Ian Buck
Impact in
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Computer Graphics and Visualization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 16
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- Parallel Computing and Optimization Techniques 10
- Co-authors
- John R. Nickolls (3 shared papers)Kevin Skadron (3 shared papers)Michael J. Garland (3 shared papers)Pat Hanrahan (12 shared papers)Jeremy Sugerman (3 shared papers)Tim Foley (2 shared papers)Daniel Reiter Horn (3 shared papers)Mike Houston (3 shared papers)
- Journals
- ACM Transactions on Graphics (2 papers)Queue (1 paper)The Journal of Supercomputing (1 paper)ACM eBooks (1 paper)Conference on High Performance Computing (Supercomputing) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ian Buck
25 papers receiving 4.7k citations
Ian Buck's Hit Papers
Peers
Comparison fields: 5 of 140
- Hardware and Architecture 1.9k
- Computer Graphics and Computer-Aided Design 791
- Computer Networks and Communications 1.8k
- Computer Vision and Pattern Recognition 1.3k
- Computational Mathematics 25
Countries citing papers authored by Ian Buck
This map shows the geographic impact of Ian Buck'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 Ian Buck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Buck more than expected).
Fields of papers citing papers by Ian Buck
This network shows the impact of papers produced by Ian Buck. 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 Ian Buck. The network helps show where Ian Buck may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Buck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scalable Parallel Programming with CUDA Hit paper breakdown → | 2008 | 1294 |
| 2 | Scalable parallel programming with CUDA Hit paper breakdown → | 2008 | 1181 |
| 3 | Brook for GPUs Hit paper breakdown → | 2004 | 871 |
| 4 | 2003 | 242 | |
| 5 | 2004 | 228 | |
| 6 | 2001 | 208 | |
| 7 | 2005 | 178 | |
| 8 | 2002 | 137 | |
| 9 | 2002 | 105 | |
| 10 | 2006 | 88 | |
| 11 | 2000 | 73 | |
| 12 | 2009 | 72 | |
| 13 | 2000 | 57 | |
| 14 | 2007 | 56 | |
| 15 | 2000 | 49 | |
| 16 | 2010 | 48 | |
| 17 | 2008 | 39 | |
| 18 | 2000 | 36 | |
| 19 | Data Parallel Computation on Graphics Hardware | 2003 | 19 |
| 20 | Stream computing on graphics hardware | 2005 | 17 |
About Ian Buck
Ian Buck is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology, having authored 26 papers that have together received 5.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (16 papers), Parallel Computing and Optimization Techniques (10 papers), Advanced Vision and Imaging (6 papers), Distributed and Parallel Computing Systems (5 papers), Advanced Optical Imaging Technologies (4 papers), Data Visualization and Analytics (3 papers), Interactive and Immersive Displays (3 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (1.9k citations), Computer Graphics and Computer-Aided Design (791 citations), Computer Networks and Communications (1.8k citations), Computer Vision and Pattern Recognition (1.3k citations) and Computational Mathematics (25 citations). Ian Buck has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John R. Nickolls, Kevin Skadron, Michael J. Garland, Pat Hanrahan, Jeremy Sugerman, Tim Foley, Daniel Reiter Horn, Mike Houston, Kayvon Fatahalian and Timothy J. Purcell. Their work appears in journals such as ACM Transactions on Graphics, Queue, The Journal of Supercomputing, ACM eBooks and Conference on High Performance Computing (Supercomputing).
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.