Authenticity and the Role of AI in Research Publications and Citation Metrics: A Critical Examination (2025)
The growing influence of artificial intelligence (AI) in academia is transforming how research is written, reviewed, and measured. From AI-driven manuscript drafting to automated citation analysis, technology is no longer just a support tool—it is becoming a silent co-author. While these developments promise speed and accessibility, they also raise critical concerns about the authenticity of scholarship and the reliability of citation-based metrics. Are we measuring the true intellectual contributions of researchers, or are we amplifying algorithmic efficiencies at the cost of originality and rigor? This blog explores the ethical, professional, and systemic implications of AI in research publishing, questioning how academic communities can preserve trust and credibility in an era of increasing automation.
