Matthew G. Hanna

67 papers and 18.5k indexed citations i.

About

Matthew G. Hanna is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Matthew G. Hanna has authored 67 papers receiving a total of 18.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 17 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Oncology. Recurrent topics in Matthew G. Hanna’s work include AI in cancer detection (45 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Cell Image Analysis Techniques (14 papers). Matthew G. Hanna is often cited by papers focused on AI in cancer detection (45 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Cell Image Analysis Techniques (14 papers). Matthew G. Hanna collaborates with scholars based in United States, Australia and China. Matthew G. Hanna's co-authors include Aaron McKenna, Andrey Sivachenko, Mark J. Daly, Mark A. DePristo, Eric Banks, Kristian Cibulskis, Stacey Gabriel, Kiran Garimella, Andrew Kernytsky and David Altshuler and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Co-authorship network of co-authors of Matthew G. Hanna i

Fields of papers citing papers by Matthew G. Hanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew G. Hanna

Since Specialization
Citations

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