Ramón Correa
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 17
- MRI in cancer diagnosis 5
- Genetics 10
- Glioma Diagnosis and Treatment 10
- Co-authors
- Pallavi Tiwari (13 shared papers)Virginia Hill (7 shared papers)Niha Beig (9 shared papers)Anant Madabhushi (11 shared papers)Kaustav Bera (8 shared papers)Manmeet S. Ahluwalia (5 shared papers)Prateek Prasanna (7 shared papers)Volodymyr Statsevych (7 shared papers)
- Journals
- Radiology Artificial Intelligence (2 papers)Scientific Reports (2 papers)American Journal of Neuroradiology (2 papers)Pediatric Transplantation (2 papers)Neuro-Oncology (2 papers)
- Partner nations
- United StatesCanadaChile
In The Last Decade
Ramón Correa
27 papers receiving 518 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 32
- Genetics 198
- Radiology, Nuclear Medicine and Imaging 372
- Neurology 42
- Structural Biology 5
Countries citing papers authored by Ramón Correa
This map shows the geographic impact of Ramón Correa'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 Ramón Correa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramón Correa more than expected).
Fields of papers citing papers by Ramón Correa
This network shows the impact of papers produced by Ramón Correa. 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 Ramón Correa. The network helps show where Ramón Correa may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramón Correa, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 114 | |
| 2 | 2020 | 92 | |
| 3 | 2018 | 74 | |
| 4 | 2020 | 49 | |
| 5 | 2023 | 38 | |
| 6 | 2020 | 28 | |
| 7 | 2008 | 23 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 15 | |
| 10 | 2010 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2015 | 8 | |
| 14 | [Acute anemia, rectorrhagia and hematuria caused by ingestion of naproxen]. | 1989 | 6 |
| 15 | 2022 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 3 | |
| 19 | [Gallbladder polyps. 2d Consensus Workshop of the Chilean Hepatology Association]. | 1994 | 3 |
| 20 | 2024 | 2 |
About Ramón Correa
Ramón Correa is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Artificial Intelligence, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 526 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (17 papers), Glioma Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Advanced X-ray and CT Imaging (4 papers), AI in cancer detection (4 papers), Brain Tumor Detection and Classification (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Health Informatics (32 citations), Genetics (198 citations), Radiology, Nuclear Medicine and Imaging (372 citations), Neurology (42 citations) and Structural Biology (5 citations). Ramón Correa has collaborated with scholars based in United States, Canada and Chile. Frequent co-authors include Pallavi Tiwari, Virginia Hill, Niha Beig, Anant Madabhushi, Kaustav Bera, Manmeet S. Ahluwalia, Prateek Prasanna, Volodymyr Statsevych, Vinay Varadan and Ruchika Verma. Their work appears in journals such as Radiology Artificial Intelligence, Scientific Reports, American Journal of Neuroradiology, Pediatric Transplantation and Neuro-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.