Jinman Kim

212 papers and 3.9k indexed citations i.

About

Jinman Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jinman Kim has authored 212 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 71 papers in Artificial Intelligence and 70 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jinman Kim’s work include AI in cancer detection (44 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Medical Image Segmentation Techniques (36 papers). Jinman Kim is often cited by papers focused on AI in cancer detection (44 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Medical Image Segmentation Techniques (36 papers). Jinman Kim collaborates with scholars based in Australia, China and Hong Kong. Jinman Kim's co-authors include Dagan Feng, Michael Fulham, Ashnil Kumar, Lei Bi, Euijoon Ahn, Usman Naseem, Matloob Khushi, Weidong Cai, Dagan Feng and Ping Li and has published in prestigious journals such as Nature Communications, NeuroImage and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by Jinman Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jinman Kim

Since Specialization
Citations

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