Joel Rosenberg
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
Papers in
-
- Prostate Cancer Diagnosis and Treatment 8
- Renal cell carcinoma treatment 3
- Vascular Procedures and Complications 1
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Philipp Dahm (7 shared papers)Jae Hung Jung (6 shared papers)Caitlin Bakker (6 shared papers)Solam Lee (4 shared papers)Christopher Weight (6 shared papers)Sean McSweeney (5 shared papers)Paul Blake (4 shared papers)Arveen Kalapara (5 shared papers)
- Journals
- The Journal of Urology (5 papers)Cochrane Database of Systematic Reviews (4 papers)British Journal of Urology (3 papers)Journal of Endourology (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Joel Rosenberg
21 papers receiving 291 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 36
- Pulmonary and Respiratory Medicine 135
- Urology 22
- Rheumatology 31
- General Dentistry 3
Countries citing papers authored by Joel Rosenberg
This map shows the geographic impact of Joel Rosenberg'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 Joel Rosenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Rosenberg more than expected).
Fields of papers citing papers by Joel Rosenberg
This network shows the impact of papers produced by Joel Rosenberg. 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 Joel Rosenberg. The network helps show where Joel Rosenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Joel Rosenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2020 | 46 | |
| 3 | 2020 | 41 | |
| 4 | 2018 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 1996 | 18 | |
| 7 | 2021 | 14 | |
| 8 | 1973 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 1971 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2021 | 1 |
About Joel Rosenberg
Joel Rosenberg is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Rheumatology and Biomedical Engineering, having authored 22 papers that have together received 301 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Renal cell carcinoma treatment (3 papers), Urologic and reproductive health conditions (3 papers), Surgical Simulation and Training (2 papers), Advanced X-ray and CT Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Vascular Procedures and Complications (1 paper). The work is most often cited by research in Health Informatics (36 citations), Pulmonary and Respiratory Medicine (135 citations), Urology (22 citations), Rheumatology (31 citations) and General Dentistry (3 citations). Joel Rosenberg has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Philipp Dahm, Jae Hung Jung, Caitlin Bakker, Solam Lee, Christopher Weight, Sean McSweeney, Paul Blake, Arveen Kalapara, Ranveer Vasdev and Resha Tejpaul. Their work appears in journals such as The Journal of Urology, Cochrane Database of Systematic Reviews, British Journal of Urology, Journal of Endourology and Journal of Clinical Oncology.
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.