Breadth First Search on APEnet+. - Massimo Bernaschi; Mauro Bisson; Enrico Mastrostefano; Davide Rossetti (SC Companion, 2012)

GPU Peer-to-Peer Techniques Applied to a Cluster Interconnect. - Roberto Ammendola; Massimo Bernaschi; Andrea Biagioni; Mauro Bisson; Massimiliano Fatica; Ottorino Frezza; Francesca Lo Cicero; Alessandro Lonardo; Enrico Mastrostefano; Pier Stanislao Paolucci; Davide Rossetti; Francesco Simula; et al. (IPDPS Workshops, 2013)

Efficient breadth first search on multi-GPU systems. - Enrico Mastrostefano; Massimo Bernaschi (J. Parallel Distributed Comput., 2013)

Enhanced GPU-based distributed breadth first search. - Massimo Bernaschi; Giancarlo Carbone; Enrico Mastrostefano; Mauro Bisson; Massimiliano Fatica (Conf. Computing Frontiers, 2015)

Solutions to the st-connectivity problem using a GPU-based distributed BFS. - Massimo Bernaschi; Giancarlo Carbone; Enrico Mastrostefano; Flavio Vella (J. Parallel Distributed Comput., 2015)

Parallel Distributed Breadth First Search on the Kepler Architecture. - Mauro Bisson; Massimo Bernaschi; Enrico Mastrostefano (IEEE Trans. Parallel Distributed Syst., 2016)

Unsupervised Classification of Routes and Plates from the Trap-2017 Dataset. - Massimo Bernaschi; Alessandro Celestini; Stefano Guarino; Flavio Lombardi; Enrico Mastrostefano (TRAP, 2017)

Traffic Data: Exploratory Data Analysis with Apache Accumulo. - Massimo Bernaschi; Alessandro Celestini; Stefano Guarino; Flavio Lombardi; Enrico Mastrostefano (TRAP, 2017)

Traffic Data Classification for Police Activity. - Stefano Guarino; Fabio Leuzzi; Flavio Lombardi; Enrico Mastrostefano (ISMIS, 2018)

Multilevel Parallelism for the Exploration of Large-Scale Graphs. - Massimo Bernaschi; Mauro Bisson; Enrico Mastrostefano; Flavio Vella (IEEE Trans. Multi Scale Comput. Syst., 2018)

Critical nodes reveal peculiar features of human essential genes and protein interactome. - Alessandro Celestini; Marco Cianfriglia; Enrico Mastrostefano; Alessandro Palma; Filippo Castiglione; Paolo Tieri (BIBM, 2019)

Analysing the tor web with high performance graph algorithms. - Massimo Bernaschi; Alessandro Celestini; Stefano Guarino; Flavio Lombardi; Enrico Mastrostefano (CF, 2019)

Spiders like Onions: on the Network of Tor Hidden Services. - Massimo Bernaschi; Alessandro Celestini; Stefano Guarino; Flavio Lombardi; Enrico Mastrostefano (WWW, 2019)

Data-Driven Simulation of Contagions in Public Venues. - Stefano Guarino; Davide Torre; Massimo Bernaschi; Alessandro Celestini; Marco Cianfriglia; Enrico Mastrostefano; Lena Rebecca Zastrow (ANNSIM, 2021)

A data-driven model for the generation of Virtual Cohorts. - Enrico Mastrostefano; Paola Stolfi; Filippo Castiglione (BIBM, 2021)

Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing. - Alessandro Celestini; Francesca Colaiori; Stefano Guarino; Enrico Mastrostefano; Lena Rebecca Zastrow (COMPLEX NETWORKS, 2021)

A Model for Urban Social Networks. - Stefano Guarino; Enrico Mastrostefano; Alessandro Celestini; Massimo Bernaschi; Marco Cianfriglia; Davide Torre; Lena Rebecca Zastrow (ICCS (3), 2021)

Onion under Microscope: An in-depth analysis of the Tor network. - Massimo Bernaschi; Alessandro Celestini; Marco Cianfriglia; Stefano Guarino; Flavio Lombardi; Enrico Mastrostefano (CoRR, 2021)

Inferring Urban Social Networks from Publicly Available Data. - Stefano Guarino; Enrico Mastrostefano; Massimo Bernaschi; Alessandro Celestini; Marco Cianfriglia; Davide Torre; Lena Rebecca Zastrow (Future Internet, 2021)

The Hyperbolic Geometric Block Model and Networks with Latent and Explicit Geometries. - Stefano Guarino; Enrico Mastrostefano; Davide Torre (COMPLEX NETWORKS (2), 2022)

Epidemic risk assessment from geographic population density. - Alessandro Celestini; Francesca Colaiori; Stefano Guarino; Enrico Mastrostefano; Lena Rebecca Zastrow (Appl. Netw. Sci., 2022)

The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks. - Massimo Bernaschi; Alessandro Celestini; Stefano Guarino; Enrico Mastrostefano; Fabio Saracco (CoRR, 2022)

Onion under Microscope: An in-depth analysis of the Tor Web. - Massimo Bernaschi; Alessandro Celestini; Marco Cianfriglia; Stefano Guarino; Flavio Lombardi; Enrico Mastrostefano (World Wide Web, 2022)

Harnessing computational models to uncover the role of the immune system in tuberculosis treatment. - Enrico Mastrostefano; Alessandro Ravoni; Elia Onofri; Paolo Tieri; Filippo Castiglione (BIBM, 2023)

The Hidden-Degree Geometric Block Model. - Stefano Guarino; Enrico Mastrostefano; Davide Torre (COMPLEX NETWORKS (3), 2023)

Seeking Critical Nodes in Digraphs. - Massimo Bernaschi; Alessandro Celestini; Marco Cianfriglia; Stefano Guarino; Giuseppe F. Italiano; Enrico Mastrostefano; Lena Rebecca Zastrow (Zenodo, 2023)

Seeking critical nodes in digraphs. - Massimo Bernaschi; Alessandro Celestini; Marco Cianfriglia; Stefano Guarino; Giuseppe F. Italiano; Enrico Mastrostefano; Lena Rebecca Zastrow (J. Comput. Sci., 2023)

Scaling Expected Force: Efficient Identification of Key Nodes in Network-Based Epidemic Models. - Paolo Sylos Labini; Andrej Jurco; Matteo Ceccarello; Stefano Guarino; Enrico Mastrostefano; Flavio Vella (PDP, 2024)

Mimicking cancer therapy in an agent-based model: The case of hepatoblastoma. - Alessandro Ravoni; Enrico Mastrostefano; Roland Kappler; Carolina Armengol; Filippo Castiglione; Christine Nardini (Comput. Methods Programs Biomed., 2025)

Random Hyperbolic Graphs with Arbitrary Mesoscale Structures. - Stefano Guarino; Davide Torre; Enrico Mastrostefano (CoRR, 2025)