Wayne Sawdon
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
- Software System Performance and Reliability
- Peer-to-Peer Network Technologies
Papers in
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- Distributed systems and fault tolerance 6
- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 2
- Software System Performance and Reliability 1
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- Parallel Computing and Optimization Techniques 2
- Real-Time Systems Scheduling 1
- Co-authors
- Matthew J. Zekauskas (2 shared papers)Brian N. Bershad (2 shared papers)Roger Haskin (3 shared papers)Dean Daniels (2 shared papers)Heiko Ludwig (1 shared paper)Mohamed Mohamed (1 shared paper)R. Engel (1 shared paper)Ling Liu (1 shared paper)
- Journals
- ACM SIGOPS Operating Systems Review (2 papers)Operating Systems Design and Implementation (1 paper)Defense Technical Information Center (DTIC) (1 paper)
- Partner nations
- United States
In The Last Decade
Wayne Sawdon
6 papers receiving 197 citations
Peers
Comparison fields: 5 of 21
- Hardware and Architecture 178
- Computer Networks and Communications 225
- Information Systems 58
- Computer Graphics and Computer-Aided Design 1
- Philosophy 3
Countries citing papers authored by Wayne Sawdon
This map shows the geographic impact of Wayne Sawdon'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 Wayne Sawdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Sawdon more than expected).
Fields of papers citing papers by Wayne Sawdon
This network shows the impact of papers produced by Wayne Sawdon. 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 Wayne Sawdon. The network helps show where Wayne Sawdon may publish in the future.
Co-authors
The 8 scholars most cited alongside Wayne Sawdon, 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 | 2002 | 155 | |
| 2 | 1994 | 60 | |
| 3 | 1987 | 13 | |
| 4 | 1991 | 5 | |
| 5 | 2018 | 3 | |
| 6 | 1990 | 2 |
About Wayne Sawdon
Wayne Sawdon is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 238 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Distributed and Parallel Computing Systems (4 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Cloud Computing and Resource Management (2 papers), Software System Performance and Reliability (1 paper) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Hardware and Architecture (178 citations), Computer Networks and Communications (225 citations), Information Systems (58 citations), Computer Graphics and Computer-Aided Design (1 citation) and Philosophy (3 citations). Wayne Sawdon has collaborated with scholars based in United States. Frequent co-authors include Matthew J. Zekauskas, Brian N. Bershad, Roger Haskin, Dean Daniels, Heiko Ludwig, Mohamed Mohamed, R. Engel and Ling Liu. Their work appears in journals such as ACM SIGOPS Operating Systems Review, Operating Systems Design and Implementation and Defense Technical Information Center (DTIC).
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.