Andrea Giachetti

3.5k citations
133 papers · 2.1k · h-index 24

Impact in

Papers in

Andrea Giachetti

122 papers receiving 2.0k citations

Peers

Andrea Giachetti
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 1.4k
  • Human-Computer Interaction 301
  • Computer Graphics and Computer-Aided Design 137
  • Ophthalmology 188
  • Media Technology 198
Replace Manoranjan Paul with:
Manoranjan Paul Australia
Ko Nishino Japan
Honggang Zhang China
Lei Zhu China
Yi‐Ping Hung Taiwan
Yo‐Sung Ho South Korea
Pietro Zanuttigh Italy
Neil A. Dodgson United Kingdom
Amar Mitiche Canada
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Citations per field
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Manoranjan Paul · 1×
Citations per year

Countries citing papers authored by Andrea Giachetti

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Giachetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998167
2 2011161
3 2000159
4 2018117
5 2011109
6 201485
7 200881
8 200377
9
Proceedings of the Eurographics 2016 Workshop on 3D Object Retrieval
201657
10 200852
11 201451
12 200240
13 201240
14 201338
15 201336
16 201333
17 200233
18
An integrated simulator for surgery of the petrous bone.
200132
19 199826
20 201426

About Andrea Giachetti

Andrea Giachetti is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Biomedical Engineering, having authored 133 papers that have together received 2.1k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (26 papers), Advanced Vision and Imaging (26 papers), Computer Graphics and Visualization Techniques (25 papers), Augmented Reality Applications (17 papers), Virtual Reality Applications and Impacts (14 papers), Hand Gesture Recognition Systems (13 papers), Medical Image Segmentation Techniques (11 papers) and Image Processing and 3D Reconstruction (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (301 citations), Computer Graphics and Computer-Aided Design (137 citations), Ophthalmology (188 citations) and Media Technology (198 citations). Andrea Giachetti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Nicola Asuni, Vincent Torre, Enrico Gobbetti, M. Campani, Ariel Caputo, Gianluigi Zanetti, Emanuele Trucco, Marco Agus, Antonio Zorcolo and Alfredo Ferreira. Their work appears in journals such as Computers & Graphics, The Visual Computer, Computer Graphics Forum, Medical Image Analysis and Computer Vision and Image Understanding.

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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