David Ayers
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Interconnection Networks and Systems
- Advanced Data Storage Technologies
Papers in
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- Parallel Computing and Optimization Techniques 11
- Embedded Systems Design Techniques 5
- Network Packet Processing and Optimization 1
- VLSI and Analog Circuit Testing 1
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- Low-power high-performance VLSI design 11
- Semiconductor materials and devices 4
- Advancements in Semiconductor Devices and Circuit Design 4
- Co-authors
- Stefan Rusu (9 shared papers)Simon M. Tam (9 shared papers)Harry Muljono (8 shared papers)Ed Grochowski (2 shared papers)Vivek Tiwari (1 shared paper)B.S. Cherkauer (2 shared papers)Justin Leung (1 shared paper)Eddie Wang (2 shared papers)
- Journals
- IEEE Journal of Solid-State Circuits (3 papers)IEEE Design & Test of Computers (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
David Ayers
12 papers receiving 406 citations
Peers
Comparison fields: 5 of 18
- Hardware and Architecture 274
- Computer Networks and Communications 152
- Electrical and Electronic Engineering 334
- Information Systems 14
- Biomedical Engineering 18
Countries citing papers authored by David Ayers
This map shows the geographic impact of David Ayers'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 David Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ayers more than expected).
Fields of papers citing papers by David Ayers
This network shows the impact of papers produced by David Ayers. 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 David Ayers. The network helps show where David Ayers may publish in the future.
Co-authors
The 16 scholars most cited alongside David Ayers, 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 | 2010 | 97 | |
| 2 | 2007 | 76 | |
| 3 | 2004 | 74 | |
| 4 | 2006 | 70 | |
| 5 | 2014 | 33 | |
| 6 | 2009 | 29 | |
| 7 | 2009 | 19 | |
| 8 | 2003 | 8 | |
| 9 | 2009 | 7 | |
| 10 | 2014 | 6 | |
| 11 | 2006 | 6 | |
| 12 | 2010 | 4 | |
| 13 | 2002 | 0 |
About David Ayers
David Ayers is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 13 papers that have together received 429 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (11 papers), Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (5 papers), Semiconductor materials and devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Advanced Data Storage Technologies (1 paper), Network Packet Processing and Optimization (1 paper) and VLSI and Analog Circuit Testing (1 paper). The work is most often cited by research in Hardware and Architecture (274 citations), Computer Networks and Communications (152 citations), Electrical and Electronic Engineering (334 citations), Information Systems (14 citations) and Biomedical Engineering (18 citations). David Ayers has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stefan Rusu, Simon M. Tam, Harry Muljono, Ed Grochowski, Vivek Tiwari, B.S. Cherkauer, Justin Leung, Eddie Wang, Aaron D. Martin and Wei Chen. Their work appears in journals such as IEEE Journal of Solid-State Circuits and IEEE Design & Test of 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.