Pedro V. Sander

4.2k citations
79 papers · 2.9k · h-index 28

Impact in

Papers in

Pedro V. Sander

78 papers receiving 2.7k citations

Peers

Pedro V. Sander
Comparison fields: 5 of 94
  • Computer Graphics and Computer-Aided Design 1.3k
  • Computer Vision and Pattern Recognition 1.7k
  • Computational Mechanics 962
  • Hardware and Architecture 184
  • Signal Processing 278
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Bruce Walter United States
P. J. Narayanan India
Tomas Akenine‐Möller Sweden
Michael McCool Canada
Markus Steinberger Austria
Zvi M. Kedem United States
Jonathan Ragan‐Kelley United States
Kayvon Fatahalian United States
Ricardo L. de Queiroz Brazil
Anthony Vetro United States
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Citations per field
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Citations per year

Countries citing papers authored by Pedro V. Sander

Since Specialization
Citations

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

Fields of papers citing papers by Pedro V. Sander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro V. Sander. 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 Pedro V. Sander. The network helps show where Pedro V. Sander may publish in the future.

Co-authors

The 25 scholars most cited alongside Pedro V. Sander, 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 Pedro V. Sander Line = papers co-authored together Pedro V. Sander 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 2001462
2 2008251
3 2009195
4 2018193
5 2000145
6 2019120
7 2002105
8 2022105
9 200776
10 201965
11
Parallel Data Mining on Graphics Processors
201163
12 200954
13 201954
14 201446
15 200742
16 201038
17 201937
18 200737
19 201234
20 201234

About Pedro V. Sander

Pedro V. Sander is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Signal Processing and Computer Networks and Communications, having authored 79 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (50 papers), Advanced Vision and Imaging (37 papers), 3D Shape Modeling and Analysis (26 papers), Data Management and Algorithms (11 papers), Advanced Image Processing Techniques (9 papers), Computational Geometry and Mesh Generation (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.3k citations), Computer Vision and Pattern Recognition (1.7k citations), Computational Mechanics (962 citations), Hardware and Architecture (184 citations) and Signal Processing (278 citations). Pedro V. Sander has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Hugues Hoppe, John Snyder, Steven J. Gortler, Jing Liao, Diego Nehab, Ke Yang, Bingsheng He, Mian Lu, Qiong Luo and Naga K. Govindaraju. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Journal of Computational Chemistry and ACM SIGPLAN Notices.

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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