P.E. Undrill

29 papers and 574 indexed citations i.

About

P.E. Undrill is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, P.E. Undrill has authored 29 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in P.E. Undrill’s work include Medical Image Segmentation Techniques (8 papers), Medical Imaging Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). P.E. Undrill is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Medical Imaging Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). P.E. Undrill collaborates with scholars based in United Kingdom, United States and Belgium. P.E. Undrill's co-authors include J.S. Gregory, G. Gordon Cameron, R.M. Aspden, Michael J. Cree, Peter F. Sharp, John A. Olson, John V. Forrester, K C McHardy, Konstantinos K. Delibasis and Thomas W. Redpath and has published in prestigious journals such as Clinical Chemistry, Physics in Medicine and Biology and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of P.E. Undrill i

Fields of papers citing papers by P.E. Undrill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.E. Undrill. 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 P.E. Undrill. The network helps show where P.E. Undrill may publish in the future.

Countries citing papers authored by P.E. Undrill

Since Specialization
Citations

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