Linda S. DeBrunner

About

Linda S. DeBrunner is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Linda S. DeBrunner has authored 33 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Theory and Mathematics. Recurrent topics in Linda S. DeBrunner’s work include Digital Filter Design and Implementation (18 papers), Numerical Methods and Algorithms (11 papers) and Image and Signal Denoising Methods (11 papers). Linda S. DeBrunner is often cited by papers focused on Digital Filter Design and Implementation (18 papers), Numerical Methods and Algorithms (11 papers) and Image and Signal Denoising Methods (11 papers). Linda S. DeBrunner collaborates with scholars based in United States, Sweden and Finland. Linda S. DeBrunner's co-authors include Victor DeBrunner, Oscar Gustafsson, Håkan Johansson, Yunhua Wang, Joseph Havlicek, Dayong Zhou, Kirsty Ford, S. Radhakrishnan, Kenny Johansson and Visa Koivunen and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Communications Surveys & Tutorials and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of Linda S. DeBrunner i

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Fields of papers citing papers by Linda S. DeBrunner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda S. DeBrunner. 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 Linda S. DeBrunner. The network helps show where Linda S. DeBrunner may publish in the future.

Countries citing papers authored by Linda S. DeBrunner

Since Specialization

Citations

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