Noel Codella
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
Papers in ⓘ
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- Cardiac Imaging and Diagnostics 17
- Advanced MRI Techniques and Applications 11
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- Advanced Image and Video Retrieval Techniques 7
- Multimodal Machine Learning Applications 6
- Image Retrieval and Classification Techniques 5
- Co-authors
- Allan C. Halpern (10 shared papers)M. Emre Celebi (4 shared papers)Jonathan W. Weinsaft (15 shared papers)Martin R. Prince (11 shared papers)Harald Kittler (5 shared papers)Josep Malvehy (6 shared papers)H. Peter Soyer (4 shared papers)Philipp Tschandl (4 shared papers)
- Journals
- Journal of Cardiovascular Magnetic Resonance (6 papers)Journal of the American Academy of Dermatology (2 papers)Nature Medicine (2 papers)Journal of Hypertension (2 papers)IBM Journal of Research and Development (2 papers)
- Partner nations
- United StatesSpainAustria
In The Last Decade
Noel Codella
42 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Health Informatics 208
- Oncology 846
- Radiology, Nuclear Medicine and Imaging 705
- Artificial Intelligence 883
- Biophysics 126
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 46 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 | 514 |
| 2 | 2017 | 212 | |
| 3 | 2019 | 130 | |
| 4 | 2015 | 125 | |
| 5 | 2018 | 125 | |
| 6 | 2010 | 103 | |
| 7 | 2009 | 94 | |
| 8 | 2021 | 94 | |
| 9 | 2009 | 78 | |
| 10 | 2022 | 74 | |
| 11 | 2019 | 63 | |
| 12 | 2019 | 62 | |
| 13 | 2008 | 61 | |
| 14 | 2008 | 52 | |
| 15 | 2019 | 52 | |
| 16 | 2023 | 50 | |
| 17 | 2010 | 46 | |
| 18 | 2011 | 40 | |
| 19 | 2024 | 36 | |
| 20 | 2015 | 27 |
About Noel Codella
Noel Codella is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Oncology, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (17 papers), AI in cancer detection (11 papers), Advanced MRI Techniques and Applications (11 papers), Cardiovascular Function and Risk Factors (11 papers), Cutaneous Melanoma Detection and Management (10 papers), Advanced Image and Video Retrieval Techniques (7 papers), Multimodal Machine Learning Applications (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Health Informatics (208 citations), Oncology (846 citations), Radiology, Nuclear Medicine and Imaging (705 citations), Artificial Intelligence (883 citations) and Biophysics (126 citations). Noel Codella has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Allan C. Halpern, M. Emre Celebi, Jonathan W. Weinsaft, Martin R. Prince, Harald Kittler, Josep Malvehy, H. Peter Soyer, Philipp Tschandl, Matthew D. Cham and Brian Helba. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Journal of the American Academy of Dermatology, Nature Medicine, Journal of Hypertension and IBM Journal of Research and Development.
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.