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Roberto Pierdicca

ResearcherPublications, citations & collaboration network

Roberto Pierdicca is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 239 works, 4,752 citations, an h-index of 31 and an i10-index of 81.

239
Works
4,752
Citations
31
h-index
81
i10-index

How has Roberto Pierdicca's publication output changed over time?

ScholarIQpublication output · 2017–2021

Output grew200% over the shown period — from 1 works in 2017 to 3 in 2021.

1
2
1
4
3
20172018201920202021

What are the most-cited papers on Roberto Pierdicca?

ScholarIQmost cited works
A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage
Mafkereseb Kassahun Bekele, Roberto Pierdicca, Emanuele Frontoni, Eva Savina Malinverni, James Gain
Journal on Computing and Cultural Heritage. 20181,030 Citations
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
Roberto Pierdicca, Marina Paolanti, Francesca Matrone, Massimo Martini, Christian Morbidoni, Eva Savina Malinverni, Emanuele Frontoni, Andrea Maria Lingua
S43295729. 2020282 CitationsOPEN ACCESS
DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
Roberto Pierdicca, Eva Savina Malinverni, F. Piccinini, Marina Paolanti, Andrea Felicetti, Primo Zingaretti
S2737215817. 2018168 CitationsOPEN ACCESS
Mobile 3D scan LiDAR: a literature review
Francesco Di Stefano, Stefano Chiappini, Alban Gorreja, Mattia Balestra, Roberto Pierdicca
S83752769. 2021166 CitationsOPEN ACCESS
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
Francesca Matrone, Eleonora Grilli, Massimo Martini, Marina Paolanti, Roberto Pierdicca, Fabio Remondino
S2764431341. 2020163 CitationsOPEN ACCESS

Related on ScholarIQ

Marche Polytechnic University
Institution
A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage
Paper
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
Paper
DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
Paper
Mobile 3D scan LiDAR: a literature review
Paper
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
Paper
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