Philip M. Hubbard
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computational Mechanics top 5%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Peter ShirleyDonald P. GreenbergJohn F. HughesBruce WalterSubhash SuriRobert C. ZeleznikMatthias M. WlokaHenry Kaufman
- Topics
- Computer Graphics and Visualization Techniques (8 papers)Computational Geometry and Mesh Generation (7 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- United States
In The Last Decade
Philip M. Hubbard
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 785
- Computer Graphics and Computer-Aided Design 694
- Computational Mechanics 250
- Aerospace Engineering 215
- Control and Systems Engineering 182
Countries citing papers authored by Philip M. Hubbard
This map shows the geographic impact of Philip M. Hubbard'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 Philip M. Hubbard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip M. Hubbard more than expected).
Fields of papers citing papers by Philip M. Hubbard
This network shows the impact of papers produced by Philip M. Hubbard. 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 Philip M. Hubbard. The network helps show where Philip M. Hubbard may publish in the future.
Co-authorship network of co-authors of Philip M. Hubbard
This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Hubbard. A scholar is included among the top collaborators of Philip M. Hubbard 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 Philip M. Hubbard. Philip M. Hubbard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 8 | |
| 3 | 23 | |
| 4 | 14 | |
| 5 | 131 | |
| 6 | 56 | |
| 7 | 22 | |
| 8 | 4 | |
| 9 | 346 | |
| 10 | 11 | |
| 11 | 296 | |
| 12 | Space-Time Bounds for Collision Detection | 4 |
| 13 | 143 | |
| 14 | 34 | |
| 15 | UGA: A Unified Graphics Architecture | 4 |
| 16 | 59 | |
| 17 | Constructive Solid Geometry for Triangulated Polyhedra | 7 |
| 18 | 15 |
About Philip M. Hubbard
Philip M. Hubbard is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), Computational Geometry and Mesh Generation (7 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (694 citations), Computer Vision and Pattern Recognition (785 citations) and Human-Computer Interaction (99 citations). Philip M. Hubbard has collaborated with scholars based in United States. Frequent co-authors include Peter Shirley, Donald P. Greenberg, John F. Hughes, Bruce Walter, Subhash Suri, Robert C. Zeleznik, Matthias M. Wloka, Henry Kaufman, Andries van Dam and Daniel G. Aliaga. Their work appears in journals such as Cell, The Journal of Finance 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.