases queried in parallel, deduplicated, and merged. No stored editorial judgements. Institution Intelligence additionally draws from official ranking submission data where available — currently NIRF (India), with more frameworks planned.

Research Signals

13 signals. Plain language. No black boxes.

Structural Signals · 5 scored + 1 informational

Research Independence

Does the institution lead its own work, or mostly support others as co-authors?

Author Stability

Are there researchers who stay and build over multiple years, or is the author pool constantly turning over?

Output Stability

Does the program publish consistently year after year, or in sporadic bursts?

Thematic Continuity

Does the department maintain a focused research identity, or scatter across many unrelated topics?

Collaboration Dependency

Is output dangerously concentrated on a few external partners who could leave?

Research Concentration (informational)

How concentrated is citation impact across the author pool?

Funding Signals · 5 scored

Funding Presence

How much of the research output acknowledges external funding sources?

Funding Leadership

On funded papers, does this institution lead the work — or just appear in the author list?

Funding–Theme Alignment

Is the externally funded work actually in the same research area as the core program?

External Funding Anchoring

How much of the funded output is led by other institutions — not this one?

Funding Dependency Differential

Is the institution more confident as an independent researcher than as a funded partner — or vice versa?

Mentorship & Diversity · 2 informational

Mentorship Diversity Index

Are new researchers being regularly inducted into the program, or is the author pool stagnant?

Gender Balance Index

Estimated gender balance among first authors — name-based inference, indicative only.

Gender Balance Index is an indicative estimate only. Gender is inferred from author first names using a statistical model (~80–85% accuracy for Western names; lower for other origins). It does not reflect self-identified gender and should not be used as a definitive diversity measure.

Faculty & Researcher Profiles

Know who you'll be learning from — before you commit.

Search any faculty member or researcher by name and institution. See their full publication history, citation trajectory, h-index, top venues, and journal quality signals (SCImago Q1–Q4, ABDC, CORE rankings). Faculty can verify their own ORCID and track their own research profile.

Search faculty & researchers →

AI Tools

Ask questions. Get answers. Find the right journals.

Two AI-powered tools built into OpenRLens — free to use, no separate subscription.

🤖

AI Research Advisor

Your research strategy question, answered instantly.

The AI Advisor is available on every page — click the chat icon in the corner. Ask it anything: which institutions are strong in your field, what a signal score means, how to interpret your analysis results, or how to strengthen a research program. It has full context of the OpenRLens platform and your current analysis.

  • Available on every page — no navigation needed
  • Understands your current analysis in context
  • Research strategy, signal interpretation, institution guidance
📄

Journal Recommender

Find the right journal before you submit.

Paste your paper title and abstract into any researcher profile page. The AI recommends the best-fit journals and conferences based on your paper's specific contribution, your publication history, and journal quality signals (SCImago, ABDC, CORE). No more guessing which venue is right.

  • Recommends journals ranked by fit — not just by prestige
  • Cross-references SCImago Q1–Q4, ABDC, and CORE rankings
  • Available on every researcher profile page
Open researcher search →

Institution Intelligence

Ranking trends. Benchmarks. Strategic gaps.

For institutions and consultants who need to act on ranking data — not just monitor it. Currently covering the India NIRF framework.

Ranking Trends

Track overall rank and sub-score trends across years. See whether momentum is building, stalling, or reversing — before it shows up in the headline number.

Pillar Gap Analysis

Find exactly how many points separate your institution from the next rank — and which pillar is the highest-leverage improvement opportunity right now.

Peer Benchmarking

Compare your sub-scores against the median, 25th, and 75th percentile of institutions in the same category and tier.

Research & PhD Data

PhD output, sponsored research income, faculty strength, and financial health — extracted directly from official annual report submissions.

Privacy

No tracking. Your data stays yours.

Anonymised visit count only

Your IP is one-way hashed with a server salt. The raw IP is never stored or logged.

No cookies or tracking scripts

No third-party analytics, no ad retargeting, no remarketing pixels.

Account data is minimal

Sign-in via Clerk (email or OAuth). We store only what's needed to manage your subscription and saved analyses.

Free tier — no card required

Discover, Analyse, and Compare with a limited preview, no sign-up needed. A free account (7-day trial) unlocks full signal access.

Research signals — not culture signals

We measure output patterns from the published record — not teaching quality, advisor relationships, student satisfaction, or campus culture. Use these signals alongside other information, not instead of it.

Gender Balance Index is indicative only

Estimated from first names using a statistical model. Does not reflect self-identified gender and should not be used as a definitive or official diversity measure.

Independence notice — OpenRLens is an independent platform, not affiliated with, endorsed by, or representing any employer, university, funding body, or government agency. All metrics are derived from open and publicly available scholarly data. Results do not constitute official rankings. Have feedback or a question? info@openrlens.com