William Lotter

15 papers and 542 indexed citations i.

About

William Lotter is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Informatics. According to data from OpenAlex, William Lotter has authored 15 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Health Informatics. Recurrent topics in William Lotter’s work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (7 papers) and Artificial Intelligence in Healthcare and Education (5 papers). William Lotter is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (7 papers) and Artificial Intelligence in Healthcare and Education (5 papers). William Lotter collaborates with scholars based in United States, Australia and Italy. William Lotter's co-authors include David Cox, Gabriel Kreiman, A. Gregory Sorensen, Jiye G. Kim, Jerrold L. Boxerman, Eric Q. Wu, Jorge Onieva Onieva, Gopal R. Vijayaraghavan, Meiyun Wang and Giorgia Grisot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of William Lotter i

Fields of papers citing papers by William Lotter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by William Lotter

Since Specialization
Citations

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