C.A. Segall

14 papers and 510 indexed citations i.

About

C.A. Segall is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, C.A. Segall has authored 14 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Computational Mechanics. Recurrent topics in C.A. Segall’s work include Image and Signal Denoising Methods (11 papers), Advanced Image Processing Techniques (8 papers) and Advanced Vision and Imaging (8 papers). C.A. Segall is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Advanced Image Processing Techniques (8 papers) and Advanced Vision and Imaging (8 papers). C.A. Segall collaborates with scholars based in United States, South Korea and Spain. C.A. Segall's co-authors include Gary J. Sullivan, Aggelos K. Katsaggelos, Rafael Molina, Ying Chen, Jens-Rainer Ohm, Anthony Vetro, Jill M. Boyce, Javier Mateos, Moon Gi Kang and Seong Chan Park and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of C.A. Segall i

Fields of papers citing papers by C.A. Segall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.A. Segall. 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 C.A. Segall. The network helps show where C.A. Segall may publish in the future.

Countries citing papers authored by C.A. Segall

Since Specialization
Citations

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