Eric Kim
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Health 4
- Health disparities and outcomes 4
- Co-authors
- Andy TanTian Ran LinLinda MoyCharles RosenbergJure LeskovecJulian McAuleyWang-Cheng KangStacey Wolfson
- Journals
- Radiology (5 papers)Health Psychology (2 papers)Proceedings of the VLDB Endowment (1 paper)Journal of the American Chemical Society (1 paper)The Journal of Positive Psychology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Eric Kim
27 papers receiving 317 citations
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 86
- Computer Vision and Pattern Recognition 58
- Control and Systems Engineering 64
- Artificial Intelligence 83
- Computational Mathematics 1
Countries citing papers authored by Eric Kim
This map shows the geographic impact of Eric 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 Eric Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Kim more than expected).
Fields of papers citing papers by Eric Kim
This network shows the impact of papers produced by Eric 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 Eric Kim. The network helps show where Eric Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 0 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 25 | |
| 14 | 2018 | 6 | |
| 15 | 2018 | 53 | |
| 16 | 2017 | 13 | |
| 17 | 2016 | 19 | |
| 18 | Improved Support for Machine-assisted Ballot-level Audits | 2013 | 1 |
| 19 | 2013 | 2 | |
| 20 | An analysis of write-in marks on optical scan ballots | 2011 | 2 |
About Eric Kim
Eric Kim is a scholar working on Neuropsychology and Physiological Psychology, Health, General Materials Science, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 324 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Psychological Well-being and Life Satisfaction (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Health disparities and outcomes (4 papers), Medical Imaging Techniques and Applications (3 papers), Lymphadenopathy Diagnosis and Analysis (3 papers), Digital Media Forensic Detection (3 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (86 citations), Computer Vision and Pattern Recognition (58 citations), Control and Systems Engineering (64 citations), Artificial Intelligence (83 citations) and Computational Mathematics (1 citation). Eric Kim has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Andy Tan, Tian Ran Lin, Linda Moy, Charles Rosenberg, Jure Leskovec, Julian McAuley, Wang-Cheng Kang, Stacey Wolfson, Amy N. Melsaether and Deborah Axelrod. Their work appears in journals such as Radiology, Health Psychology, Proceedings of the VLDB Endowment, Journal of the American Chemical Society and The Journal of Positive Psychology.
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.