Andrea Giachetti

3.5k citations
165 papers · 2.7k · h-index 27

Impact in

Papers in

Andrea Giachetti

156 papers receiving 2.5k citations

Peers

Andrea Giachetti
Comparison fields: 5 of 123
  • Computer Vision and Pattern Recognition 1.7k
  • Human-Computer Interaction 361
  • Computer Graphics and Computer-Aided Design 201
  • Ophthalmology 204
  • Media Technology 221
Replace Ko Nishino with:
Ko Nishino Japan
Hajime Nagahara Japan
Neil A. Dodgson United Kingdom
Stephen Lin China
James A. Ferwerda United States
Shengfeng He China
Dimitrios Metaxas United States
Yin Li United States
Kaiyu Yang China
Andrea Giachetti relative to Ko Nishino Japan Ko Nishino's profile →
Citations per field
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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 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998189
2 2011172
3 2000170
4 2018139
5 2011117
6 2014101
7 200891
8 200386
9 201459
10 200856
11 201453
12 201248
13 201548
14 200245
15 201343
16 201342
17 200241
18
An integrated simulator for surgery of the petrous bone.
200137
19 201336
20 201635

About Andrea Giachetti

Andrea Giachetti is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Computational Mechanics and Geology, having authored 165 papers that have together received 2.7k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (36 papers), Advanced Vision and Imaging (30 papers), Computer Graphics and Visualization Techniques (28 papers), Augmented Reality Applications (18 papers), Image Processing and 3D Reconstruction (17 papers), Medical Image Segmentation Techniques (17 papers), Human Pose and Action Recognition (15 papers) and Virtual Reality Applications and Impacts (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Human-Computer Interaction (361 citations), Computer Graphics and Computer-Aided Design (201 citations), Ophthalmology (204 citations) and Media Technology (221 citations). Andrea Giachetti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Nicola Asuni, Vincent Torre, Enrico Gobbetti, M. Campani, Ariel Caputo, Gianluigi Zanetti, Emanuele Trucco, Marco Agus, Antonio Zorcolo and Lucia Ballerini. Their work appears in journals such as Computers & Graphics, Computer Graphics Forum, The Visual Computer, 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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