Jamie Wither
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Marie‐Paule CaniLaurence BoissieuxAlla ShefferPhilippe DecaudinDan JuliusJohn HughesChristophe GodinFrédéric Boudon
- Topics
- Computer Graphics and Visualization Techniques (5 papers)3D Shape Modeling and Analysis (4 papers)Human Motion and Animation (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsHuman-Computer Interaction
- Journals
- Computer Graphics ForumIEEE Computer Graphics and ApplicationsHAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Jamie Wither
5 papers receiving 412 citations
Peers
Comparison fields: 5 of 45
- Computational Mechanics 313
- Computer Graphics and Computer-Aided Design 303
- Computer Vision and Pattern Recognition 144
- Control and Systems Engineering 63
- Human-Computer Interaction 46
Countries citing papers authored by Jamie Wither
This map shows the geographic impact of Jamie Wither'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 Jamie Wither with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Wither more than expected).
Fields of papers citing papers by Jamie Wither
This network shows the impact of papers produced by Jamie Wither. 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 Jamie Wither. The network helps show where Jamie Wither may publish in the future.
Co-authorship network of co-authors of Jamie Wither
This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Wither. A scholar is included among the top collaborators of Jamie Wither 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 Jamie Wither. Jamie Wither is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 104 | |
| 3 | 24 | |
| 4 | 66 | |
| 5 | 163 | |
| 6 | Interactive dynamic objects in a virtual light field | 0 |
About Jamie Wither
Jamie Wither is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Media Technology, having authored 6 papers that have together received 425 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (303 citations), Computational Mechanics (313 citations) and Human-Computer Interaction (46 citations). Jamie Wither has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Marie‐Paule Cani, Laurence Boissieux, Alla Sheffer, Philippe Decaudin, Dan Julius, John Hughes, Christophe Godin, Frédéric Boudon, Kenneth Rose and Boris Thibert. Their work appears in journals such as Computer Graphics Forum, IEEE Computer Graphics and Applications and HAL (Le Centre pour la Communication Scientifique Directe).
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.