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Research Source Suggest

QS-aware multidisciplinary journal recommender

Suggest multidisciplinary journal QS — with transparent Q1, faculty coverage, and H-index signals.

APP DEMO

VINUNI SOURCE DATA

AI-ASSISTED INPUT

Describe your research...

Find

Suggested QS Subjects

Data Science

Medicine

Computer Science

Top Recommendation

Example Journal

Q1

3/5 QS Broad Faculties · H-index 185

SCImago ↗

Scopus ↗

research-source-suggest-vuni.streamlit.app

Research Source Suggest

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The problem: journal choice is hard

Researchers know the topic, but mapping it to QS subjects and journal-quality signals takes time.

Research topic

“Machine learning for cardiovascular disease prediction”

AI

Clinical data

Medical imaging

The topic crosses methods, applications, and disciplines.

Without a structured tool

QS subjects?

Q1?

Which faculty?

H-index?

SJR?

Scopus link?

What users need

Relevant QS subjects

not guessed

Q1 priority

quality signal

Broad faculty coverage

interdisciplinary signal

External verification

SCImago + Scopus

research-source-suggest-vuni.streamlit.app

Research Source Suggest

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What the app does

It turns a research topic or selected QS subjects into an auditable journal shortlist.

1

Input

Describe research

or select QS subjects

2

QS mapping

Identify relevant

QS Subjects

3

Search

Find real journals

from SQLite

4

Rank

Q1 → faculty breadth

→ H-index

5

Verify

SCImago + Scopus

links

Trust principle

AI helps interpret the research topic; the database and deterministic ranking engine choose the journals.

research-source-suggest-vuni.streamlit.app

Research Source Suggest

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Two ways to start — same recommendation engine

Users can rely on AI-assisted subject detection or choose QS subjects manually.

✨ Describe my research

Paste a title, abstract, keywords, or a short research question.

“LLM applications for personalized medical education”

Data Science

Medicine

Education

User can edit before searching

🎯 Select QS Subjects manually

For users who already know the target QS areas.

QS Subjects dropdown

Accounting & Finance

Economics

Statistics

Find Journals

Both routes feed the same deterministic recommender.

research-source-suggest-vuni.streamlit.app

Research Source Suggest

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Ranking logic: simple, transparent, and QS-focused

For each eligible journal, the system first ensures it matches at least one selected QS Subject.

Eligibility

A journal must match at least one selected QS Subject.

selected QS subject ✓

active journal source

source metadata exists

Priority order

1

Q1 first

publication-quality signal

2

More QS Broad Faculty Areas

5 → 4 → 3 → 2 → 1

3

Higher H-index

journal impact history signal

4

More selected QS Subjects matched

keeps topical relevance

5

More total QS Subjects

broader classification coverage

6

Higher SJR

additional tie-breaker

Single-subject example: Data Science → Q1 journals with 5/5 QS faculties rank before Q1 journals with fewer faculties.

research-source-suggest-vuni.streamlit.app

Research Source Suggest

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Recommendation evidence, not a black box

Each card explains the mapping and provides external verification links.

Example Journal Card

Q1

1/1 selected QS Subject matched

3/5 QS Broad Faculty Areas · H-index: 58

All QS Subjects

Accounting & Finance

Economics & Econometrics

Statistics

Mathematics

QS Broad Faculty Areas

Social Sciences & Management

Natural Sciences

Engineering & Technology

SJR: 1.046 · Publisher: Springer

SCImago ↗

Scopus ↗

Quality first

Q1 is visible at the top of each card.

QS breadth

Users can see every QS subject and broad faculty area.

Audit trail

External links let users verify data in SCImago and Scopus.

research-source-suggest-vuni.streamlit.app

Research Source Suggest

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How to demonstrate it in 90 seconds

Use one research example from start to finish.

1

Paste topic

Machine learning for cardiovascular disease prediction

2

Confirm QS subjects

Data Science · Medicine · Computer Science

3

Find journals

Q1 journals ranked by QS faculty breadth and H-index

4

Open evidence

All QS mappings + SCImago + Scopus links

Recommended voice-over

“The app does not ask AI to invent journals. It maps the topic to QS subjects, then ranks real journal records from our source database.”

Fallback message

If AI is unavailable, users can still select QS subjects manually and get the same recommendations.

Live app: research-source-suggest-vuni.streamlit.app/Find_Journals

research-source-suggest-vuni.streamlit.app

Research Source Suggest