Andrew Davidson
- Computer Vision and Pattern Recognition top 2%
- Hardware and Architecture top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Co-authors
- John D. OwensYangzihao WangYuduo WuYuechao PanMichael GarlandScott A. MitchellAnjul PatneyMohamed S. Ebeida
- Topics
- Parallel Computing and Optimization Techniques (11 papers)Graph Theory and Algorithms (6 papers)Computer Graphics and Visualization Techniques (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignHardware and ArchitectureComputer Vision and Pattern Recognition
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Andrew Davidson
17 papers receiving 792 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 505
- Hardware and Architecture 292
- Artificial Intelligence 260
- Computer Networks and Communications 241
- Computer Graphics and Computer-Aided Design 158
Countries citing papers authored by Andrew Davidson
This map shows the geographic impact of Andrew Davidson'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 Andrew Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Davidson more than expected).
Fields of papers citing papers by Andrew Davidson
This network shows the impact of papers produced by Andrew Davidson. 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 Andrew Davidson. The network helps show where Andrew Davidson may publish in the future.
Co-authorship network of co-authors of Andrew Davidson
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Davidson. A scholar is included among the top collaborators of Andrew Davidson 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 Andrew Davidson. Andrew Davidson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 86 | |
| 4 | 38 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 45 | |
| 8 | 198 | |
| 9 | 125 | |
| 10 | 9 | |
| 11 | 75 | |
| 12 | 47 | |
| 13 | 55 | |
| 14 | 59 | |
| 15 | 35 | |
| 16 | 28 | |
| 17 | From SMPs to FPGAs: Multi-Target Data-Parallel Programming | 1 |
About Andrew Davidson
Andrew Davidson is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 822 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Graph Theory and Algorithms (6 papers) and Computer Graphics and Visualization Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (158 citations), Hardware and Architecture (292 citations) and Computer Vision and Pattern Recognition (505 citations). Andrew Davidson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John D. Owens, Yangzihao Wang, Yuduo Wu, Yuechao Pan, Michael Garland, Scott A. Mitchell, Anjul Patney, Mohamed S. Ebeida, Patrick Knupp and David Tarjan. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Computer-Aided Design.
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.