Ross Daly
Impact in
- Hardware and Architecture top 1%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Advanced Memory and Neural Computing 2
- VLSI and FPGA Design Techniques 1
-
- Embedded Systems Design Techniques 3
- VLSI and Analog Circuit Testing 1
- Co-authors
- Chris Fallin (2 shared papers)Chris Wilkerson (2 shared papers)Yoongu Kim (2 shared papers)Onur Mutlu (2 shared papers)Donghyuk Lee (2 shared papers)Jeremie Kim (2 shared papers)Konrad Lai (2 shared papers)Pat Hanrahan (4 shared papers)
- Journals
- ACM Transactions on Graphics (1 paper)Acta Agriculturae Scandinavica Section B - Soil & Plant Science (1 paper)Journal of Lubrication Technology (1 paper)ACM SIGARCH Computer Architecture News (1 paper)Institutional Research Information System (Università degli Studi di Trento) (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Ross Daly
9 papers receiving 899 citations
Ross Daly's Hit Papers
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 496
- Signal Processing 247
- Artificial Intelligence 501
- Computer Networks and Communications 240
- Electrical and Electronic Engineering 434
Countries citing papers authored by Ross Daly
This map shows the geographic impact of Ross Daly'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 Ross Daly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross Daly more than expected).
Fields of papers citing papers by Ross Daly
This network shows the impact of papers produced by Ross Daly. 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 Ross Daly. The network helps show where Ross Daly may publish in the future.
Co-authors
The 23 scholars most cited alongside Ross Daly, 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 | Flipping bits in memory without accessing them Hit paper breakdown → | 2014 | 565 |
| 2 | 2014 | 261 | |
| 3 | 2016 | 44 | |
| 4 | 2020 | 35 | |
| 5 | 2018 | 16 | |
| 6 | 2023 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2021 | 2 | |
| 9 | 1968 | 1 |
About Ross Daly
Ross Daly is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 9 papers that have together received 935 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (3 papers), Advanced Memory and Neural Computing (2 papers), Security and Verification in Computing (2 papers), Interactive and Immersive Displays (1 paper), VLSI and FPGA Design Techniques (1 paper), Drilling and Well Engineering (1 paper), VLSI and Analog Circuit Testing (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Hardware and Architecture (496 citations), Signal Processing (247 citations), Artificial Intelligence (501 citations), Computer Networks and Communications (240 citations) and Electrical and Electronic Engineering (434 citations). Ross Daly has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Chris Fallin, Chris Wilkerson, Yoongu Kim, Onur Mutlu, Donghyuk Lee, Jeremie Kim, Konrad Lai, Pat Hanrahan, Mark Horowitz and Jonathan Ragan‐Kelley. Their work appears in journals such as ACM Transactions on Graphics, Acta Agriculturae Scandinavica Section B - Soil & Plant Science, Journal of Lubrication Technology, ACM SIGARCH Computer Architecture News and Institutional Research Information System (Università degli Studi di Trento).
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.