Gianluca Percoco

2.5k citations
79 papers · 1.8k · h-index 22

Impact in

Papers in

    • Advanced Sensor and Energy Harvesting Materials 19
    • Soft Robotics and Applications 11
    • 3D Printing in Biomedical Research 7
    • Additive Manufacturing and 3D Printing Technologies 35

Gianluca Percoco

75 papers receiving 1.8k citations

Peers

Gianluca Percoco
Comparison fields: 5 of 123
  • Automotive Engineering 979
  • Industrial and Manufacturing Engineering 430
  • Geology 137
  • Biomedical Engineering 768
  • Mechanical Engineering 632
Replace Ning Dai with:
Ning Dai China
Luca Iuliano Italy
Guo Dong Goh Singapore
Luigi Maria Galantucci Italy
David Espalin United States
Fulvio Lavecchia Italy
Xinhua Yao China
Phuong Tran Australia
J.-P. Kruth Belgium
Michał Wieczorowski Poland
Gianluca Percoco relative to Ning Dai China Ning Dai's profile →
Citations per field
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Ning Dai · 1×
Citations per year

Countries citing papers authored by Gianluca Percoco

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Percoco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gianluca Percoco, 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 Gianluca Percoco Line = papers co-authored together Gianluca Percoco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009314
2 2010170
3 2020134
4 2018118
5 200871
6 202262
7 202051
8 202047
9 202042
10 201942
11 201336
12 202236
13 201534
14 202033
15 201032
16 202129
17 200628
18 201925
19 201023
20 201323

About Gianluca Percoco

Gianluca Percoco is a scholar working on Biomedical Engineering, Automotive Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Geology, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (35 papers), Advanced Sensor and Energy Harvesting Materials (19 papers), 3D Surveying and Cultural Heritage (14 papers), Soft Robotics and Applications (11 papers), Optical measurement and interference techniques (11 papers), 3D Shape Modeling and Analysis (8 papers), Manufacturing Process and Optimization (7 papers) and 3D Printing in Biomedical Research (7 papers). The work is most often cited by research in Automotive Engineering (979 citations), Industrial and Manufacturing Engineering (430 citations), Geology (137 citations), Biomedical Engineering (768 citations) and Mechanical Engineering (632 citations). Gianluca Percoco has collaborated with scholars based in Italy, Mexico and United States. Frequent co-authors include Luigi Maria Galantucci, Fulvio Lavecchia, Gianni Stano, Daniel Filippini, Attilio Di Nisio, Antonio-José Sánchez-Salmerón, Anna Maria Lucia Lanzolla, Roberto Deli, Marco D. de Tullio and Francesco Bottiglione. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, CIRP Annals, Rapid Prototyping Journal, Journal of Craniofacial Surgery and Progress in Additive Manufacturing.

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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