Bibliometrics

How science gets by with a little help from the Beatles: Detecting cultural wordplay in scientific literature using large language models

Gabriel Budel, Robert E. Kooij, Michiel Tjepkema

AI-assisted forecasting in microsurgery: A dual-component framework for global publication trends

Georgios Bouloukakis, Georgios Karamitros, [ ... ], William C. Lineaweaver

Bridging the gaps in innovation research: A bibliometric analysis and multi-level framework integrating meso-perspectives and well-being

Yousif Elsamani, Cristian Mejia, Yuya Kajikawa

Mapping and appraising evidence syntheses of resuscitation training for healthcare professionals: Protocol for a systematic review of reviews

Defi Efendi, Chiyar Edison Sunarya, [ ... ], on behalf of the LIFESAVER (Leading Innovations for Emergency Support and Vital Enhancements in Resuscitation) Study Network

Negotiating knowledge: The role of network hedging in the production of high-impact science

Adrián A. Díaz-Faes, Pablo D’Este, Anne L. J. Ter Wal

Beggar thy neighbour or befriend thy neighbour? Asymmetric spillovers of China’s double world-class policy

Jianqin Hang, Xing Ma

Iran’s great scientific divergence: The Middle-Income trap and the Political Economy of Science Policy

Ehsan Roohi

Benefits and harms of copyright restrictions and conditions on burnout and other psychometric assessment scales

Robert G. Badgett, Sudha Xirasagar, Hayrettin Okut

Data-driven differentiation analysis of urban high-tech industries: Research on bibliometrics and large language models

Hua Song, Jun Zeng, [ ... ], Hongyu Wang

The field factor: Industry publishing contribution and novelty in science

Anubha Shokhand, Nilam Kaushik, Satyam Mukherjee

Gender disparities in Italian academic medicine: A cross-sectional study of clinicians in the 2024 stanford top 2% scientists database

Alessandro De Cassai, Annalisa Boscolo, [ ... ], Paolo Navalesi

An empirical exploration of the diversified R ecosystem

Tian-Yuan Huang, Zhilan Lou

Identifying researcher characteristics driving growth in Japanese University-originated deep-tech startups: A machine learning approach

Yoshifumi Mizuhara, Tetsusei Kurashiki

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