Keelin Murphy

36 papers and 4.0k indexed citations i.

About

Keelin Murphy is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Keelin Murphy has authored 36 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 8 papers in Artificial Intelligence. Recurrent topics in Keelin Murphy’s work include Radiomics and Machine Learning in Medical Imaging (18 papers), COVID-19 diagnosis using AI (18 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Keelin Murphy is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), COVID-19 diagnosis using AI (18 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Keelin Murphy collaborates with scholars based in The Netherlands, United States and Germany. Keelin Murphy's co-authors include Josien P. W. Pluim, Stefan Klein, Marius Staring, Max A. Viergever, Bram van Ginneken, Mathias Prokop, Hester A. Gietema, Erdi Çallı, Ecem Sogancioglu and Kicky G. van Leeuwen and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Keelin Murphy i

Fields of papers citing papers by Keelin Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keelin Murphy

Since Specialization
Citations

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