Jaime Geisel
Impact in
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- Digital Radiography and Breast Imaging
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 8
- Global Cancer Incidence and Screening 5
- Cancer Risks and Factors 2
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- Digital Radiography and Breast Imaging 7
- Co-authors
- Liane E. Philpotts (9 shared papers)Regina J. Hooley (6 shared papers)Madhavi Raghu (5 shared papers)Reni Butler (4 shared papers)Melissa A. Durand (4 shared papers)Brian M. Haas (3 shared papers)Vivek B. Kalra (2 shared papers)Laura J. Horvath (2 shared papers)
- Journals
- Radiology (5 papers)American Journal of Roentgenology (2 papers)Seminars in Ultrasound CT and MRI (1 paper)The Breast Journal (1 paper)Current Breast Cancer Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Jaime Geisel
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 54
- Pulmonary and Respiratory Medicine 675
- Radiology, Nuclear Medicine and Imaging 461
- Artificial Intelligence 591
- Oncology 475
- Pathology and Forensic Medicine 275
Countries citing papers authored by Jaime Geisel
This map shows the geographic impact of Jaime Geisel'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 Jaime Geisel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Geisel more than expected).
Fields of papers citing papers by Jaime Geisel
This network shows the impact of papers produced by Jaime Geisel. 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 Jaime Geisel. The network helps show where Jaime Geisel may publish in the future.
Co-authors
The 15 scholars most cited alongside Jaime Geisel, 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 | 2013 | 323 | |
| 2 | 2012 | 312 | |
| 3 | 2014 | 142 | |
| 4 | 2017 | 100 | |
| 5 | 2013 | 81 | |
| 6 | 2013 | 77 | |
| 7 | 2016 | 48 | |
| 8 | 2013 | 9 | |
| 9 | 2016 | 2 | |
| 10 | 2014 | 2 |
About Jaime Geisel
Jaime Geisel is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (7 papers), AI in cancer detection (6 papers), Global Cancer Incidence and Screening (5 papers), Breast Lesions and Carcinomas (4 papers), Cancer Risks and Factors (2 papers), Breast Cancer Treatment Studies (1 paper), Medical Imaging Techniques and Applications (1 paper) and Histiocytic Disorders and Treatments (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (675 citations), Radiology, Nuclear Medicine and Imaging (461 citations), Artificial Intelligence (591 citations), Oncology (475 citations) and Pathology and Forensic Medicine (275 citations). Jaime Geisel has collaborated with scholars based in United States. Frequent co-authors include Liane E. Philpotts, Regina J. Hooley, Madhavi Raghu, Reni Butler, Melissa A. Durand, Brian M. Haas, Vivek B. Kalra, Laura J. Horvath, Xiaopan Yao and Mark Michalski. Their work appears in journals such as Radiology, American Journal of Roentgenology, Seminars in Ultrasound CT and MRI, The Breast Journal and Current Breast Cancer Reports.
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.