Nathan Gaw

45 total papers · 1.3k total citations
16 papers, 464 citations indexed

About

Nathan Gaw is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Nathan Gaw has authored 16 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biomedical Engineering. Recurrent topics in Nathan Gaw’s work include AI in cancer detection (2 papers), Advanced X-ray and CT Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Nathan Gaw is often cited by papers focused on AI in cancer detection (2 papers), Advanced X-ray and CT Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Nathan Gaw collaborates with scholars based in United States, India and South Korea. Nathan Gaw's co-authors include Teresa Wu, Jing Li, Todd J. Schwedt, Yinlin Fu, Catherine D. Chong, Praveer Singh, Ken Chang, Jayashree Kalpathy–Cramer, Nishanth Arun and Katharina Hoebel and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Neuro-Oncology.

Co-authorship network of co-authors of Nathan Gaw

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Gaw. A scholar is included among the top collaborators of Nathan Gaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathan Gaw. Nathan Gaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Nathan Gaw

12 papers receiving 458 citations

Fields of papers citing papers by Nathan Gaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nathan Gaw

Since Specialization
Citations

This map shows the geographic impact of Nathan Gaw'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 Nathan Gaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Gaw 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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2026