Bill Dally
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Parallel Computing and Optimization Techniques 5
- Embedded Systems Design Techniques 3
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- Interconnection Networks and Systems 4
- Distributed and Parallel Computing Systems 1
- Co-authors
- Huizi Mao (3 shared papers)Xiaodong Yang (1 shared paper)Resit Sendag (1 shared paper)Desh Deepak Singh (1 shared paper)Babak Falsafi (1 shared paper)Joshua J. Yi (1 shared paper)Derek Chiou (1 shared paper)Ardavan Pedram (1 shared paper)
- Journals
- IEEE Micro (2 papers)ACM SIGARCH Computer Architecture News (1 paper)CaltechAUTHORS (California Institute of Technology) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Bill Dally
9 papers receiving 119 citations
Peers
Comparison fields: 5 of 41
- Hardware and Architecture 40
- Computer Vision and Pattern Recognition 49
- Computational Mathematics 1
- Computer Networks and Communications 34
- Artificial Intelligence 35
Countries citing papers authored by Bill Dally
This map shows the geographic impact of Bill Dally'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 Bill Dally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Dally more than expected).
Fields of papers citing papers by Bill Dally
This network shows the impact of papers produced by Bill Dally. 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 Bill Dally. The network helps show where Bill Dally may publish in the future.
Co-authors
The 21 scholars most cited alongside Bill Dally, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 31 | |
| 2 | 2017 | 28 | |
| 3 | 2019 | 25 | |
| 4 | 2023 | 22 | |
| 5 | 2006 | 8 | |
| 6 | Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update | 2021 | 3 |
| 7 | NOCS 2007 Keynote 1 Enabling Technology for On-Chip Interconnection Networks | 2007 | 3 |
| 8 | CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video | 2019 | 2 |
| 9 | 1994 | 1 | |
| 10 | 2005 | 0 |
About Bill Dally
Bill Dally is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Neurology, having authored 10 papers that have together received 123 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Interconnection Networks and Systems (4 papers), Embedded Systems Design Techniques (3 papers), Video Surveillance and Tracking Methods (2 papers), Cellular Automata and Applications (1 paper), Distributed and Parallel Computing Systems (1 paper), Cryptography and Residue Arithmetic (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Hardware and Architecture (40 citations), Computer Vision and Pattern Recognition (49 citations), Computational Mathematics (1 citation), Computer Networks and Communications (34 citations) and Artificial Intelligence (35 citations). Bill Dally has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Huizi Mao, Xiaodong Yang, Resit Sendag, Desh Deepak Singh, Babak Falsafi, Joshua J. Yi, Derek Chiou, Ardavan Pedram, Xingyu Liu and Mark Horowitz. Their work appears in journals such as IEEE Micro, ACM SIGARCH Computer Architecture News and CaltechAUTHORS (California Institute of Technology).
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.