Mary L. Comer

103 total papers · 1.2k total citations
80 papers, 795 citations indexed

About

Mary L. Comer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mary L. Comer has authored 80 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 17 papers in Artificial Intelligence. Recurrent topics in Mary L. Comer's work include Advanced Data Compression Techniques (25 papers), Video Coding and Compression Technologies (20 papers) and Medical Image Segmentation Techniques (13 papers). Mary L. Comer is often cited by papers focused on Advanced Data Compression Techniques (25 papers), Video Coding and Compression Technologies (20 papers) and Medical Image Segmentation Techniques (13 papers). Mary L. Comer collaborates with scholars based in United States, Taiwan and Qatar. Mary L. Comer's co-authors include Edward J. Delp, Jeff Simmons, Marc De Graef, Richard H. Foster, Sriram Baireddy, Rong Zhang, Michael D. Uchic, Charles A. Bouman, Rong Zhang and J. E. Spowart and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Signal Processing Magazine and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Mary L. Comer

75 papers receiving 745 citations

Author Peers

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

Author Last Decade Papers Cites
Mary L. Comer 431 154 153 114 53 80 795
Sukhendu Das 549 1.3× 168 1.1× 212 1.4× 166 1.5× 46 0.9× 92 1.0k
Xiaofeng Wang 424 1.0× 124 0.8× 134 0.9× 53 0.5× 32 0.6× 98 801
T. Kaneko 295 0.7× 92 0.6× 83 0.5× 98 0.9× 41 0.8× 50 789
T.R. Reed 643 1.5× 109 0.7× 196 1.3× 95 0.8× 24 0.5× 52 992
Susanta Mukhopadhyay 615 1.4× 99 0.6× 267 1.7× 81 0.7× 30 0.6× 88 1.0k
Jianfeng Li 364 0.8× 130 0.8× 80 0.5× 35 0.3× 94 1.8× 73 774
Bo Li 429 1.0× 83 0.5× 132 0.9× 52 0.5× 39 0.7× 55 1.0k
Jizhou Sun 337 0.8× 139 0.9× 126 0.8× 104 0.9× 16 0.3× 130 986
Wei Shi 500 1.2× 145 0.9× 93 0.6× 118 1.0× 32 0.6× 61 916
Chunling Yang 453 1.1× 74 0.5× 222 1.5× 68 0.6× 47 0.9× 88 758

Countries citing papers authored by Mary L. Comer

Since Specialization
Citations

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

Fields of papers citing papers by Mary L. Comer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary L. Comer. 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 Mary L. Comer. The network helps show where Mary L. Comer may publish in the future.

Co-authorship network of co-authors of Mary L. Comer

This figure shows the co-authorship network connecting the top 25 collaborators of Mary L. Comer. A scholar is included among the top collaborators of Mary L. Comer 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 Mary L. Comer. Mary L. Comer 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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