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This paper aims to improve literature review processes by providing guidelines for effective database query formulation.

June 3, 2026PublicationsOpen Access

Literature Search Query in Academic Databases: Artificial Intelligence Think Tank Guideline for Literature Reviews

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This paper aims to improve literature review processes by providing guidelines for effective database query formulation.
Developed guidelines for creating professional topic queries in academic databases.
Utilized the Artificial Intelligence Think Tank framework for structured interactions with AI systems.
Focused on search design issues in bibliometric research.
Enhancements in search strategy reporting and motivation were identified.
The guidelines significantly reduce time and errors in query formulation and literature reviews.
Improved efficacy of bibliometric studies and systematic reviews was observed.

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Guidelines develop effective search strategies for literature reviews, enhancing bibliometric research through AI tools.

Shahryar Sorooshian (2026) studied this question.

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