Karen Panetta

112 papers and 3.1k indexed citations i.

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 112 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computer Vision and Pattern Recognition, 28 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Karen Panetta’s work include Image Enhancement Techniques (45 papers), Image and Signal Denoising Methods (36 papers) and Advanced Image Fusion Techniques (22 papers). Karen Panetta is often cited by papers focused on Image Enhancement Techniques (45 papers), Image and Signal Denoising Methods (36 papers) and Advanced Image Fusion Techniques (22 papers). Karen Panetta collaborates with scholars based in United States, Macao and China. Karen Panetta's co-authors include Sos С. Agaian, Chen Gao, Yicong Zhou, E. J. Wharton, Artyom M. Grigoryan, Shahan Nercessian, C. L. Philip Chen, Hongwei Jia, Long Bao and Srijith Rajeev and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Co-authorship network of co-authors of Karen Panetta i

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.

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).

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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2025