UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Volume 13 Issue 2
February-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRHJ06041


Registration ID:
575657

Page Number

212-222

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Title

AI TOOLS FOR LITERATURE REVIEW AND KNOWLEDGE MAPPING: EMPOWERING RESEARCH EXCELLENCE IN ACADEMIC WRITING AND PUBLISHING

Abstract

The explosive expansion of scholarly publications has made traditional literature review methods increasingly unmanageable. Researchers now face information overload, fragmented knowledge sources, and difficulty in identifying research gaps. In response, artificial intelligence (AI) tools have emerged to assist in literature discovery, automatic summarization, and visualization of scholarly content. This paper examines how AI-driven technologies can strengthen research quality by making literature review and knowledge mapping more efficient and thorough. We conducted a qualitative review of academic and industry sources (e.g. library science, computer science, educational research) to identify prominent AI applications, tools, benefits, and concerns. Our analysis finds that AI can greatly accelerate literature search and analysis, broaden coverage across disciplines, and generate visual knowledge maps that reveal key themes and connections (Chen, 2017). These capabilities enable more evidence-based and inclusive writing processes. However, important challenges arise: algorithmic bias, opaque decision-making, and over-reliance on automation can undermine integrity. Ethical considerations such as data privacy and clear attribution also demand careful attention. We conclude that with proper oversight and training, AI tools can serve as valuable allies for researchers, enhancing efficiency and insight while maintaining scholarly rigor.

Key Words

Artificial Intelligence (AI), Literature Review, Knowledge Mapping, Academic Writing, Scholarly Publishing, Natural Language Processing (NLP), Machine Learning, Bibliometric Analysis, Systematic Review, Research Discovery Tools, AI Ethics, Academic Integrity, Research Trends, Information Science, Digital Scholarship

Cite This Article

"AI TOOLS FOR LITERATURE REVIEW AND KNOWLEDGE MAPPING: EMPOWERING RESEARCH EXCELLENCE IN ACADEMIC WRITING AND PUBLISHING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.212-222, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06041.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI TOOLS FOR LITERATURE REVIEW AND KNOWLEDGE MAPPING: EMPOWERING RESEARCH EXCELLENCE IN ACADEMIC WRITING AND PUBLISHING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp212-222, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06041.pdf

Publication Details

Published Paper ID: JETIRHJ06041
Registration ID: 575657
Published In: Volume 13 | Issue 2 | Year February-2026
DOI (Digital Object Identifier):
Page No: 212-222
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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