Franco Persiani

37 papers receiving 740 citations

Peers

Franco Persiani
Comparison fields: 5 of 108
  • Human-Computer Interaction 74
  • Oral Surgery 67
  • Computer Vision and Pattern Recognition 153
  • Geology 41
  • Orthodontics 27
Replace Francesca Uccheddu with:
Francesca Uccheddu Italy
Xingce Wang China
Ulrich Schwanecke Germany
Luca Di Angelo Italy
Alessandro Paoli Italy
Paolo Di Stefano Italy
Alex Attridge United Kingdom
Changjian Li China
Xiaosheng Cheng China
Ingela Nyström Sweden
Franco Persiani relative to Francesca Uccheddu Italy Francesca Uccheddu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Franco Persiani

Since Specialization
Citations

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

Fields of papers citing papers by Franco Persiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Franco Persiani, 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 Franco Persiani Line = papers co-authored together Franco Persiani 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
1 2010144
2 2012118
3 201289
4 200857
5 201040
6 200938
7 200837
8 201033
9 201125
10 200923
11 198020
12 200919
13 199318
14 201217
15
A UAV System for Observing Volcanoes and Natural Hazards
200714
16 20108
17 20158
18 19948
19 20047
20
Generative design: Advanced design optimization processes for aeronautical applications
20167

About Franco Persiani

Franco Persiani is a scholar working on Aerospace Engineering, Surgery, Social Psychology, Computer Vision and Pattern Recognition and Archeology, having authored 37 papers that have together received 771 indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (5 papers), Air Traffic Management and Optimization (4 papers), Robotic Path Planning Algorithms (4 papers), Human-Automation Interaction and Safety (4 papers), Reconstructive Facial Surgery Techniques (4 papers), Anatomy and Medical Technology (3 papers), Facial Trauma and Fracture Management (3 papers) and Paleopathology and ancient diseases (2 papers). The work is most often cited by research in Human-Computer Interaction (74 citations), Oral Surgery (67 citations), Computer Vision and Pattern Recognition (153 citations), Geology (41 citations) and Orthodontics (27 citations). Franco Persiani has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Massimiliano Fantini, Francesca De Crescenzio, Leonardo Ciocca, Roberto Scotti, Simona Mazzoni, Claudio Marchetti, Luigi Di Stefano, Pietro Azzari, Samuele Salti and Stefano Benazzi. Their work appears in journals such as International Journal on Interactive Design and Manufacturing (IJIDeM), Rapid Prototyping Journal, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Archaeological Science and ESMO Open.

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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