Evan C. Sherbrooke
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Mechanical Engineering
- Co-authors
- Nicholas M. PatrikalakisErik BrissonFranz-Erich WolterTakashi MaekawaMartin ReuterTarjei S. MikkelsenChengyang HuXingchen Ye
- Topics
- Advanced Numerical Analysis Techniques (7 papers)Polynomial and algebraic computation (4 papers)Numerical Methods and Algorithms (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Visualization and Computer GraphicsComputer-Aided DesignEngineering With Computers
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Evan C. Sherbrooke
8 papers receiving 441 citations
Peers
Comparison fields: 5 of 57
- Computational Mechanics 358
- Computer Graphics and Computer-Aided Design 263
- Computer Vision and Pattern Recognition 150
- Computational Theory and Mathematics 82
- Mechanical Engineering 56
Countries citing papers authored by Evan C. Sherbrooke
This map shows the geographic impact of Evan C. Sherbrooke'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 Evan C. Sherbrooke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan C. Sherbrooke more than expected).
Fields of papers citing papers by Evan C. Sherbrooke
This network shows the impact of papers produced by Evan C. Sherbrooke. 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 Evan C. Sherbrooke. The network helps show where Evan C. Sherbrooke may publish in the future.
Co-authorship network of co-authors of Evan C. Sherbrooke
This figure shows the co-authorship network connecting the top 25 collaborators of Evan C. Sherbrooke. A scholar is included among the top collaborators of Evan C. Sherbrooke 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 Evan C. Sherbrooke. Evan C. Sherbrooke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 26 | |
| 3 | 116 | |
| 4 | 59 | |
| 5 | 39 | |
| 6 | 53 | |
| 7 | 128 | |
| 8 | 41 |
About Evan C. Sherbrooke
Evan C. Sherbrooke is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computational Theory and Mathematics, having authored 8 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (7 papers), Polynomial and algebraic computation (4 papers) and Numerical Methods and Algorithms (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (263 citations), Computational Mechanics (358 citations) and Computer Vision and Pattern Recognition (150 citations). Evan C. Sherbrooke has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Nicholas M. Patrikalakis, Erik Brisson, Franz-Erich Wolter, Takashi Maekawa, Martin Reuter, Tarjei S. Mikkelsen, Chengyang Hu, Xingchen Ye and Stephen L. Abrams. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer-Aided Design and Engineering With Computers.
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.