G.E. Pound

442 citations
21 papers · 340 · h-index 10

Impact in

Papers in

G.E. Pound

19 papers receiving 315 citations

Peers

G.E. Pound
Comparison fields: 5 of 58
  • Information Systems and Management 57
  • Genetics 130
  • Ecology, Evolution, Behavior and Systematics 91
  • Hardware and Architecture 33
  • Computer Networks and Communications 96
Replace Richard J. White with:
Richard J. White United Kingdom
David Hart United States
Miquel A. Senar Spain
Greg Riccardi United States
Matt D. Massie United States
Edward Oakes United States
Andrew Taylor Australia
Andreas Müller Germany
Julio Castillo Chile
Jérôme Legrand France
G.E. Pound relative to Richard J. White United Kingdom Richard J. White's profile →
Citations per field
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Citations per year

Countries citing papers authored by G.E. Pound

Since Specialization
Citations

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

Fields of papers citing papers by G.E. Pound

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.E. Pound. 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 G.E. Pound. The network helps show where G.E. Pound may publish in the future.

Co-authors

The 21 scholars most cited alongside G.E. Pound, 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 G.E. Pound Line = papers co-authored together G.E. Pound links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000120
2 200447
3 200432
4 200228
5 200317
6 200314
7
Grid Enabled Optimisation and Design Search (Geodise)
200214
8 200614
9 200313
10 20069
11 20049
12 20037
13
Tuning GENIE earth system model components using a Grid enabled data management system
20045
14 20034
15
Applying the Semantic Web to Manage Knowledge on the Grid
20042
16
User Deployment of Grid Toolkits to Engineers
20042
17
The Geodise project: making the Grid usable through Matlab
20051
18 20031
19
Grid middleware for engineering design search and optimisation
20031
20 20200

About G.E. Pound

G.E. Pound is a scholar working on Computer Networks and Communications, Information Systems and Management, Hardware and Architecture, Artificial Intelligence and Computational Mechanics, having authored 21 papers that have together received 340 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (16 papers), Scientific Computing and Data Management (10 papers), Parallel Computing and Optimization Techniques (7 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Evolution and Genetic Dynamics (3 papers), Plant and animal studies (2 papers), Advanced Computational Techniques and Applications (2 papers) and Reservoir Engineering and Simulation Methods (2 papers). The work is most often cited by research in Information Systems and Management (57 citations), Genetics (130 citations), Ecology, Evolution, Behavior and Systematics (91 citations), Hardware and Architecture (33 citations) and Computer Networks and Communications (96 citations). G.E. Pound has collaborated with scholars based in United Kingdom. Frequent co-authors include Simón Cox, C. Patrick Doncaster, Andy J. Keane, Hakki Eres, Andrew Price, Tim Lenton, Wenbin Song, Ivan Voutchkov, Daniel J. Lunt and Neil R. Edwards. Their work appears in journals such as Nature, Future Generation Computer Systems, Journal of Evolutionary Biology, Journal of Theoretical Biology and Journal of Animal Ecology.

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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