David M. Pooley

11 total papers · 444 total citations
7 papers, 234 citations indexed

About

David M. Pooley is a scholar working on Finance, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, David M. Pooley has authored 7 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Finance, 3 papers in Electrical and Electronic Engineering and 3 papers in Biomedical Engineering. Recurrent topics in David M. Pooley's work include Advancements in Semiconductor Devices and Circuit Design (3 papers), Stochastic processes and financial applications (3 papers) and Nanowire Synthesis and Applications (3 papers). David M. Pooley is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (3 papers), Stochastic processes and financial applications (3 papers) and Nanowire Synthesis and Applications (3 papers). David M. Pooley collaborates with scholars based in Canada and United Kingdom. David M. Pooley's co-authors include Peter Forsyth, Kenneth R. Vetzal, Kazuhiko Nakazato, H. Ahmed, Hiroshi Mizuta, Mark Fitzgerald, Christian Cumbaa, Celine Latulipe, Robin Cohen and Bowen Hui and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and User Modeling and User-Adapted Interaction.

In The Last Decade

David M. Pooley

7 papers receiving 206 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David M. Pooley 152 67 38 31 24 7 234
João Saúde 170 1.1× 15 0.2× 7 0.2× 105 3.4× 11 0.5× 6 264
Ola Skavhaug 131 0.9× 88 1.3× 46 1.2× 22 0.7× 2 0.1× 14 250
Situ Rong 235 1.5× 24 0.4× 12 0.3× 30 1.0× 5 0.2× 13 311
Omar El Euch 304 2.0× 12 0.2× 10 0.3× 113 3.6× 3 0.1× 5 324
Spassimir H. Paskov 73 0.5× 238 3.6× 41 1.1× 11 0.4× 10 0.4× 6 320
Jianqiu Lu 71 0.5× 14 0.2× 5 0.1× 5 0.2× 13 0.5× 13 321
Karel in ’t Hout 69 0.5× 83 1.2× 23 0.6× 10 0.3× 1 0.0× 10 133
Zhuliang Chen 150 1.0× 10 0.1× 5 0.1× 112 3.6× 11 0.5× 7 251
Ali Hirsa 135 0.9× 13 0.2× 4 0.1× 36 1.2× 2 0.1× 14 167
E. Lenglart 63 0.4× 6 0.1× 5 0.1× 17 0.5× 16 0.7× 6 164

Countries citing papers authored by David M. Pooley

Since Specialization
Citations

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

Fields of papers citing papers by David M. Pooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Pooley

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Pooley. A scholar is included among the top collaborators of David M. Pooley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David M. Pooley. David M. Pooley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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