Leonidas Guibas
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Aerospace Engineering
- Geology top 10%
- Co-authors
- Maks OvsjanikovFacundo MémoliQuentin MérigotMirela Ben‐ChenAndy NguyễnYinyu YeJustin SolomonAdrian Butscher
- Topics
- 3D Shape Modeling and Analysis (8 papers)Computer Graphics and Visualization Techniques (7 papers)Image Processing and 3D Reconstruction (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- Computer Graphics ForumIEEE Robotics and Automation LettersFreiDok plus (Universitätsbibliothek Freiburg)
- Partner nations
- United StatesFranceChina
In The Last Decade
Leonidas Guibas
13 papers receiving 385 citations
Peers
Comparison fields: 5 of 52
- Computational Mechanics 289
- Computer Vision and Pattern Recognition 253
- Computer Graphics and Computer-Aided Design 155
- Aerospace Engineering 55
- Geology 42
Countries citing papers authored by Leonidas Guibas
This map shows the geographic impact of Leonidas Guibas'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 Leonidas Guibas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonidas Guibas more than expected).
Fields of papers citing papers by Leonidas Guibas
This network shows the impact of papers produced by Leonidas Guibas. 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 Leonidas Guibas. The network helps show where Leonidas Guibas may publish in the future.
Co-authorship network of co-authors of Leonidas Guibas
This figure shows the co-authorship network connecting the top 25 collaborators of Leonidas Guibas. A scholar is included among the top collaborators of Leonidas Guibas 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 Leonidas Guibas. Leonidas Guibas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 30 | |
| 12 | 40 | |
| 13 | 72 | |
| 14 | 194 |
About Leonidas Guibas
Leonidas Guibas is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 393 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (7 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (155 citations), Computational Mechanics (289 citations) and Computer Vision and Pattern Recognition (253 citations). Leonidas Guibas has collaborated with scholars based in United States, France and China. Frequent co-authors include Maks Ovsjanikov, Facundo Mémoli, Quentin Mérigot, Mirela Ben‐Chen, Andy Nguyễn, Yinyu Ye, Justin Solomon, Adrian Butscher, Viorica Pătrăucean and Panos Achlioptas. Their work appears in journals such as Computer Graphics Forum, IEEE Robotics and Automation Letters and FreiDok plus (Universitätsbibliothek Freiburg).
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.