Angelo Lorusso
Impact in
- Conservation top 2%
- Conservation Techniques and Studies
- Space and Planetary Science top 10%
- Archaeological Research and Protection
Papers in
-
- Context-Aware Activity Recognition Systems 4
- Currency Recognition and Detection 3
- Image Retrieval and Classification Techniques 2
- Geology 13
- 3D Surveying and Cultural Heritage 13
- Co-authors
- Domenico Santaniello (30 shared papers)Mario Casillo (17 shared papers)Francesco Colace (20 shared papers)Carmine Valentino (17 shared papers)Brij B. Gupta (5 shared papers)Marco Lombardi (8 shared papers)Marco De Simone (1 shared paper)Fabio Clarizia (1 shared paper)
- Journals
- IEEE Access (2 papers)Journal of Cultural Heritage (1 paper)Journal of Reliable Intelligent Environments (1 paper)Electronics (1 paper)Computers & Electrical Engineering (1 paper)
- Partner nations
- ItalyTaiwanUnited Kingdom
In The Last Decade
Angelo Lorusso
27 papers receiving 159 citations
Peers
Comparison fields: 5 of 60
- Conservation 42
- Space and Planetary Science 15
- Geology 58
- Computer Vision and Pattern Recognition 38
- Information Systems 35
Countries citing papers authored by Angelo Lorusso
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
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 17 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.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 23 | |
| 2 | 2022 | 23 | |
| 3 | 2024 | 19 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2024 | 13 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2025 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
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 36 papers that have together received 169 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), Currency Recognition and Detection (3 papers), Archaeological Research and Protection (3 papers), BIM and Construction Integration (3 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Conservation (42 citations), Space and Planetary Science (15 citations), Geology (58 citations), Computer Vision and Pattern Recognition (38 citations) and Information Systems (35 citations). Angelo Lorusso has collaborated with scholars based in Italy, Taiwan and United Kingdom. Frequent co-authors include Domenico Santaniello, Mario Casillo, Francesco Colace, Carmine Valentino, Brij B. Gupta, Marco Lombardi, Marco De Simone, Fabio Clarizia, Michele Pellegrino and Allan Tucker. Their work appears in journals such as IEEE Access, Journal of Cultural Heritage, Journal of Reliable Intelligent Environments, Electronics and Computers & Electrical Engineering.
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.