Katherine Hewitt

33 papers and 891 indexed citations i.

About

Katherine Hewitt is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Katherine Hewitt has authored 33 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Katherine Hewitt’s work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Colorectal Cancer Screening and Detection (4 papers). Katherine Hewitt is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Colorectal Cancer Screening and Detection (4 papers). Katherine Hewitt collaborates with scholars based in United Kingdom, Germany and United States. Katherine Hewitt's co-authors include Nasir Rajpoot, Marianna Gaça, Linsey E. Haswell, David Thorne, Audrey Richter, Dale Corbett, David Snead, Paul Morley, Roger Tremblay and Jakob Nikolas Kather and has published in prestigious journals such as Nature Communications, American Journal of Psychiatry and Stroke.

In The Last Decade

Co-authorship network of co-authors of Katherine Hewitt i

Fields of papers citing papers by Katherine Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katherine Hewitt

Since Specialization
Citations

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