W.J. Dally
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Interconnection Networks and Systems
- Software-Defined Networks and 5G
Papers in
-
- Interconnection Networks and Systems 7
- Software-Defined Networks and 5G 3
- Distributed systems and fault tolerance 1
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- Advanced Memory and Neural Computing 2
- Advanced Optical Network Technologies 1
- Co-authors
- Dennis Abts (3 shared papers)John Kim (3 shared papers)Steve Scott (2 shared papers)Brian Towles (2 shared papers)Steven L. Scott (1 shared paper)Mattan Erez (2 shared papers)Eric Darve (1 shared paper)Jung Ho Ahn (1 shared paper)
- Journals
- IEEE Computer Architecture Letters (1 paper)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United States
In The Last Decade
W.J. Dally
8 papers receiving 1.0k citations
W.J. Dally's Hit Papers
Peers
Comparison fields: 5 of 44
- Hardware and Architecture 574
- Computer Networks and Communications 951
- Electrical and Electronic Engineering 460
- Information Systems 142
- Electronic, Optical and Magnetic Materials 111
Countries citing papers authored by W.J. Dally
This map shows the geographic impact of W.J. 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 W.J. Dally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.J. Dally more than expected).
Fields of papers citing papers by W.J. Dally
This network shows the impact of papers produced by W.J. 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 W.J. Dally. The network helps show where W.J. Dally may publish in the future.
Co-authors
The 12 scholars most cited alongside W.J. 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 | Technology-Driven, Highly-Scalable Dragonfly Topology Hit paper breakdown → | 2008 | 366 |
| 2 | Technology-Driven, Highly-Scalable Dragonfly Topology Hit paper breakdown → | 2008 | 346 |
| 3 | 2002 | 220 | |
| 4 | 2006 | 110 | |
| 5 | 2005 | 24 | |
| 6 | 2006 | 20 | |
| 7 | 2003 | 5 | |
| 8 | 2005 | 5 |
About W.J. Dally
W.J. Dally is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Electronic, Optical and Magnetic Materials and Infectious Diseases, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (7 papers), Software-Defined Networks and 5G (3 papers), Embedded Systems Design Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Optical Network Technologies (1 paper), Distributed systems and fault tolerance (1 paper) and Supercapacitor Materials and Fabrication (1 paper). The work is most often cited by research in Hardware and Architecture (574 citations), Computer Networks and Communications (951 citations), Electrical and Electronic Engineering (460 citations), Information Systems (142 citations) and Electronic, Optical and Magnetic Materials (111 citations). W.J. Dally has collaborated with scholars based in United States. Frequent co-authors include Dennis Abts, John Kim, Steve Scott, Brian Towles, Steven L. Scott, Mattan Erez, Eric Darve, Jung Ho Ahn, Ajay V. Singh and Nuwan Jayasena. Their work appears in journals such as IEEE Computer Architecture Letters and ACM SIGARCH Computer Architecture News.
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.