Tamar Shinar
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Mechanics of Materials
- Co-authors
- Ronald FedkiwAndrew SelleFrank LosassoJeong‐Mo HongJon GretarssonJonathan SuAdam W. BargteilMichael Shelley
- Topics
- Computer Graphics and Visualization Techniques (15 papers)3D Shape Modeling and Analysis (10 papers)Lattice Boltzmann Simulation Studies (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesJournal of Computational PhysicsACM Transactions on Graphics
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Tamar Shinar
26 papers receiving 589 citations
Peers
Comparison fields: 5 of 63
- Computational Mechanics 461
- Computer Graphics and Computer-Aided Design 321
- Computer Vision and Pattern Recognition 97
- Control and Systems Engineering 70
- Mechanics of Materials 41
Countries citing papers authored by Tamar Shinar
This map shows the geographic impact of Tamar Shinar'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 Tamar Shinar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Shinar more than expected).
Fields of papers citing papers by Tamar Shinar
This network shows the impact of papers produced by Tamar Shinar. 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 Tamar Shinar. The network helps show where Tamar Shinar may publish in the future.
Co-authorship network of co-authors of Tamar Shinar
This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Shinar. A scholar is included among the top collaborators of Tamar Shinar 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 Tamar Shinar. Tamar Shinar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 52 | |
| 16 | 110 | |
| 17 | 20 | |
| 18 | 32 | |
| 19 | 25 | |
| 20 | 31 |
About Tamar Shinar
Tamar Shinar is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 620 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (15 papers), 3D Shape Modeling and Analysis (10 papers) and Lattice Boltzmann Simulation Studies (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (321 citations), Computational Mechanics (461 citations) and Computer Vision and Pattern Recognition (97 citations). Tamar Shinar has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Ronald Fedkiw, Andrew Selle, Frank Losasso, Jeong‐Mo Hong, Jon Gretarsson, Jonathan Su, Adam W. Bargteil, Michael Shelley, Fabio Piano and Miyeko Mana. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and ACM Transactions on Graphics.
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.