Dan Reed
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Scientific Computing and Data Management
Papers in
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- Advanced Data Storage Technologies 6
- Distributed and Parallel Computing Systems 6
- Distributed systems and fault tolerance 2
- Caching and Content Delivery 1
- Peer-to-Peer Network Technologies 1
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- Ken Kennedy (2 shared papers)Ian Foster (2 shared papers)Linda Torczon (2 shared papers)Keith D. Cooper (2 shared papers)Andrew A. Chien (2 shared papers)Carl Kesselman (1 shared paper)Francine Berman (1 shared paper)Jack Dongarra (1 shared paper)
- Journals
- Journal of Internet Services and Applications (1 paper)The International Journal of High Performance Computing Applications (1 paper)Conference on High Performance Computing (Supercomputing) (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Dan Reed
8 papers receiving 306 citations
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 182
- Information Systems and Management 99
- Computer Networks and Communications 317
- Information Systems 129
- Artificial Intelligence 25
Countries citing papers authored by Dan Reed
This map shows the geographic impact of Dan Reed'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 Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Reed more than expected).
Fields of papers citing papers by Dan Reed
This network shows the impact of papers produced by Dan Reed. 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 Reed. The network helps show where Dan Reed may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Reed, 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 | 2001 | 218 | |
| 2 | 2002 | 60 | |
| 3 | 2003 | 51 | |
| 4 | 2011 | 7 | |
| 5 | 2003 | 5 | |
| 6 | 1992 | 3 | |
| 7 | 1995 | 3 | |
| 8 | 2005 | 1 | |
| 9 | 2005 | 0 |
About Dan Reed
Dan Reed is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Information Systems and Management and Infectious Diseases, having authored 9 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (6 papers), Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers), Distributed systems and fault tolerance (2 papers), Scientific Computing and Data Management (2 papers), Cloud Computing and Resource Management (2 papers), Caching and Content Delivery (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (182 citations), Information Systems and Management (99 citations), Computer Networks and Communications (317 citations), Information Systems (129 citations) and Artificial Intelligence (25 citations). Dan Reed has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Ken Kennedy, Ian Foster, Linda Torczon, Keith D. Cooper, Andrew A. Chien, Carl Kesselman, Francine Berman, Jack Dongarra, Dennis Gannon and Rich Wolski. Their work appears in journals such as Journal of Internet Services and Applications, The International Journal of High Performance Computing Applications and Conference on High Performance Computing (Supercomputing).
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.