Dave Pearson
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
Papers in ⓘ
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- Scientific Computing and Data Management 3
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 1
- Distributed systems and fault tolerance 1
- Peer-to-Peer Network Technologies 1
- Co-authors
- Norman W. Paton (4 shared papers)Malcolm Atkinson (3 shared papers)Paul Watson (2 shared papers)Mario Antonioletti (3 shared papers)Amy Krause (2 shared papers)Simon M. Laws (3 shared papers)Neil Chue Hong (1 shared paper)Tom Sugden (1 shared paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Dave Pearson
6 papers receiving 224 citations
Peers
Comparison fields: 5 of 42
- Information Systems and Management 115
- Computer Networks and Communications 209
- Hardware and Architecture 40
- Information Systems 75
- Signal Processing 13
Countries citing papers authored by Dave Pearson
This map shows the geographic impact of Dave Pearson'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 Dave Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Pearson more than expected).
Fields of papers citing papers by Dave Pearson
This network shows the impact of papers produced by Dave Pearson. 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 Dave Pearson. The network helps show where Dave Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave Pearson, 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 | 2005 | 183 | |
| 2 | The Grid 2: Blueprint for a New Computing Infrastructure (2nd edition), | 2003 | 30 |
| 3 | Grid Database Access and Integration: Requirements and Functionalities | 2003 | 17 |
| 4 | 2006 | 16 | |
| 5 | The derivation and use of control curves for the regional allocation of water resources | 1982 | 2 |
| 6 | 2003 | 1 | |
| 7 | Web Services Data Access and Integration – The Core (WS-DAI) Specification | 2012 | 0 |
About Dave Pearson
Dave Pearson is a scholar working on Information Systems and Management, Computer Networks and Communications, Hardware and Architecture, Information Systems and Ecology, having authored 7 papers that have together received 249 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (3 papers), Advanced Data Storage Technologies (1 paper), Parallel Computing and Optimization Techniques (1 paper), Distributed systems and fault tolerance (1 paper), Computational Physics and Python Applications (1 paper), Peer-to-Peer Network Technologies (1 paper) and Water Resources and Management (1 paper). The work is most often cited by research in Information Systems and Management (115 citations), Computer Networks and Communications (209 citations), Hardware and Architecture (40 citations), Information Systems (75 citations) and Signal Processing (13 citations). Dave Pearson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Norman W. Paton, Malcolm Atkinson, Paul Watson, Mario Antonioletti, Amy Krause, Simon M. Laws, Neil Chue Hong, Tom Sugden, Martin Westhead and Rob Baxter. Their work appears in journals such as ACM SIGMOD Record and Concurrency and Computation Practice and Experience.
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.