Matthew Field

36 papers and 599 indexed citations i.

About

Matthew Field is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Matthew Field has authored 36 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 13 papers in Artificial Intelligence. Recurrent topics in Matthew Field’s work include Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (13 papers) and AI in cancer detection (9 papers). Matthew Field is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Lung Cancer Diagnosis and Treatment (13 papers) and AI in cancer detection (9 papers). Matthew Field collaborates with scholars based in Australia, United States and United Kingdom. Matthew Field's co-authors include David Stirling, Lois Holloway, Fazel Naghdy, Zengxi Pan, Montserrat Ros, Martin Carolan, Shalini Vinod, Michael Jameson, Andrew Miller and Alanna Vial and has published in prestigious journals such as Medical Physics, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Matthew Field i

Fields of papers citing papers by Matthew Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Field

Since Specialization
Citations

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