Scientometrics - Information Matters

Imagine a bustling city where a few towering skyscrapers dominate the skyline, while the surrounding neighborhoods—though full of life and potential—remain in the shadows, overlooked. This metaphor captures a troubling trend in modern science: a small group of prominent researchers increasingly dominate scholarly attention, while the majority of scientists—early-career scholars, specialists in niche fields, or those from underrepresented regions—struggle to be heard. A recent study, analyzing millions of academic publications and citations, reveals how this “attention inequality” is reshaping the scientific landscape, with profound implications for innovation, diversity, and the future of knowledge itself.

Featured InfoFire

March 10, 2025 Shalini Urs

LLMs, AI, and the Future of Research Evaluation: A Conversation with Mike Thelwall on Informetrics and Research Impact

In this episode of InfoFire, I sit down with Professor Mike Thelwall, a well accomplished scholar of Informetrics, to explore the intersections of Large Language Models (LLMs) and research evaluation. We delve into how LLMs are reshaping the landscape of research assessment, examining the promises they hold and the challenges they present in ensuring fair, meaningful, and context-aware evaluations.