Ciao!

IPA: /ˈaŋd͡ʒelo sɑləˈtinoʊ/

I am a Research Fellow and Associate Lecturer at the Knowledge Media Institute (KMi) of The Open University (RoR), working on novel AI solutions to analyse scholarly data, contributing to the field of Metascience. I created several systems used by publishers and research organisations, including the Computer Science Ontology (CSO), currently the largest taxonomy of research topics in Computer Science; the CSO Classifier, which annotates research documents; and Augur, a tool for detecting emerging research topics. My collaborations extend to several international institutions, including the University of Cagliari (IT), Stanford University (US), the University of Hannover (DE), and Springer Nature, with whom I am actively working to improve the classification and management of their research content. My current research investigates the potential of Large Language Models in supporting the analysis of scientific knowledge. Specifically, I am exploring how these models can be augmented with domain knowledge to facilitate a deeper understanding of scientific content and provide enhanced support to researchers and practitioners in their daily activities. Within the broader context of metascience, my interests lie in AI Policies, Forensic Scientometrics, Research Culture, and Research Impact. To know more about my work you can read my recent blog posts, see my recent publications, or read my full CV. Continue reading.

"I very rarely think in words at all. A thought comes, and I may try to express it in words afterwards."

— Albert Einstein

Highlights

New release: CSO Classifier 4.0.0

The CSO Classifier empowers researchers, developers, and institutions by automatically categorising scholarly articles according to the Computer Science Ontology. Today, we announce the official release of CSO Classifier version 4.0.0!

Does Diversity of Expertise Drive Citation Impact? Evidence from Computer Science

This study investigates the relationship between the authors’ diversity of expertise and the number of citations their paper receives within the first five years.

Knowledge Graphs in the Era of Large Language Models (KGELL)

On 23rd October 2025, we kicked off the KGELL COST Action (CA24121, Knowledge Graphs in the Era of Large Language Models) and it will run for 4 year (till 22 Oct 2029).

My Peer Review Commitment

My annual commitment is to maintain a high volume of reviews, targeting a ratio of approximately two-to-three reviews for every one of my own submissions. However, as the number of solicitations I receive far exceeds this ratio, I have established specific constraints to manage my priorities.

Interview at SEMANTiCS 2025

As Event Coordinator, and future General Chair of SEMANTiCS, in Vienna I was interviewed to share my perspective on how metascience, semantic technologies, and Large Language Models (LLMs) are fundamentally changing the way we conduct and interpret scientific research.

Tracking Stars and Unicorns

Research project funded by the UKRI Metascience unit, with an award of £310,646, to look at successful and unsuccessful proposals within all UKRI councils to track research trends, assess UK competitiveness against global competitors, and understand appropriate funding mechanisms to better support the development of Early Career Researchers.

Dagstuhl Seminar: Open Scholarly Information Systems

I have just returned from a highly influential Dagstuhl Seminar (25381) focused on the status quo, opportunities, and challenges of Open Scholarly Information Systems.