Tor M. Aamodt
- Hardware and Architecture top 0.05%
- Computer Networks and Communications top 0.2%
- Electrical and Electronic Engineering top 2%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 0.5%
- Co-authors
- Wilson Wai Lun FungGeorge L. YuanAli BakhodaTayler HetheringtonHenry WongMike O’ConnorTimothy G. RogersAndreas Moshovos
- Topics
- Parallel Computing and Optimization Techniques (70 papers)Advanced Data Storage Technologies (34 papers)Interconnection Networks and Systems (31 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Tor M. Aamodt
92 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Hardware and Architecture 3.9k
- Computer Networks and Communications 3.5k
- Electrical and Electronic Engineering 1.5k
- Computer Vision and Pattern Recognition 1.1k
- Information Systems 786
Countries citing papers authored by Tor M. Aamodt
This map shows the geographic impact of Tor M. Aamodt'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 Tor M. Aamodt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tor M. Aamodt more than expected).
Fields of papers citing papers by Tor M. Aamodt
This network shows the impact of papers produced by Tor M. Aamodt. 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 Tor M. Aamodt. The network helps show where Tor M. Aamodt may publish in the future.
Co-authorship network of co-authors of Tor M. Aamodt
This figure shows the co-authorship network connecting the top 25 collaborators of Tor M. Aamodt. A scholar is included among the top collaborators of Tor M. Aamodt 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 Tor M. Aamodt. Tor M. Aamodt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | AC-GC: Lossy Activation Compression with Guaranteed Convergence | 4 |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 28 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | Cache-Conscious Wavefront Schedulingbreakdown → | 340 |
| 17 | 29 | |
| 18 | 107 | |
| 19 | 23 | |
| 20 | Dynamic Warp Formation and Scheduling for Efficient GPU Control Flowbreakdown → | 557 |
About Tor M. Aamodt
Tor M. Aamodt is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 94 papers that have together received 5.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (70 papers), Advanced Data Storage Technologies (34 papers) and Interconnection Networks and Systems (31 papers). The work is most often cited by research in Hardware and Architecture (3.9k citations), Computer Networks and Communications (3.5k citations) and Computational Mathematics (39 citations). Tor M. Aamodt has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Wilson Wai Lun Fung, George L. Yuan, Ali Bakhoda, Tayler Hetherington, Henry Wong, Mike O’Connor, Timothy G. Rogers, Andreas Moshovos, Jorge Albericio and Patrick Judd. Their work appears in journals such as Communications of the ACM, Computer and IEEE Transactions on Computers.
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.