Eric Kee

787 citations
14 papers · 541 indexed · h-index 11

Eric Kee

12 papers receiving 512 citations

Peers

Eric Kee
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 493
  • Media Technology 139
  • Biophysics 46
  • Law 72
  • Computer Graphics and Computer-Aided Design 16
Replace A. Swaminathan with:
A. Swaminathan United States
Paweł Korus Poland
Vijay H. Mankar India
Chiou-Ting Hsu Taiwan
Hae-Yeoun Lee South Korea
Dalton Meitei Thounaojam India
Nabil A. Lashin Egypt
Shuren Qi China
Yu-Feng Hsu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Eric Kee

Since Specialization
Citations

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

Fields of papers citing papers by Eric Kee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Kee. 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 Eric Kee. The network helps show where Eric Kee may publish in the future.

Co-authorship network

The 12 scholars most cited alongside Eric Kee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Kee Line = papers co-authored together Eric Kee links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20250
2 202316
3 201523
4 201457
5 201368
6 201154
7 201148
8 2011122
9 201082
10 201024
11
Detecting Photographic Composites of Famous People
20105
12 200829
13
Automated mosaicking of sub-canopy video incorporating ancillary data
20020
14
An adaptive genetic algorithm
200113

About Eric Kee

Eric Kee is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Law, Geology and Environmental Engineering, having authored 14 papers that have together received 541 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (4 papers), Image Processing Techniques and Applications (4 papers), Visual Attention and Saliency Detection (2 papers), Advanced Vision and Imaging (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Law in Society and Culture (2 papers) and Wood and Agarwood Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (493 citations), Media Technology (139 citations), Biophysics (46 citations), Law (72 citations) and Computer Graphics and Computer-Aided Design (16 citations). Eric Kee has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Hany Farid, James F. O’Brien, Micah K. Johnson, Sylvain Paris, Jue Wang, Simon Chen, Tiago Carvalho, Yağız Aksoy, Eli Shechtman and Zoya Bylinskii. Their work appears in journals such as ACM Transactions on Graphics, Proceedings of the National Academy of Sciences, IEEE Transactions on Information Forensics and Security, Genetic and Evolutionary Computation Conference and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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