Gregory W. Cook

54 total papers · 427 total citations
36 papers, 272 citations indexed

About

Gregory W. Cook is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Gregory W. Cook has authored 36 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 16 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Gregory W. Cook's work include Advanced Data Compression Techniques (14 papers), Video Coding and Compression Technologies (14 papers) and Image and Signal Denoising Methods (7 papers). Gregory W. Cook is often cited by papers focused on Advanced Data Compression Techniques (14 papers), Video Coding and Compression Technologies (14 papers) and Image and Signal Denoising Methods (7 papers). Gregory W. Cook collaborates with scholars based in United States, Spain and United Kingdom. Gregory W. Cook's co-authors include Edward J. Delp, Josep Prades-Nebot, D. F. Kerridge, Carrie L. Phillips, Kenneth W. Dunn, Adele J. Filson, Paul A. Overbeek, Robert L. Bacallao, Jeffrey L. Clendenon and Jens Nürnberger and has published in prestigious journals such as Biometrics, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Gregory W. Cook

35 papers receiving 249 citations

Author Peers

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

Author Last Decade Papers Cites
Gregory W. Cook 133 69 55 52 38 36 272
Xiping He 105 0.8× 120 1.7× 17 0.3× 59 1.1× 40 1.1× 34 290
Wen‐Shiung Chen 150 1.1× 155 2.2× 12 0.2× 13 0.3× 32 0.8× 32 322
Chang Su 73 0.5× 55 0.8× 34 0.6× 18 0.3× 21 0.6× 38 324
V. Fotopoulos 206 1.5× 31 0.4× 15 0.3× 10 0.2× 21 0.6× 41 296
M. Razaz 47 0.4× 24 0.3× 90 1.6× 9 0.2× 53 1.4× 33 300
Dong‐Gi Lee 42 0.3× 12 0.2× 45 0.8× 10 0.2× 45 1.2× 33 248
T. Krishnan 47 0.4× 35 0.5× 26 0.5× 29 0.6× 32 0.8× 27 299
Sharlee Climer 67 0.5× 18 0.3× 75 1.4× 60 1.2× 2 0.1× 31 319
David Jaz Myers 41 0.3× 29 0.4× 26 0.5× 8 0.2× 47 1.2× 23 251
Benyong Liu 92 0.7× 67 1.0× 17 0.3× 5 0.1× 42 1.1× 48 299

Countries citing papers authored by Gregory W. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Gregory W. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory W. Cook. 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 Gregory W. Cook. The network helps show where Gregory W. Cook may publish in the future.

Co-authorship network of co-authors of Gregory W. Cook

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory W. Cook. A scholar is included among the top collaborators of Gregory W. Cook 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 Gregory W. Cook. Gregory W. Cook 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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