Samuel G. Armato

168 papers and 4.7k indexed citations i.

About

Samuel G. Armato is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Samuel G. Armato has authored 168 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Radiology, Nuclear Medicine and Imaging, 111 papers in Pulmonary and Respiratory Medicine and 33 papers in Artificial Intelligence. Recurrent topics in Samuel G. Armato’s work include Radiomics and Machine Learning in Medical Imaging (90 papers), Lung Cancer Diagnosis and Treatment (53 papers) and Occupational and environmental lung diseases (48 papers). Samuel G. Armato is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (90 papers), Lung Cancer Diagnosis and Treatment (53 papers) and Occupational and environmental lung diseases (48 papers). Samuel G. Armato collaborates with scholars based in United States, Australia and United Kingdom. Samuel G. Armato's co-authors include Heber MacMahon, Maryellen L. Giger, Kunio Doi, Feng Li, William F. Sensakovic, Shusuke Sone, Hedy L. Kindler, Heber MacMahon, Hania Al‐Hallaq and Anna K. Nowak and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and CHEST Journal.

In The Last Decade

Co-authorship network of co-authors of Samuel G. Armato i

Fields of papers citing papers by Samuel G. Armato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samuel G. Armato

Since Specialization
Citations

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