Angelo Lorusso

761 citations
37 papers · 194 · h-index 8

Impact in

    • Conservation Techniques and Studies
  • Geology top 10%
    • 3D Surveying and Cultural Heritage

Papers in

Angelo Lorusso

30 papers receiving 182 citations

Peers

Angelo Lorusso
Comparison fields: 5 of 62
  • Conservation 40
  • Geology 64
  • Space and Planetary Science 14
  • Computer Vision and Pattern Recognition 38
  • Information Systems 35
Replace Abdelhak Belhi with:
Abdelhak Belhi Qatar
Carmine Valentino Italy
Dmitriy Bespalov United States
Mario Döller Germany
Raghudeep Gadde Germany
Bénédicte Bucher France
Yong Liang China
Angelo Lorusso relative to Abdelhak Belhi Qatar Abdelhak Belhi's profile →
Citations per field
00.5×3.2×
Abdelhak Belhi · 1×
Citations per year

Countries citing papers authored by Angelo Lorusso

Since Specialization
Citations

This map shows the geographic impact of Angelo Lorusso'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 Angelo Lorusso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Lorusso more than expected).

Fields of papers citing papers by Angelo Lorusso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo Lorusso. 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 Angelo Lorusso. The network helps show where Angelo Lorusso may publish in the future.

Co-authors

The 18 scholars most cited alongside Angelo Lorusso, 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 Angelo Lorusso Line = papers co-authored together Angelo Lorusso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
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4 202118
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8 20229
9 20257
10 20226
11 20255
12 20244
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14 20234
15 20243
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17 20213
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About Angelo Lorusso

Angelo Lorusso is a scholar working on Computer Vision and Pattern Recognition, Geology, Conservation, Computer Networks and Communications and Information Systems, having authored 37 papers that have together received 194 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (13 papers), Conservation Techniques and Studies (9 papers), IoT and Edge/Fog Computing (5 papers), Context-Aware Activity Recognition Systems (4 papers), Archaeological Research and Protection (3 papers), BIM and Construction Integration (3 papers), Currency Recognition and Detection (3 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Conservation (40 citations), Geology (64 citations), Space and Planetary Science (14 citations), Computer Vision and Pattern Recognition (38 citations) and Information Systems (35 citations). Angelo Lorusso has collaborated with scholars based in Italy, Taiwan and India. Frequent co-authors include Domenico Santaniello, Francesco Colace, Mario Casillo, Carmine Valentino, Brij B. Gupta, Marco Lombardi, Marco De Simone, Dajana Conte, Massimo De Santo and Allan Tucker. Their work appears in journals such as IEEE Access, Sustainability, Electronics, Evolutionary Intelligence and Journal of Cultural Heritage.

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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