Mark A. Duchaineau
- Materials Chemistry top 10%
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Mechanics of Materials top 5%
- Co-authors
- Kenneth I. JoyFarid F. AbrahamBernd HamannEduardo M. BringaHuajian GaoT. Dı́az de la RubiaMark SeagerR. E. Walkup
- Topics
- Computer Graphics and Visualization Techniques (32 papers)3D Shape Modeling and Analysis (18 papers)Advanced Numerical Analysis Techniques (12 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Mark A. Duchaineau
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Materials Chemistry 575
- Computational Mechanics 467
- Computer Graphics and Computer-Aided Design 445
- Computer Vision and Pattern Recognition 426
- Mechanics of Materials 206
Countries citing papers authored by Mark A. Duchaineau
This map shows the geographic impact of Mark A. Duchaineau'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 Mark A. Duchaineau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Duchaineau more than expected).
Fields of papers citing papers by Mark A. Duchaineau
This network shows the impact of papers produced by Mark A. Duchaineau. 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 Mark A. Duchaineau. The network helps show where Mark A. Duchaineau may publish in the future.
Co-authorship network of co-authors of Mark A. Duchaineau
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Duchaineau. A scholar is included among the top collaborators of Mark A. Duchaineau 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 Mark A. Duchaineau. Mark A. Duchaineau 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 | 212 | |
| 3 | 26 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 45 | |
| 7 | 11 | |
| 8 | 220 | |
| 9 | 47 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 49 | |
| 13 | 16 | |
| 14 | 14 | |
| 15 | 22 | |
| 16 | 17 | |
| 17 | 46 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 35 |
About Mark A. Duchaineau
Mark A. Duchaineau is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (32 papers), 3D Shape Modeling and Analysis (18 papers) and Advanced Numerical Analysis Techniques (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (445 citations), Computational Mechanics (467 citations) and Computer Vision and Pattern Recognition (426 citations). Mark A. Duchaineau has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Kenneth I. Joy, Farid F. Abraham, Bernd Hamann, Eduardo M. Bringa, Huajian Gao, T. Dı́az de la Rubia, Mark Seager, R. E. Walkup, Martin Bertram and Valerio Pascucci. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Materials and Nano Letters.
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.