Santi Caballé, Edul@b researcher, recognized among the top 2% most-cited scientists in the world in the Stanford ranking

His inclusion falls within the category that assesses the cumulative impact of scientific output over an entire career, standing out specifically in the fields of artificial intelligence and image processing, education, and information and communication technologies. With a career spanning over two decades focused on learning engineering, educational data analytics, online learning, and the application of artificial intelligence to teaching, the researcher himself has noted that this recognition reflects a shared endeavour and collaborative work with numerous peers across the profession.

Latest Most-Cited Publications by Santi Caballé

Here are some of his most recent works (published in recent years) with the highest number of citations:

• Exploring the utilization and deficiencies of generative artificial intelligence in students’ cognitive and emotional needs: a systematic mini-review (2024) – Frontiers in Artificial Intelligence. Co-authors: E. Ortega-Ochoa, J. M. Sabaté, M. Arguedas, J. Conesa, T. Daradoumis, and S. Caballé.
• Attention-based hierarchical recurrent neural networks for MOOC forum posts analysis (2021) – Journal of Ambient Intelligence and Humanized Computing. Co-authors: N. Capuano, S. Caballé, J. Conesa, and A. Greco.
• Adaptive learning technologies (2020) – AI Magazine. Co-authors: N. Capuano and S. Caballé.
• A model for providing emotion awareness and feedback using fuzzy logic in online learning (2018) – Soft Computing. Co-authors: M. Arguedas, F. Xhafa, L. Casillas, T. Daradoumis, A. Peña, and S. Caballé.