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June 3, 2026PublicationsOpen Access

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

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Authors

SSShahryar Sorooshian

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Overview

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

Key Points

  • 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.

Cite This Study

Shahryar Sorooshian (2026) studied this question.

synapsesocial.com/papers/6a1fc42cdee9eb8c0dce5ce6https://doi.org/10.3390/publications14020036
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