Noel Codella
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Oncology top 2%
- Cutaneous Melanoma Detection and Management
Papers in
-
- AI in cancer detection 11
- Domain Adaptation and Few-Shot Learning 5
-
- Multimodal Machine Learning Applications 8
- Advanced Image and Video Retrieval Techniques 8
- Image Retrieval and Classification Techniques 5
- Co-authors
- Allan C. Halpern (13 shared papers)John R. Smith (9 shared papers)M. Emre Celebi (6 shared papers)Harald Kittler (5 shared papers)Jonathan W. Weinsaft (15 shared papers)Josep Malvehy (6 shared papers)Martin R. Prince (11 shared papers)Rahil Garnavi (2 shared papers)
- Journals
- Journal of Cardiovascular Magnetic Resonance (6 papers)Journal of Hypertension (2 papers)Journal of Magnetic Resonance Imaging (2 papers)IBM Journal of Research and Development (2 papers)Journal of the American Academy of Dermatology (2 papers)
- Partner nations
- United StatesAustriaSpain
In The Last Decade
Noel Codella
51 papers receiving 3.0k citations
Noel Codella's Hit Papers
Peers
Comparison fields: 5 of 139
- Health Informatics 224
- Oncology 1.3k
- Artificial Intelligence 1.3k
- Biophysics 172
- Radiology, Nuclear Medicine and Imaging 612
Countries citing papers authored by Noel Codella
This map shows the geographic impact of Noel Codella'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 Noel Codella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noel Codella more than expected).
Fields of papers citing papers by Noel Codella
This network shows the impact of papers produced by Noel Codella. 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 Noel Codella. The network helps show where Noel Codella may publish in the future.
Co-authors
The 25 scholars most cited alongside Noel Codella, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human–computer collaboration for skin cancer recognition Hit paper breakdown → | 2020 | 573 |
| 2 | 2015 | 300 | |
| 3 | 2017 | 238 | |
| 4 | 2020 | 212 | |
| 5 | 2018 | 157 | |
| 6 | 2019 | 146 | |
| 7 | 2015 | 133 | |
| 8 | 2021 | 105 | |
| 9 | 2010 | 104 | |
| 10 | 2009 | 100 | |
| 11 | 2022 | 87 | |
| 12 | 2009 | 79 | |
| 13 | 2019 | 68 | |
| 14 | 2019 | 66 | |
| 15 | 2008 | 62 | |
| 16 | 2019 | 60 | |
| 17 | 2023 | 57 | |
| 18 | 2020 | 57 | |
| 19 | 2008 | 54 | |
| 20 | 2024 | 48 |
About Noel Codella
Noel Codella is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (15 papers), AI in cancer detection (11 papers), Cardiac Imaging and Diagnostics (9 papers), Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Domain Adaptation and Few-Shot Learning (5 papers), Image Retrieval and Classification Techniques (5 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Health Informatics (224 citations), Oncology (1.3k citations), Artificial Intelligence (1.3k citations), Biophysics (172 citations) and Radiology, Nuclear Medicine and Imaging (612 citations). Noel Codella has collaborated with scholars based in United States, Austria and Spain. Frequent co-authors include Allan C. Halpern, John R. Smith, M. Emre Celebi, Harald Kittler, Jonathan W. Weinsaft, Josep Malvehy, Martin R. Prince, Rahil Garnavi, Philipp Tschandl and H. Peter Soyer. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Journal of Hypertension, Journal of Magnetic Resonance Imaging, IBM Journal of Research and Development and Journal of the American Academy of Dermatology.
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.