Averi E. Kitsch
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
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- Breast Lesions and Carcinomas
Papers in
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- MRI in cancer diagnosis 8
- Infrared Thermography in Medicine 1
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- Medical Image Segmentation Techniques 2
- Co-authors
- Savannah C. Partridge (7 shared papers)Habib Rahbar (6 shared papers)Noam Nissan (1 shared paper)Eric E. Sigmund (1 shared paper)Constance Dobbins Lehman (3 shared papers)Diana L. Lam (2 shared papers)Bonnie N. Joe (1 shared paper)Thomas L. Chenevert (1 shared paper)
- Journals
- Radiology (2 papers)Journal of Computer Assisted Tomography (2 papers)Clinical Cancer Research (1 paper)Arthritis Care & Research (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Averi E. Kitsch
11 papers receiving 532 citations
Averi E. Kitsch's Hit Papers
Peers
Comparison fields: 5 of 30
- Radiology, Nuclear Medicine and Imaging 474
- Pathology and Forensic Medicine 23
- Health Informatics 3
- Pulmonary and Respiratory Medicine 29
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Averi E. Kitsch
This map shows the geographic impact of Averi E. Kitsch'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 Averi E. Kitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Averi E. Kitsch more than expected).
Fields of papers citing papers by Averi E. Kitsch
This network shows the impact of papers produced by Averi E. Kitsch. 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 Averi E. Kitsch. The network helps show where Averi E. Kitsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Averi E. Kitsch, 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 | Diffusion-weighted breast MRI: Clinical applications and emerging techniques Hit paper breakdown → | 2016 | 278 |
| 2 | 2019 | 108 | |
| 3 | 2020 | 34 | |
| 4 | 2017 | 31 | |
| 5 | 2015 | 20 | |
| 6 | 2017 | 19 | |
| 7 | 2016 | 15 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2014 | 3 |
About Averi E. Kitsch
Averi E. Kitsch is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 11 papers that have together received 544 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Medical Image Segmentation Techniques (2 papers) and Infrared Thermography in Medicine (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (474 citations), Pathology and Forensic Medicine (23 citations), Health Informatics (3 citations), Pulmonary and Respiratory Medicine (29 citations) and Computer Vision and Pattern Recognition (19 citations). Averi E. Kitsch has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Savannah C. Partridge, Habib Rahbar, Noam Nissan, Eric E. Sigmund, Constance Dobbins Lehman, Diana L. Lam, Bonnie N. Joe, Thomas L. Chenevert, Daniel S. Hippe and Justin Romanoff. Their work appears in journals such as Radiology, Journal of Computer Assisted Tomography, Clinical Cancer Research, Arthritis Care & Research and Journal of Magnetic Resonance Imaging.
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.