Michael Shantz
- Computer Graphics and Computer-Aided Design top 1%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 10%
- Mechanical Engineering
- Co-authors
- Vaughan PrattDavid H. EberlyTurner WhittedG. D. McCannHoward PoiznerFritz B. PrinzMichael CoxFeng Xie
- Topics
- Computer Graphics and Visualization Techniques (8 papers)Computational Geometry and Mesh Generation (5 papers)Advanced Numerical Analysis Techniques (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Biomedical EngineeringBehavior Research MethodsIEEE Computer Graphics and Applications
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Michael Shantz
14 papers receiving 281 citations
Peers
Comparison fields: 5 of 59
- Computer Graphics and Computer-Aided Design 202
- Computational Mechanics 157
- Computer Vision and Pattern Recognition 137
- Human-Computer Interaction 32
- Mechanical Engineering 23
Countries citing papers authored by Michael Shantz
This map shows the geographic impact of Michael Shantz'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 Michael Shantz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Shantz more than expected).
Fields of papers citing papers by Michael Shantz
This network shows the impact of papers produced by Michael Shantz. 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 Michael Shantz. The network helps show where Michael Shantz may publish in the future.
Co-authorship network of co-authors of Michael Shantz
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Shantz. A scholar is included among the top collaborators of Michael Shantz 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 Michael Shantz. Michael Shantz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 18 | |
| 3 | 7 | |
| 4 | 71 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 40 | |
| 8 | 18 | |
| 9 | 46 | |
| 10 | 4 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 41 | |
| 14 | 25 |
About Michael Shantz
Michael Shantz is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 14 papers that have together received 331 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), Computational Geometry and Mesh Generation (5 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (202 citations), Computational Mechanics (157 citations) and Computer Vision and Pattern Recognition (137 citations). Michael Shantz has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Vaughan Pratt, David H. Eberly, Turner Whitted, G. D. McCann, Howard Poizner, Fritz B. Prinz, Michael Cox and Feng Xie. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Behavior Research Methods and IEEE Computer Graphics and Applications.
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.