Luca Di Angelo

107 total papers · 1.3k total citations
74 papers, 856 citations indexed

About

Luca Di Angelo is a scholar working on Computer Vision and Pattern Recognition, Geology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Luca Di Angelo has authored 74 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 21 papers in Geology and 20 papers in Industrial and Manufacturing Engineering. Recurrent topics in Luca Di Angelo's work include 3D Surveying and Cultural Heritage (21 papers), Manufacturing Process and Optimization (20 papers) and Image Processing and 3D Reconstruction (15 papers). Luca Di Angelo is often cited by papers focused on 3D Surveying and Cultural Heritage (21 papers), Manufacturing Process and Optimization (20 papers) and Image Processing and 3D Reconstruction (15 papers). Luca Di Angelo collaborates with scholars based in Italy, Iran and United States. Luca Di Angelo's co-authors include Paolo Di Stefano, Anna Eva Morabito, Francesco Bianconi, Cristina Renzi, Francesco Leali, Angelo De Vita, Luciano Fratocchi, Esmaile Khorram, Paolo Conti and Luigi Allocca and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Luca Di Angelo

67 papers receiving 826 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Luca Di Angelo 281 269 237 232 226 74 856
Paolo Di Stefano 290 1.0× 271 1.0× 235 1.0× 224 1.0× 228 1.0× 63 761
Salvatore Gerbino 453 1.6× 250 0.9× 87 0.4× 244 1.1× 62 0.3× 70 970
Jouke Verlinden 210 0.7× 312 1.2× 57 0.2× 257 1.1× 208 0.9× 71 877
Loris Barbieri 119 0.4× 46 0.2× 202 0.9× 89 0.4× 339 1.5× 47 915
Alex Attridge 86 0.3× 56 0.2× 54 0.2× 166 0.7× 157 0.7× 38 752
Jordan J. Cox 305 1.1× 79 0.3× 243 1.0× 288 1.2× 281 1.2× 26 1.1k
Alessandro Paoli 77 0.3× 157 0.6× 155 0.7× 192 0.8× 366 1.6× 57 958
Jiing‐Yih Lai 189 0.7× 65 0.2× 47 0.2× 322 1.4× 197 0.9× 90 906
Satoshi Kanai 214 0.8× 54 0.2× 323 1.4× 133 0.6× 220 1.0× 121 997
Monica Carfagni 182 0.6× 131 0.5× 124 0.5× 199 0.9× 211 0.9× 97 1.0k

Countries citing papers authored by Luca Di Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Luca Di Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Di Angelo

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Di Angelo. A scholar is included among the top collaborators of Luca Di Angelo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luca Di Angelo. Luca Di Angelo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026