Kjersti Engan

77 papers and 2.6k indexed citations i.

About

Kjersti Engan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Kjersti Engan has authored 77 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 25 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Artificial Intelligence. Recurrent topics in Kjersti Engan’s work include AI in cancer detection (17 papers), Cardiac Imaging and Diagnostics (12 papers) and Sparse and Compressive Sensing Techniques (10 papers). Kjersti Engan is often cited by papers focused on AI in cancer detection (17 papers), Cardiac Imaging and Diagnostics (12 papers) and Sparse and Compressive Sensing Techniques (10 papers). Kjersti Engan collaborates with scholars based in Norway, Spain and Tanzania. Kjersti Engan's co-authors include Bhaskar D. Rao, Kenneth Kreutz-Delgado, Shane F. Cotter, Karl Skretting, Terrence J. Sejnowski, Joseph F. Murray, John Håkon Husøy, Te-Won Lee, Sven Ole Aase and Jason Palmer and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Biomedical Engineering and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Kjersti Engan i

Fields of papers citing papers by Kjersti Engan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kjersti Engan

Since Specialization
Citations

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