P. Amburn
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Computational Mechanics
- Co-authors
- Robert MoorheadJibonananda SanyalJamie DyerAlison R. MercerSong ZhangGargi BhattacharyaMartin R. StytzTurner Whitted
- Topics
- Computer Graphics and Visualization Techniques (6 papers)Simulation and Modeling Applications (4 papers)Data Visualization and Analytics (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Journals
- IEEE Transactions on Visualization and Computer GraphicsIEEE Computer Graphics and ApplicationsPRESENCE Virtual and Augmented Reality
- Partner nations
- United StatesGermany
In The Last Decade
P. Amburn
16 papers receiving 383 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 277
- Computer Graphics and Computer-Aided Design 84
- Artificial Intelligence 83
- Signal Processing 78
- Computational Mechanics 31
Countries citing papers authored by P. Amburn
This map shows the geographic impact of P. Amburn'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 P. Amburn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Amburn more than expected).
Fields of papers citing papers by P. Amburn
This network shows the impact of papers produced by P. Amburn. 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 P. Amburn. The network helps show where P. Amburn may publish in the future.
Co-authorship network of co-authors of P. Amburn
This figure shows the co-authorship network connecting the top 25 collaborators of P. Amburn. A scholar is included among the top collaborators of P. Amburn 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 P. Amburn. P. Amburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 195 | |
| 2 | 96 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | 27 | |
| 15 | 6 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 20 |
About P. Amburn
P. Amburn is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Software, having authored 19 papers that have together received 416 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Simulation and Modeling Applications (4 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (84 citations), Computer Vision and Pattern Recognition (277 citations) and Signal Processing (78 citations). P. Amburn has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert Moorhead, Jibonananda Sanyal, Jamie Dyer, Alison R. Mercer, Song Zhang, Song Zhang, Gargi Bhattacharya, Martin R. Stytz, Turner Whitted and D. F. Robinson. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and PRESENCE Virtual and Augmented Reality.
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.