Michela Spagnuolo

5.5k citations
174 papers · 4.2k · h-index 34

Impact in

Papers in

Michela Spagnuolo

169 papers receiving 3.9k citations

Peers

Michela Spagnuolo
Comparison fields: 5 of 146
  • Computer Graphics and Computer-Aided Design 1.5k
  • Computational Mechanics 2.3k
  • Computer Vision and Pattern Recognition 2.3k
  • Geology 480
  • Space and Planetary Science 36
Replace Bianca Falcidieno with:
Bianca Falcidieno Italy
Maks Ovsjanikov France
Nina Amenta United States
Kai Xu China
Yoshihisa Shinagawa Japan
Jorge Stolfi Brazil
J.F. Blinn United States
Scott Schaefer United States
Helmut Pottmann Austria
Konrad Polthier Germany
Michela Spagnuolo relative to Bianca Falcidieno Italy Bianca Falcidieno's profile →
Citations per field
00.5×1.5×1.8×
Bianca Falcidieno · 1×
Citations per year

Countries citing papers authored by Michela Spagnuolo

Since Specialization
Citations

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

Fields of papers citing papers by Michela Spagnuolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006333
2 2006208
3 2009206
4 2007180
5 2016178
6 2008160
7 2006123
8 200393
9 200386
10 200986
11 200485
12 200783
13 200576
14 201375
15 200972
16 200066
17 200759
18 200058
19 200357
20 200052

About Michela Spagnuolo

Michela Spagnuolo is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geology and Artificial Intelligence, having authored 174 papers that have together received 4.2k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (87 papers), Computer Graphics and Visualization Techniques (48 papers), Image Processing and 3D Reconstruction (35 papers), Image Retrieval and Classification Techniques (35 papers), Advanced Numerical Analysis Techniques (26 papers), Computational Geometry and Mesh Generation (20 papers), 3D Surveying and Cultural Heritage (20 papers) and Advanced Image and Video Retrieval Techniques (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.5k citations), Computational Mechanics (2.3k citations), Computer Vision and Pattern Recognition (2.3k citations), Geology (480 citations) and Space and Planetary Science (36 citations). Michela Spagnuolo has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Bianca Falcidieno, Marco Attene, Silvia Biasotti, Giuseppe Patanè, Michela Mortara, Daniela Giorgi, Simone Marini, Leila De Floriani, Jarek Rossignac and Martin Reuter. Their work appears in journals such as Computers & Graphics, The Visual Computer, Computer Graphics Forum, Computer-Aided Design and ACM Transactions on Graphics.

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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