Dan Ernst
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- VLSI and Analog Circuit Testing
- Embedded Systems Design Techniques
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- Low-power high-performance VLSI design
- Radiation Effects in Electronics
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
Papers in
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- Parallel Computing and Optimization Techniques 4
- Embedded Systems Design Techniques 2
- Network Packet Processing and Optimization 1
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- Interconnection Networks and Systems 3
- Co-authors
- Todd Austin (4 shared papers)Krisztián Flautner (1 shared paper)Conrad H. Ziesler (1 shared paper)Nam Sung Kim (1 shared paper)Sanjay Pant (1 shared paper)Shidhartha Das (1 shared paper)Trevor Mudge (1 shared paper)Rajeev R. Rao (1 shared paper)
- Journals
- ACM SIGARCH Computer Architecture News (2 papers)International Symposium on Microarchitecture (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Dan Ernst
4 papers receiving 914 citations
Dan Ernst's Hit Papers
Peers
Comparison fields: 5 of 27
- Hardware and Architecture 657
- Electrical and Electronic Engineering 822
- Computer Networks and Communications 255
- Software 9
- Biomedical Engineering 58
Countries citing papers authored by Dan Ernst
This map shows the geographic impact of Dan Ernst'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 Dan Ernst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ernst more than expected).
Fields of papers citing papers by Dan Ernst
This network shows the impact of papers produced by Dan Ernst. 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 Dan Ernst. The network helps show where Dan Ernst may publish in the future.
Co-authors
The 11 scholars most cited alongside Dan Ernst, 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 | Razor: a low-power pipeline based on circuit-level timing speculation Hit paper breakdown → | 2003 | 819 |
| 2 | 2002 | 69 | |
| 3 | 2003 | 57 | |
| 4 | 2003 | 6 |
About Dan Ernst
Dan Ernst is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 951 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Interconnection Networks and Systems (3 papers), Embedded Systems Design Techniques (2 papers), Network Packet Processing and Optimization (1 paper), Low-power high-performance VLSI design (1 paper) and Radiation Effects in Electronics (1 paper). The work is most often cited by research in Hardware and Architecture (657 citations), Electrical and Electronic Engineering (822 citations), Computer Networks and Communications (255 citations), Software (9 citations) and Biomedical Engineering (58 citations). Dan Ernst has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Todd Austin, Krisztián Flautner, Conrad H. Ziesler, Nam Sung Kim, Sanjay Pant, Shidhartha Das, Trevor Mudge, Rajeev R. Rao, David Blaauw and Toan Thang Pham. Their work appears in journals such as ACM SIGARCH Computer Architecture News and International Symposium on Microarchitecture.
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.