G. V. Wheeler

29 total papers · 496 total citations
15 papers, 309 citations indexed

About

G. V. Wheeler is a scholar working on Biomedical Engineering, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, G. V. Wheeler has authored 15 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in G. V. Wheeler's work include Face recognition and analysis (3 papers), Anatomy and Medical Technology (3 papers) and Face and Expression Recognition (3 papers). G. V. Wheeler is often cited by papers focused on Face recognition and analysis (3 papers), Anatomy and Medical Technology (3 papers) and Face and Expression Recognition (3 papers). G. V. Wheeler collaborates with scholars based in United Kingdom, France and United States. G. V. Wheeler's co-authors include T.F. Cootes, Chris Taylor, Kevin Walker, Karen Walker, W. A. Ryder, L. Chinsky, John Simpson, Shujie Deng, Alain Laigle and Kuberan Pushparajah and has published in prestigious journals such as Image and Vision Computing, Applied Spectroscopy and Journal of Biomolecular Structure and Dynamics.

In The Last Decade

G. V. Wheeler

15 papers receiving 284 citations

Author Peers

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

Author Last Decade Papers Cites
G. V. Wheeler 253 47 23 19 16 15 309
Xiaohu Shao 280 1.1× 123 2.6× 16 0.7× 10 0.5× 9 0.6× 17 334
Joan Alabort-i-Medina 261 1.0× 70 1.5× 11 0.5× 41 2.2× 3 0.2× 10 289
Zhiheng Niu 252 1.0× 79 1.7× 10 0.4× 14 0.7× 60 3.8× 17 320
Shiri Gordon 119 0.5× 12 0.3× 22 1.0× 4 0.2× 3 0.2× 14 257
Timothy C. Faltemier 332 1.3× 163 3.5× 9 0.4× 24 1.3× 7 0.4× 11 346
Virginia Espinosa-Duró 165 0.7× 112 2.4× 16 0.7× 4 0.2× 9 0.6× 15 251
Shengye Yan 224 0.9× 29 0.6× 7 0.3× 13 0.7× 59 3.7× 15 269
Xinpeng Ding 214 0.8× 12 0.3× 49 2.1× 7 0.4× 17 1.1× 19 326
Chenghua Xu 270 1.1× 136 2.9× 10 0.4× 25 1.3× 5 0.3× 16 307
Frederick W. Wheeler 211 0.8× 76 1.6× 16 0.7× 18 0.9× 5 0.3× 19 271

Countries citing papers authored by G. V. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by G. V. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. V. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of G. V. Wheeler. A scholar is included among the top collaborators of G. V. Wheeler 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 G. V. Wheeler. G. V. Wheeler 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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