Roberto Pierdicca

124 papers receiving 2.7k citations

Roberto Pierdicca's Hit Papers

Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage 2020 · 192 citations
1920+2+5Years since publication100200300400500

Peers

Roberto Pierdicca
Comparison fields: 5 of 136
  • Space and Planetary Science 354
  • Geology 1.3k
  • Conservation 310
  • Human-Computer Interaction 388
  • Environmental Engineering 687
Replace Eva Savina Malinverni with:
Eva Savina Malinverni Italy
Fabio Bruno Italy
George Pavlidis Greece
Maurizio Muzzupappa Italy
Marina Paolanti Italy
Raffaella Brumana Italy
Jaime Gómez‐García‐Bermejo Spain
Eduardo Zalama Spain
James Gain South Africa
Loris Barbieri Italy
Roberto Pierdicca relative to Eva Savina Malinverni Italy Eva Savina Malinverni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Roberto Pierdicca

Since Specialization
Citations

This map shows the geographic impact of Roberto Pierdicca's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Pierdicca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Pierdicca more than expected).

Fields of papers citing papers by Roberto Pierdicca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Pierdicca. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Pierdicca. The network helps show where Roberto Pierdicca may publish in the future.

Co-authors

The 25 scholars most cited alongside Roberto Pierdicca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Pierdicca Line = papers co-authored together Roberto Pierdicca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey of Augmented, Virtual, and Mixed Reality for Cultural Heritage
Hit paper breakdown →
2018583
2
Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage
Hit paper breakdown →
2020192
3 2018130
4 2020112
5 2017112
6 2021105
7 2020103
8 202087
9 202161
10 201954
11 201954
12 202154
13 201649
14 201646
15 202046
16 202144
17 202343
18 202135
19 202132
20 201732

About Roberto Pierdicca

Roberto Pierdicca is a scholar working on Geology, Computer Vision and Pattern Recognition, Environmental Engineering, Space and Planetary Science and Conservation, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (67 papers), Remote Sensing and LiDAR Applications (41 papers), Archaeological Research and Protection (26 papers), Augmented Reality Applications (14 papers), Conservation Techniques and Studies (11 papers), Remote Sensing in Agriculture (9 papers), Virtual Reality Applications and Impacts (9 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Space and Planetary Science (354 citations), Geology (1.3k citations), Conservation (310 citations), Human-Computer Interaction (388 citations) and Environmental Engineering (687 citations). Roberto Pierdicca has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Eva Savina Malinverni, Emanuele Frontoni, Marina Paolanti, James Gain, Mafkereseb Kassahun Bekele, Christian Morbidoni, Ramona Quattrini, Primo Zingaretti, Francesca Matrone and Andrea Felicetti. Their work appears in journals such as ISPRS International Journal of Geo-Information, Remote Sensing, Digital Applications in Archaeology and Cultural Heritage, Journal on Computing and Cultural Heritage and Virtual Archaeology Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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