Dave Pearson

485 citations
9 papers · 360 · h-index 5

Impact in

Papers in

Dave Pearson

7 papers receiving 323 citations

Peers

Dave Pearson
Comparison fields: 5 of 47
  • Information Systems and Management 169
  • Computer Networks and Communications 304
  • Hardware and Architecture 53
  • Information Systems 110
  • Signal Processing 23
Replace James Magowan with:
James Magowan United Kingdom
Tom Sugden United States
Amy Krause United Kingdom
Michael Wan United States
Kasidit Chanchio United States
Marko Niinimäki Finland
Dan Reed United States
Sergio Andreozzi Italy
Dietmar W. Erwin Germany
Daniel Mallmann Germany
Dave Pearson relative to James Magowan United Kingdom James Magowan's profile →
Citations per field
00.5×1.5×
James Magowan · 1×
Citations per year

Countries citing papers authored by Dave Pearson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dave Pearson Line = papers co-authored together Dave Pearson links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005245
2
The Grid 2: Blueprint for a New Computing Infrastructure (2nd edition),
200337
3
Grid Database Access and Integration: Requirements and Functionalities
200326
4 200625
5 200422
6
The derivation and use of control curves for the regional allocation of water resources
19823
7 20031
8 19811
9
Web Services Data Access and Integration – The Core (WS-DAI) Specification
20120

About Dave Pearson

Dave Pearson is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Ecology and Hardware and Architecture, having authored 9 papers that have together received 360 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (3 papers), Aquatic and Environmental Studies (1 paper), Water Resources and Management (1 paper), Distributed systems and fault tolerance (1 paper), Parallel Computing and Optimization Techniques (1 paper), Peer-to-Peer Network Technologies (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Information Systems and Management (169 citations), Computer Networks and Communications (304 citations), Hardware and Architecture (53 citations), Information Systems (110 citations) and Signal Processing (23 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, Amy Krause, Simon M. Laws, Mario Antonioletti, Inderpal Narang, Alan J. Knox, Tom Sugden and James Magowan. Their work appears in journals such as ACM SIGMOD Record, Concurrency and Computation Practice and Experience and Elsevier eBooks.

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.

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