Karen Panetta

6.5k total citations · 2 hit papers
194 papers, 4.7k citations indexed

About

Karen Panetta is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Karen Panetta has authored 194 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Computer Vision and Pattern Recognition, 46 papers in Media Technology and 27 papers in Artificial Intelligence. Recurrent topics in Karen Panetta's work include Image Enhancement Techniques (69 papers), Image and Signal Denoising Methods (50 papers) and Advanced Image Fusion Techniques (35 papers). Karen Panetta is often cited by papers focused on Image Enhancement Techniques (69 papers), Image and Signal Denoising Methods (50 papers) and Advanced Image Fusion Techniques (35 papers). Karen Panetta collaborates with scholars based in United States, Macao and France. Karen Panetta's co-authors include Sos С. Agaian, Chen Gao, Yicong Zhou, E. J. Wharton, Artyom M. Grigoryan, C. L. Philip Chen, Rahul Rajendran, Shishir Paramathma Rao, Hongwei Jia and Long Bao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Karen Panetta

184 papers receiving 4.5k citations

Hit Papers

Human-Visual-System-Inspired Underwater Image Qual... 2007 2026 2013 2019 2015 2007 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Human-Visual-System-Inspired Underwater Image Quality Measures
    2015 1.1k citations Karen Panetta, Sos С. Agaian et al. profile →
  2. Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy
    2007 423 citations Sos С. Agaian, Karen Panetta et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karen Panetta United States 28 4.0k 1.6k 387 310 273 194 4.7k
Joonki Paik South Korea 33 3.7k 0.9× 1.6k 1.0× 271 0.7× 243 0.8× 280 1.0× 411 4.6k
Chi–Keung Tang Hong Kong 44 6.1k 1.5× 1.1k 0.7× 588 1.5× 274 0.9× 167 0.6× 122 7.0k
Yuming Fang China 45 6.9k 1.7× 2.7k 1.7× 512 1.3× 329 1.1× 282 1.0× 272 7.6k
Raimondo Schettini Italy 33 3.7k 0.9× 1.0k 0.7× 507 1.3× 921 3.0× 343 1.3× 275 5.1k
Yu Li China 36 4.9k 1.2× 1.9k 1.2× 667 1.7× 207 0.7× 353 1.3× 150 6.4k
Kede Ma Hong Kong 31 6.1k 1.5× 3.2k 2.1× 220 0.6× 303 1.0× 392 1.4× 67 6.7k
A. Mittal United States 4 7.3k 1.8× 3.7k 2.3× 192 0.5× 477 1.5× 419 1.5× 7 8.1k
Xueyang Fu China 39 6.7k 1.7× 3.7k 2.3× 215 0.6× 259 0.8× 471 1.7× 116 7.5k
Xianming Liu China 35 3.2k 0.8× 1.3k 0.8× 531 1.4× 112 0.4× 212 0.8× 198 4.1k
Deqing Sun United States 29 4.4k 1.1× 1.4k 0.9× 458 1.2× 81 0.3× 188 0.7× 53 5.0k

Countries citing papers authored by Karen Panetta

Since Specialization
Citations

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

Fields of papers citing papers by Karen Panetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Panetta

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Panetta. A scholar is included among the top collaborators of Karen Panetta 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 Karen Panetta. Karen Panetta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Rao, Shishir Paramathma, et al.. (2023). Gaze depth estimation for eye-tracking systems. 1 indexed citations
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Roberts, Susan B., Rachel Silver, Sai Krupa Das, et al.. (2021). Healthy Aging—Nutrition Matters: Start Early and Screen Often. Advances in Nutrition. 12(4). 1438–1448. 66 indexed citations
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Panetta, Karen, et al.. (2019). Color Theme--based Aesthetic Enhancement Algorithm to Emulate the Human Perception of Beauty in Photos. ACM Transactions on Multimedia Computing Communications and Applications. 15(2s). 1–17. 6 indexed citations
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Panetta, Karen, Sos С. Agaian, Rahul Rajendran, et al.. (2018). A Comprehensive Database for Benchmarking Imaging Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(3). 509–520. 114 indexed citations
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Panetta, Karen, et al.. (2018). A Robust No-Reference, No-Parameter, Transform Domain Image Quality Metric for Evaluating the Quality of Color Images. IEEE Access. 6. 10979–10985. 27 indexed citations
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Panetta, Karen, et al.. (2014). Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images. International Journal of Biomedical Imaging. 2014. 1–8. 42 indexed citations
11.
Panetta, Karen, et al.. (2012). A multi-scale non-local means algorithm for image de-noising. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8406. 84060J–84060J. 8 indexed citations
12.
Panetta, Karen, Yicong Zhou, Sos С. Agaian, & Hongwei Jia. (2011). Nonlinear Unsharp Masking for Mammogram Enhancement. IEEE Transactions on Information Technology in Biomedicine. 15(6). 918–928. 152 indexed citations
13.
Zhou, Yicong, Karen Panetta, & Sos С. Agaian. (2009). A lossless encryption method for medical images using edge maps. PubMed. 2009. 3707–3710. 29 indexed citations
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Zhou, Yicong, Karen Panetta, & Sos С. Agaian. (2009). Mammogram enhancement using alpha weighted quadratic filter. PubMed. 2009. 3681–3684. 14 indexed citations
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Panetta, Karen, E. J. Wharton, & Sos С. Agaian. (2008). Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(1). 174–188. 196 indexed citations
16.
Wharton, E. J., Karen Panetta, & Sos С. Agaian. (2008). Edge preserving image enhancement using anisotropic diffusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6812. 681218–681218. 3 indexed citations
17.
Panetta, Karen, et al.. (2007). Quantifying image similarity using measure of enhancement by entropy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6579. 65790U–65790U. 64 indexed citations
18.
Agaian, Sos С., et al.. (2007). Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy. IEEE Transactions on Image Processing. 16(3). 741–758. 423 indexed citations breakdown →
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Panetta, Karen, et al.. (2003). Transform-based image compression by noise reduction and spatial modification using Boolean minimization. 4 indexed citations
20.
Agaian, Sos С., Karen Panetta, & Artyom M. Grigoryan. (2001). Transform-based image enhancement algorithms with performance measure. IEEE Transactions on Image Processing. 10(3). 367–382. 303 indexed citations

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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