Berk Norman
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Osteoarthritis Treatment and Mechanisms 6
- Rheumatoid Arthritis Research and Therapies 2
- Surgery 3
- Knee injuries and reconstruction techniques 3
- Co-authors
- Sharmila Majumdar (7 shared papers)Valentina Pedoia (7 shared papers)Thomas M. Link (3 shared papers)Thomas M. Link (2 shared papers)Matthew D. Bucknor (1 shared paper)Jinwoo Lee (1 shared paper)Peter Eklund (1 shared paper)Michaël J. A. Girard (1 shared paper)
- Journals
- Osteoarthritis and Cartilage (4 papers)Journal of Digital Imaging (1 paper)Radiology (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Berk Norman
8 papers receiving 586 citations
Berk Norman's Hit Papers
Peers
Comparison fields: 5 of 86
- Health Informatics 54
- Rheumatology 272
- Radiology, Nuclear Medicine and Imaging 209
- Orthopedics and Sports Medicine 43
- Complementary and alternative medicine 40
Countries citing papers authored by Berk Norman
This map shows the geographic impact of Berk Norman'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 Berk Norman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berk Norman more than expected).
Fields of papers citing papers by Berk Norman
This network shows the impact of papers produced by Berk Norman. 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 Berk Norman. The network helps show where Berk Norman may publish in the future.
Co-authors
The 8 scholars most cited alongside Berk Norman, 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 | Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry Hit paper breakdown → | 2018 | 284 |
| 2 | 2018 | 116 | |
| 3 | 2018 | 111 | |
| 4 | 2019 | 73 | |
| 5 | 2002 | 8 | |
| 6 | 2018 | 3 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 1 |
About Berk Norman
Berk Norman is a scholar working on Rheumatology, Surgery, Computer Vision and Pattern Recognition, Biomedical Engineering and Media Technology, having authored 8 papers that have together received 599 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Knee injuries and reconstruction techniques (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Digital Imaging for Blood Diseases (1 paper), Remote-Sensing Image Classification (1 paper), Face and Expression Recognition (1 paper), Image Retrieval and Classification Techniques (1 paper) and Welding Techniques and Residual Stresses (1 paper). The work is most often cited by research in Health Informatics (54 citations), Rheumatology (272 citations), Radiology, Nuclear Medicine and Imaging (209 citations), Orthopedics and Sports Medicine (43 citations) and Complementary and alternative medicine (40 citations). Berk Norman has collaborated with scholars based in United States and Australia. Frequent co-authors include Sharmila Majumdar, Valentina Pedoia, Thomas M. Link, Thomas M. Link, Matthew D. Bucknor, Jinwoo Lee, Peter Eklund and Michaël J. A. Girard. Their work appears in journals such as Osteoarthritis and Cartilage, Journal of Digital Imaging, Radiology 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.