How we calculate rankings

The story behind
every number

Scroll down to see how we transform raw data into meaningful rankings — step by step, completely transparent.

Step 01

We collect verified data

From government databases (HEMIS, DTM), international citation databases (Scopus, Web of Science), and OneID-verified user reviews. Every data point is timestamped and auditable.

HEMIS

Student records, faculty data

150+

Scopus

Research publications

45K+

DTM

Admission test scores

890K+

OneID

Verified user reviews

12K+

Step 02

Academic metrics (60%)

13 objective indicators are normalized min-max across all universities. Research output, faculty credentials, student-faculty ratio, and more.

Scopus publications15%
Citations per faculty15%
H-index10%
Faculty/student ratio8%
Faculty degrees8%

+ 8 boshqa ko'rsatkich

Step 03

Community voice (40%)

Verified students and alumni rate universities on 6 criteria. Each vote is weighted by verification level — OneID university email gets 2.0×, Telegram only gets 0.3×.

Overall

Teaching

Infrastructure

Employment

Value

Student life

Step 04

Final ranking

Academic score and public score are combined using our transparent formula. Rankings are recalculated daily at 03:00 Tashkent time.

Final score

0.0/100

Academic

0.0

× 60%

Public

0.0

× 40%

Updated daily · Fully auditable

Transparent methodology

How we rank universities

Every formula, weight, and data source — fully open and auditable

Overall score formula

Score =
60% Academic
+
25% Expert panel
+
15% Public opinion

Academic metrics breakdown

13 objective indicators, each normalized min-max across all universities

Scopus + WoS publications15%
Citations per faculty15%
H-index10%
Faculty/student ratio8%
Faculty with PhD/DSc8%
International partnerships7%
Research grants7%
Foreign faculty %5%
Patents5%
PhD programs5%
Accreditation5%
International students5%
Avg DTM admission score5%

Public opinion — 6 criteria

Verified users rate each university on 6 criteria (1-5 scale)

Overall quality
Teaching quality
Infrastructure
Employment outcomes
Value for money
Student life

Vote weighting by verification level

Higher verification = higher vote weight. Prevents fake reviews and brigading.

2.0×

OneID + .edu.uz

Verified student at accredited university

1.5×

OneID

National ID verified

0.8×

SMS

Phone verified

0.6×

Email

Email verified

0.3×

Telegram

Telegram only

Data sources

Scopus

Academic publications

Web of Science

Citation database

HEMIS

Ministry of Higher Ed

DTM

Test center data

OneID

User verification

LinkedIn

Alumni tracking

Methodology changelog

v1.2

2026-01-15

Added expert panel (25%), reduced public weight to 15%

v1.1

2025-09-01

Updated vote weights; reduced Telegram to 0.3×

v1.0

2025-06-01

Initial methodology: Academic 60% + Public 40%

Found an issue?

We publish all methodology changes publicly. Universities can dispute data via their cabinet.

methodology@nationalcouncil.uz
National Council — O'zbekiston Universitetlari Reytingi