W. A. Coberly

27 total papers · 923 total citations
15 papers, 714 citations indexed

About

W. A. Coberly is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, W. A. Coberly has authored 15 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in W. A. Coberly's work include Spectroscopy and Chemometric Analyses (3 papers), Face and Expression Recognition (3 papers) and Bayesian Methods and Mixture Models (2 papers). W. A. Coberly is often cited by papers focused on Spectroscopy and Chemometric Analyses (3 papers), Face and Expression Recognition (3 papers) and Bayesian Methods and Mixture Models (2 papers). W. A. Coberly collaborates with scholars based in United States. W. A. Coberly's co-authors include R. D. Strattan, S.M.S. Jalaleddine, C. Hutchens, David W. Moore, Z. Schmidt, James P. Brill, Charles M. Peters, Dean M. Young, J. D. Tubbs and Patrick L. Odell and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Biomedical Engineering and Pattern Recognition.

In The Last Decade

W. A. Coberly

14 papers receiving 655 citations

Hit Papers

ECG data compression tech... 1990 2026 2002 2014 1990 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
W. A. Coberly 490 433 298 159 60 15 714
Binwei Weng 482 1.0× 205 0.5× 249 0.8× 133 0.8× 7 0.1× 15 827
C. Hutchens 501 1.0× 425 1.0× 293 1.0× 134 0.8× 5 0.1× 26 689
Muqing Deng 142 0.3× 232 0.5× 121 0.4× 200 1.3× 8 0.1× 31 760
Hossein Mamaghanian 277 0.6× 505 1.2× 225 0.8× 89 0.6× 7 0.1× 13 763
Felipe Alonso‐Atienza 486 1.0× 129 0.3× 61 0.2× 41 0.3× 8 0.1× 35 705
M. Bilginer Gülmezoğlu 359 0.7× 200 0.5× 100 0.3× 186 1.2× 2 0.0× 29 726
Kalyan Pathapati Subbu 85 0.2× 124 0.3× 122 0.4× 126 0.8× 214 3.6× 19 746
E. Hari Krishna 522 1.1× 636 1.5× 43 0.1× 29 0.2× 5 0.1× 47 855
R. Curwen 44 0.1× 70 0.2× 55 0.2× 542 3.4× 90 1.5× 13 843
Arash Gharehbaghi 412 0.8× 108 0.2× 129 0.4× 20 0.1× 12 0.2× 27 720

Countries citing papers authored by W. A. Coberly

Since Specialization
Citations

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

Fields of papers citing papers by W. A. Coberly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. A. Coberly

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