Peter M. Dew

64 papers receiving 483 citations

Peers

Peter M. Dew
Comparison fields: 5 of 95
  • Numerical Analysis 99
  • Computer Graphics and Computer-Aided Design 37
  • Industrial and Manufacturing Engineering 78
  • Hardware and Architecture 48
  • Human-Computer Interaction 39
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Graham Horton Germany
John Darzentas Greece
Chen United States
C. Fornaro Italy
Allen Klinger United States
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Citations per year

Countries citing papers authored by Peter M. Dew

Since Specialization
Citations

This map shows the geographic impact of Peter M. Dew'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 Peter M. Dew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Dew more than expected).

Fields of papers citing papers by Peter M. Dew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Dew. 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 Peter M. Dew. The network helps show where Peter M. Dew may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter M. Dew, 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 Peter M. Dew Line = papers co-authored together Peter M. Dew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198966
2 198850
3 198134
4 199133
5 199130
6 199827
7 200224
8
Adaptive Grid Resource Brokering
200318
9 199318
10 198415
11 200015
12 199314
13 200213
14
Abstract machine models for highly parallel computers
199512
15
Constraint-based 3D manipulation techniques within virtual environments
199511
16
3D Parallel Mesh Adaptivity: Data-Structures and Algorithms.
199710
17 200510
18 199410
19 200410
20 19998

About Peter M. Dew

Peter M. Dew is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Computational Mechanics and Artificial Intelligence, having authored 78 papers that have together received 573 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (19 papers), Parallel Computing and Optimization Techniques (11 papers), Manufacturing Process and Optimization (7 papers), Numerical methods for differential equations (7 papers), Cloud Computing and Resource Management (6 papers), Distributed systems and fault tolerance (6 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Numerical Analysis (99 citations), Computer Graphics and Computer-Aided Design (37 citations), Industrial and Manufacturing Engineering (78 citations), Hardware and Architecture (48 citations) and Human-Computer Interaction (39 citations). Peter M. Dew has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Martin Berzins, Terrence Fernando, R.M. Furzeland, John E. Walsh, Karim Djemame, J. D. Lawson, Michael J. Wozny, Tosiyasu L. Kunii, Henry Fuchs and Rae Earnshaw. Their work appears in journals such as ACM Transactions on Mathematical Software, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, IMA Journal of Numerical Analysis, SAE technical papers on CD-ROM/SAE technical paper series and International Journal for Numerical Methods in Engineering.

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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