G.E. Pound

15 papers receiving 246 citations

Peers

G.E. Pound
Comparison fields: 5 of 57
  • Information Systems and Management 33
  • Ecology, Evolution, Behavior and Systematics 87
  • Genetics 118
  • Nature and Landscape Conservation 34
  • Computer Networks and Communications 55
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Greg Riccardi United States
Richard J. White United Kingdom
Éamonn Ó Tuama United Kingdom
Miquel A. Senar Spain
Roger Hyam United Kingdom
Béatrice Frank Belgium
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Jason Price United States
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David M. Kidd United Kingdom
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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 20 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

17 of 17 papers shown
#Work
1 2000111
2 200437
3 200429
4 200225
5 200315
6 200614
7
Grid Enabled Optimisation and Design Search (Geodise)
200210
8 20067
9 20047
10
Tuning GENIE earth system model components using a Grid enabled data management system
20044
11
Applying the Semantic Web to Manage Knowledge on the Grid
20042
12
User Deployment of Grid Toolkits to Engineers
20042
13
The Geodise project: making the Grid usable through Matlab
20051
14 20031
15
Grid middleware for engineering design search and optimisation
20031
16 20200
17
GeodiseLab: Making the Grid Usable
20050

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 Genetics, having authored 17 papers that have together received 266 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (12 papers), Scientific Computing and Data Management (8 papers), Parallel Computing and Optimization Techniques (4 papers), Evolution and Genetic Dynamics (3 papers), Plant and animal studies (2 papers), Advanced Computational Techniques and Applications (2 papers), Reservoir Engineering and Simulation Methods (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Information Systems and Management (33 citations), Ecology, Evolution, Behavior and Systematics (87 citations), Genetics (118 citations), Nature and Landscape Conservation (34 citations) and Computer Networks and Communications (55 citations). G.E. Pound has collaborated with scholars based in United Kingdom. Frequent co-authors include Simón Cox, C. Patrick Doncaster, Hakki Eres, Andy J. Keane, Tim Lenton, Andrew Price, Ivan Voutchkov, Neil R. Edwards, Paul J. Valdes and Andrew Yool. Their work appears in journals such as Journal of Animal Ecology, Future Generation Computer Systems, Journal of Evolutionary Biology, Nature and Journal of Theoretical Biology.

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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