Claudio Silva

10.3k total citations · 4 hit papers
224 papers, 6.5k citations indexed

About

Claudio Silva is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Claudio Silva has authored 224 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Vision and Pattern Recognition, 80 papers in Computer Graphics and Computer-Aided Design and 56 papers in Computational Mechanics. Recurrent topics in Claudio Silva's work include Computer Graphics and Visualization Techniques (77 papers), Data Visualization and Analytics (67 papers) and 3D Shape Modeling and Analysis (52 papers). Claudio Silva is often cited by papers focused on Computer Graphics and Visualization Techniques (77 papers), Data Visualization and Analytics (67 papers) and 3D Shape Modeling and Analysis (52 papers). Claudio Silva collaborates with scholars based in United States, Brazil and France. Claudio Silva's co-authors include Juliana Freire, Shachar Fleishman, Daniel Cohen‐Or, Huy T. Vo, Carlos Scheidegger, Steven P. Callahan, Nivan Ferreira, Jorge Poco, Marc Alexa and Harish Doraiswamy and has published in prestigious journals such as Nucleic Acids Research, Communications of the ACM and The Journal of the Acoustical Society of America.

In The Last Decade

Claudio Silva

212 papers receiving 6.2k citations

Hit Papers

Robust moving least-squares fitting with sharp features 2005 2026 2012 2019 2005 2013 2016 2013 100 200 300 400

Peers

Claudio Silva
Comparison fields: 5 of 170
  • Computer Vision and Pattern Recognition 2.8k
  • Computer Graphics and Computer-Aided Design 2.3k
  • Computational Mechanics 2.1k
  • Signal Processing 663
  • Computer Networks and Communications 653
Replace Maneesh Agrawala with:
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Citations per field, relative to Claudio Silva
Claudio Silva · 1×
Citations per year, relative to Claudio Silva
Claudio Silva · 1×

Countries citing papers authored by Claudio Silva

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Silva. A scholar is included among the top collaborators of Claudio Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claudio Silva. Claudio Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 2
6 6
7 1
8 7
9 12
10 20
11 29
12 21
13
Riding from Urban Data to Insight Using New York City Taxis
1
14
Visualization for data-intensive science.
5
15 6
16 63
17 415
18 23
19 42
20 11

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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2026