activity
20122025
most cited(Semi)automated disambiguation of scholarly repositories

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DL2025

From raw affiliations to organization identifiers

Myrto Kallipoliti, Serafeim Chatzopoulos, Miriam Baglioni +3

Accurate affiliation matching, which links affiliation strings to standardized organization identifiers, is critical for improving research metadata quality, facilitating comprehen…

cs.DL2024

Exploring Scientometrics with the OpenAIRE Graph: Introducing the OpenAIRE Beginner's Kit

Andrea Mannocci, Miriam Baglioni

The OpenAIRE Graph is an extensive resource housing diverse information on research products, including literature, datasets, and software, alongside research projects and other sc…

cs.DL2023★ 3 cited

(Semi)automated disambiguation of scholarly repositories

Miriam Baglioni, Andrea Mannocci, Gina Pavone +2

The full exploitation of scholarly repositories is pivotal in modern Open Science, and scholarly repository registries are kingpins in enabling researchers and research infrastruct…

cs.DL2022

"Knock knock! Who's there?" A study on scholarly repositories' availability

Andrea Mannocci, Miriam Baglioni, Paolo Manghi

Scholarly repositories are the cornerstone of modern open science, and their availability is vital for enacting its practices. To this end, scholarly registries such as FAIRsharing…

cs.DL2021

Scholarly outputs of EU Research Funding Programs: Understanding differences between datasets of publications reported by grant holders and OpenAIRE Research Graph in H2020

Alexis-Michel Mugabushaka, Miriam Baglioni, Alessia Bardi +1

Linking research results to grants is an essential prerequisite for an effective monitoring and evaluation of funding programs. For the EU research funding programs, there are mult…

cs.SI2012

Detecting dense communities in large social and information networks with the Core & Peel algorithm

Marco Pellegrini, Filippo Geraci, Miriam Baglioni

Detecting and characterizing dense subgraphs (tight communities) in social and information networks is an important exploratory tool in social network analysis. Several approaches…