SCOPUS AI · RESEARCH DISCOVERY

Scopus AI Prompts for Research Discovery

Use 48 focused natural-language questions across 12 categories to explore literature, assess evidence, identify defensible gaps and position your article within current research.

FOCUSED ACADEMIC DISCOVERY

Ask a precise question—discover a stronger direction.

Use Scopus AI to search and synthesise indexed academic abstracts, understand a research landscape and locate sources worth examining. Start with one concise question, then follow the evidence into gaps, trends, methods, theories and article positioning.

Explore all 48 Scopus AI prompts
Malaysian postgraduate researchers discovering peer-reviewed literature and tracing citations

WRITE A BETTER SCOPUS AI QUESTION

Be specific, concise and evidence-focused

Scopus AI works best with a direct natural-language question about one research objective. Complex role instructions and Boolean search strings are unnecessary.

01

Topic

Name the phenomenon, technology, problem or relationship you want to investigate.

02

Objective

Specify whether you need gaps, trends, comparisons, frameworks, impacts or consensus.

03

Context

Add a population, industry, geography, method or time boundary only when relevant.

TOPIC + OBJECTIVE + CONTEXT

Universal question pattern

What are the [RESEARCH OBJECTIVE] regarding [TOPIC] in [CONTEXT OR POPULATION] over [OPTIONAL TIME BOUNDARY]?

Example: What are the emerging applications of explainable artificial intelligence for medical image diagnosis over the last five years?

GOLDEN RULES

Questions that produce more useful discovery

Ask naturally

Write a clear English question. Avoid Boolean operators, quotation marks and long keyword strings.

Keep one focus

Avoid broad topics. Name the specific issue, relationship, method, context or population.

Go deeper

Use suggested follow-up questions to refine the search, compare evidence and explore related concepts.

Verify the evidence: Scopus AI supports literature discovery, not final scholarly judgement. Open the original publications and evaluate their design, sample, context, limitations and full-text findings before using or citing a claim.

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