Evan W. Speight
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques 23
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- Advanced Data Storage Technologies 14
- Interconnection Networks and Systems 10
- Distributed and Parallel Computing Systems 6
- Distributed systems and fault tolerance 5
- Information Systems top 5%
- Cloud Computing and Resource Management 5
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- Gene expression and cancer classification 3
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- Evolutionary Algorithms and Applications 2
Evan W. Speight
24 papers receiving 963 citations
Peers
Comparison fields: 5 of 42
- Hardware and Architecture 792
- Computer Networks and Communications 820
- Electrical and Electronic Engineering 352
- Information Systems 124
- Atomic and Molecular Physics, and Optics 70
Countries citing papers authored by Evan W. Speight
This map shows the geographic impact of Evan W. Speight'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 Evan W. Speight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan W. Speight more than expected).
Fields of papers citing papers by Evan W. Speight
This network shows the impact of papers produced by Evan W. Speight. 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 Evan W. Speight. The network helps show where Evan W. Speight may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Evan W. Speight, 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 | Understanding System and Architecture for Big Data | 2012 | 7 |
| 2 | Understanding Systems and Architectures for Big Data | 2012 | 1 |
| 3 | 2010 | 28 | |
| 4 | 2009 | 84 | |
| 5 | 2009 | 258 | |
| 6 | 2009 | 64 | |
| 7 | 2009 | 67 | |
| 8 | 2008 | 26 | |
| 9 | 2005 | 46 | |
| 10 | 2005 | 36 | |
| 11 | 2004 | 120 | |
| 12 | 2004 | 0 | |
| 13 | 2004 | 13 | |
| 14 | 2004 | 1 | |
| 15 | 2002 | 10 | |
| 16 | WSDLite: a lightweight alternative to windows sockets direct path | 2000 | 3 |
| 17 | Efficient user-level thread migration and checkpointing on windows NT clusters | 1999 | 21 |
| 18 | 1999 | 31 | |
| 19 | An Integrated Shared-Memory / Message Passing API for Cluster-Based Multicomputing | 1998 | 5 |
| 20 | Brazos: a third generation DSM system | 1997 | 71 |
About Evan W. Speight
Evan W. Speight is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (23 papers), Advanced Data Storage Technologies (14 papers), Interconnection Networks and Systems (10 papers), Distributed and Parallel Computing Systems (6 papers), Cloud Computing and Resource Management (5 papers), Distributed systems and fault tolerance (5 papers), Gene expression and cancer classification (3 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (792 citations), Computer Networks and Communications (820 citations) and Electrical and Electronic Engineering (352 citations). Evan W. Speight has collaborated with scholars based in United States. Frequent co-authors include Ram Rajamony, Jian Li, Xiaoxia Wu, Yuan Xie, Lixin Zhang, John K. Bennett, Lixin Zhang, Hazim Shafi, Vipin Sachdeva and Michael Kistler. Their work appears in journals such as IEEE Transactions on Computers, Parallel Computing and ACM SIGMETRICS Performance Evaluation Review.
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.