William R. Poller

22 papers and 1.9k indexed citations i.

About

William R. Poller is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, William R. Poller has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Oncology. Recurrent topics in William R. Poller’s work include AI in cancer detection (11 papers), Breast Cancer Treatment Studies (7 papers) and Breast Lesions and Carcinomas (7 papers). William R. Poller is often cited by papers focused on AI in cancer detection (11 papers), Breast Cancer Treatment Studies (7 papers) and Breast Lesions and Carcinomas (7 papers). William R. Poller collaborates with scholars based in United States. William R. Poller's co-authors include Edwin R. Fisher, Nikolay Dimitrov, Eleftherios P. Mamounas, Joseph P. Costantino, Maureen Kavanah, Richard G. Margolese, Bernard Fisher, Melvin Deutsch, D. Lawrence Wickerham and Norman Wolmark and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Co-authorship network of co-authors of William R. Poller i

Fields of papers citing papers by William R. Poller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Poller. 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 William R. Poller. The network helps show where William R. Poller may publish in the future.

Countries citing papers authored by William R. Poller

Since Specialization
Citations

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