M.C. Rivara
Impact in
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- Computational Geometry and Mesh Generation
- Computer Graphics and Visualization Techniques
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
- Advanced Numerical Analysis Techniques
- 3D Shape Modeling and Analysis
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- Computational Geometry and Mesh Generation 7
- Computer Graphics and Visualization Techniques 4
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- Advanced Numerical Analysis Techniques 3
- 3D Shape Modeling and Analysis 2
- Journals
- Engineering With Computers (2 papers)International Journal for Numerical Methods in Engineering (2 papers)Computer-Aided Design (1 paper)Journal of Computational and Applied Mathematics (1 paper)CLEI electronic journal (1 paper)
- Partner nations
- ChileSwitzerlandCanada
In The Last Decade
M.C. Rivara
6 papers receiving 260 citations
Peers
Comparison fields: 5 of 48
- Computer Graphics and Computer-Aided Design 144
- Computational Mechanics 182
- Computer Vision and Pattern Recognition 51
- Computational Theory and Mathematics 36
- Numerical Analysis 12
Countries citing papers authored by M.C. Rivara
This map shows the geographic impact of M.C. Rivara'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 M.C. Rivara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.C. Rivara more than expected).
Fields of papers citing papers by M.C. Rivara
This network shows the impact of papers produced by M.C. Rivara. 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 M.C. Rivara. The network helps show where M.C. Rivara may publish in the future.
Co-authorship network
The 4 scholars most cited alongside M.C. Rivara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 1 | |
| 2 | 2004 | 4 | |
| 3 | 2003 | 15 | |
| 4 | 2001 | 7 | |
| 5 | 2001 | 24 | |
| 6 | 1996 | 23 | |
| 7 | 1984 | 213 |
About M.C. Rivara
M.C. Rivara is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Geology, Computer Vision and Pattern Recognition and Signal Processing, having authored 7 papers that have together received 287 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (7 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Numerical Analysis Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers), 3D Surveying and Cultural Heritage (1 paper), Digital Image Processing Techniques (1 paper), Data Management and Algorithms (1 paper) and 3D Modeling in Geospatial Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (144 citations), Computational Mechanics (182 citations), Computer Vision and Pattern Recognition (51 citations), Computational Theory and Mathematics (36 citations) and Numerical Analysis (12 citations). M.C. Rivara has collaborated with scholars based in Chile, Switzerland and Canada. Frequent co-authors include Nancy Hitschfeld, Jens Krause, Ángel Plaza and Mauricio Solar. Their work appears in journals such as Engineering With Computers, International Journal for Numerical Methods in Engineering, Computer-Aided Design, Journal of Computational and Applied Mathematics and CLEI electronic journal.
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.