D. Ayers

538 citations
13 papers · 408 · h-index 8

Impact in

Papers in

    • Low-power high-performance VLSI design 11
    • Semiconductor materials and devices 4
    • Advancements in Semiconductor Devices and Circuit Design 4
    • Parallel Computing and Optimization Techniques 11
    • Embedded Systems Design Techniques 5
    • Network Packet Processing and Optimization 1

D. Ayers

12 papers receiving 384 citations

Peers

D. Ayers
Comparison fields: 5 of 18
  • Hardware and Architecture 267
  • Computer Networks and Communications 147
  • Electrical and Electronic Engineering 314
  • Information Systems 14
  • Biomedical Engineering 14
Replace H. Muljono with:
H. Muljono United States
Blaine Stackhouse United States
Jinuk Luke Shin United States
Ana Sonia Leon United States
Daniel B. Jackson United States
Michael Konow United States
P. Parries United States
B.J. Benschneider United States
Aristides Efthymiou United Kingdom
Ronald P. Luijten Switzerland
D. Ayers relative to H. Muljono United States H. Muljono's profile →
Citations per field
00.5×1.5×
H. Muljono · 1×
Citations per year

Countries citing papers authored by D. Ayers

Since Specialization
Citations

This map shows the geographic impact of D. 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 D. Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Ayers more than expected).

Fields of papers citing papers by D. Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. 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 D. Ayers. The network helps show where D. Ayers may publish in the future.

Co-authors

The 16 scholars most cited alongside D. Ayers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Ayers Line = papers co-authored together D. Ayers links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201092
2 200777
3 200473
4 200663
5 201427
6 200926
7 200919
8 20068
9 20037
10 20146
11 20096
12 20104
13 20020

About D. Ayers

D. Ayers is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 408 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Low-power high-performance VLSI design (11 papers), Embedded Systems Design Techniques (5 papers), Semiconductor materials and devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Interconnection Networks and Systems (1 paper), Advanced Data Storage Technologies (1 paper) and Network Packet Processing and Optimization (1 paper). The work is most often cited by research in Hardware and Architecture (267 citations), Computer Networks and Communications (147 citations), Electrical and Electronic Engineering (314 citations), Information Systems (14 citations) and Biomedical Engineering (14 citations). D. Ayers has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stefan Rusu, Simon Tam, H. Muljono, J. Chang, Ed Grochowski, Vivek Tiwari, B.S. Cherkauer, Wei Chen, Aaron D. Martin and Eddie Wang. 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.

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