Averi E. Kitsch
Impact in
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
-
- Breast Lesions and Carcinomas
Papers in
-
- MRI in cancer diagnosis 6
- Advanced Neuroimaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 2
-
- Neonatal and fetal brain pathology 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 D. Lehman (3 shared papers)Mitchell D. Schnall (1 shared paper)Diana L. Lam (2 shared papers)Zheng Zhang (1 shared paper)
- Journals
- Journal of Computer Assisted Tomography (2 papers)Clinical Cancer Research (1 paper)Radiology (1 paper)NeuroImage (1 paper)Arthritis Care & Research (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Averi E. Kitsch
9 papers receiving 428 citations
Peers
Comparison fields: 5 of 41
- Radiology, Nuclear Medicine and Imaging 393
- Pathology and Forensic Medicine 62
- Cancer Research 35
- Artificial Intelligence 33
- Pediatrics, Perinatology and Child Health 17
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 | 2016 | 248 | |
| 2 | 2019 | 91 | |
| 3 | 2017 | 20 | |
| 4 | 2017 | 17 | |
| 5 | 2015 | 17 | |
| 6 | 2016 | 12 | |
| 7 | 2018 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2014 | 4 |
About Averi E. Kitsch
Averi E. Kitsch is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition, Surgery and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 431 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced MRI Techniques and Applications (2 papers), Medical Image Segmentation Techniques (2 papers), Neonatal and fetal brain pathology (2 papers), Spondyloarthritis Studies and Treatments (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (393 citations), Pathology and Forensic Medicine (62 citations), Cancer Research (35 citations), Artificial Intelligence (33 citations) and Pediatrics, Perinatology and Child Health (17 citations). Averi E. Kitsch has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Savannah C. Partridge, Habib Rahbar, Noam Nissan, Eric E. Sigmund, Constance D. Lehman, Mitchell D. Schnall, Diana L. Lam, Zheng Zhang, Elizabeth S. McDonald and Wendy B. DeMartini. Their work appears in journals such as Journal of Computer Assisted Tomography, Clinical Cancer Research, Radiology, NeuroImage and Arthritis Care & Research.
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.