Andrew Colucci
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Radiology practices and education
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 1
- Surgery 2
- Surgical Simulation and Training 1
- Co-authors
- William F. Auffermann (3 shared papers)Akash P. Kansagra (2 shared papers)Nadja Kadom (1 shared paper)Morgan P. McBee (1 shared paper)Omer A. Awan (1 shared paper)Comeron W. Ghobadi (1 shared paper)Srini Tridandapani (1 shared paper)Rathan M. Subramaniam (4 shared papers)
- Journals
- Academic Radiology (5 papers)Digestive and Liver Disease (1 paper)Clinical Nuclear Medicine (1 paper)Imaging in Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Andrew Colucci
8 papers receiving 369 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Health Informatics 74
- Radiology, Nuclear Medicine and Imaging 227
- Neurology 27
- Otorhinolaryngology 12
- Artificial Intelligence 84
Countries citing papers authored by Andrew Colucci
This map shows the geographic impact of Andrew Colucci'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 Andrew Colucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Colucci more than expected).
Fields of papers citing papers by Andrew Colucci
This network shows the impact of papers produced by Andrew Colucci. 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 Andrew Colucci. The network helps show where Andrew Colucci may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Colucci, 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 | Deep Learning in Radiology Hit paper breakdown → | 2018 | 329 |
| 2 | 2014 | 14 | |
| 3 | 2014 | 13 | |
| 4 | 2013 | 10 | |
| 5 | 2013 | 8 | |
| 6 | 2013 | 4 | |
| 7 | 2009 | 1 | |
| 8 | 2014 | 1 |
About Andrew Colucci
Andrew Colucci is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Health, having authored 8 papers that have together received 380 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Brain Metastases and Treatment (1 paper), Health Literacy and Information Accessibility (1 paper), Medical Imaging Techniques and Applications (1 paper), Digital Radiography and Breast Imaging (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Health and Medical Research Impacts (1 paper) and Surgical Simulation and Training (1 paper). The work is most often cited by research in Health Informatics (74 citations), Radiology, Nuclear Medicine and Imaging (227 citations), Neurology (27 citations), Otorhinolaryngology (12 citations) and Artificial Intelligence (84 citations). Andrew Colucci has collaborated with scholars based in United States. Frequent co-authors include William F. Auffermann, Akash P. Kansagra, Nadja Kadom, Morgan P. McBee, Omer A. Awan, Comeron W. Ghobadi, Srini Tridandapani, Rathan M. Subramaniam, Ankit Agarwal and Ashesh A. Thaker. Their work appears in journals such as Academic Radiology, Digestive and Liver Disease, Clinical Nuclear Medicine and Imaging in Medicine.
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.