Katherine E. Link
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Brain Metastases and Treatment 3
- Lung Cancer Diagnosis and Treatment 1
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Harold Persky (1 shared paper)Marvin Zuckerman (1 shared paper)Timothy Deyer (1 shared paper)Philip M. Robson (1 shared paper)Zahi A. Fayad (1 shared paper)Zelong Liu (1 shared paper)Adam Jacobi (1 shared paper)Yang Yang (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Radiology Artificial Intelligence (1 paper)Radiology (1 paper)Telemedicine Journal and e-Health (1 paper)Journal of Abnormal Psychology (1 paper)
- Partner nations
- United StatesPakistan
In The Last Decade
Katherine E. Link
9 papers receiving 250 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 101
- Experimental and Cognitive Psychology 42
- Applied Psychology 13
- Neurology 17
Countries citing papers authored by Katherine E. Link
This map shows the geographic impact of Katherine E. Link'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 Katherine E. Link with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine E. Link more than expected).
Fields of papers citing papers by Katherine E. Link
This network shows the impact of papers produced by Katherine E. Link. 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 Katherine E. Link. The network helps show where Katherine E. Link may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine E. Link, 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 | 2022 | 149 | |
| 2 | 1968 | 55 | |
| 3 | 2019 | 31 | |
| 4 | 2021 | 10 | |
| 5 | 2025 | 8 | |
| 6 | 2016 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2016 | 2 | |
| 9 | 2017 | 1 |
About Katherine E. Link
Katherine E. Link is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Oncology and Health Informatics, having authored 9 papers that have together received 265 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Brain Metastases and Treatment (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper), Long-Term Effects of COVID-19 (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (101 citations), Experimental and Cognitive Psychology (42 citations), Applied Psychology (13 citations) and Neurology (17 citations). Katherine E. Link has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Harold Persky, Marvin Zuckerman, Timothy Deyer, Philip M. Robson, Zahi A. Fayad, Zelong Liu, Adam Jacobi, Yang Yang, Hayit Greenspan and Mingqian Huang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiology Artificial Intelligence, Radiology, Telemedicine Journal and e-Health and Journal of Abnormal 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.