Lauren Kim

31 papers and 892 indexed citations i.

About

Lauren Kim is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lauren Kim has authored 31 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lauren Kim’s work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (7 papers) and COVID-19 diagnosis using AI (6 papers). Lauren Kim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (7 papers) and COVID-19 diagnosis using AI (6 papers). Lauren Kim collaborates with scholars based in United States, China and Australia. Lauren Kim's co-authors include Ronald M. Summers, Le Lü, Jianhua Yao, Ari Seff, Holger R. Roth, Jiamin Liu, Kevin M. Cherry, Chris H. Greene, Hoo-Chang Shin and Christopher T. Lee and has published in prestigious journals such as IEEE Transactions on Medical Imaging, American Heart Journal and Bone.

In The Last Decade

Co-authorship network of co-authors of Lauren Kim i

Fields of papers citing papers by Lauren Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lauren Kim

Since Specialization
Citations

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