Dave Pearson

482 citations
9 papers · 359 · h-index 5

Impact in

Papers in

Dave Pearson

7 papers receiving 325 citations

Peers

Dave Pearson
Comparison fields: 5 of 36
  • Computer Networks and Communications 262
  • Information Systems and Management 30
  • Information Systems 61
  • Health Information Management 17
  • Geology 12
Replace Amy Krause with:
Amy Krause United Kingdom
James Magowan United Kingdom
Daniel Mallmann Germany
Michael Wan United States
X.S. Wang United States
Sergio Andreozzi Italy
Kasidit Chanchio United States
Jeff LeFevre United States
Tiziana Ferrari Italy
Do Thi Thu Hien Vietnam
Dave Pearson relative to Amy Krause United Kingdom Amy Krause's profile →
Citations per field
00.5×1.5×
Amy Krause · 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 200624
5 200422
6
The derivation and use of control curves for the regional allocation of water resources
19823
7 19811
8 20031
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, Ocean Engineering, Information Systems, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 359 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Water resources management and optimization (2 papers) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Computer Networks and Communications (262 citations), Information Systems and Management (30 citations), Information Systems (61 citations), Health Information Management (17 citations) and Geology (12 citations). Dave Pearson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Norman W. Paton, Paul Watson, Malcolm Atkinson, Amy Krause, Mario Antonioletti, Inderpal S. Narang, Alastair C. Hume, James Magowan, Alan J. Knox and Martin Westhead. 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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