Ildoo Kim

About

Ildoo Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Ildoo Kim has authored 3 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Ildoo Kim’s work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Ildoo Kim is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Ildoo Kim collaborates with scholars based in Japan, Germany and South Korea. Ildoo Kim's co-authors include Sungwoong Kim, Byungseok Roh, Taesup Kim, Sungbin Lim, Yeongjae Cheon, Minsu Cho and Wook-Shin Han and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Neural Information Processing Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

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

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Fields of papers citing papers by Ildoo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ildoo Kim

Since Specialization

Citations

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