Nicholas Petrick
Impact in
- Health Informatics top 0.5%
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 91
- Medical Imaging Techniques and Applications 33
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- AI in cancer detection 87
- Co-authors
- Berkman Sahiner (135 shared papers)Heang‐Ping Chan (73 shared papers)Mark A. Helvie (49 shared papers)Lubomir M. Hadjiiski (36 shared papers)Mitchell M. Goodsitt (21 shared papers)Dorit D. Adler (19 shared papers)Datong Wei (11 shared papers)Weijie Chen (13 shared papers)
- Journals
- Medical Physics (34 papers)Academic Radiology (17 papers)Radiology (9 papers)IEEE Transactions on Nuclear Science (8 papers)IEEE Transactions on Medical Imaging (8 papers)
- Partner nations
- United StatesThailandCanada
In The Last Decade
Nicholas Petrick
219 papers receiving 6.2k citations
Nicholas Petrick's Hit Papers
Peers
Comparison fields: 5 of 154
- Health Informatics 188
- Radiology, Nuclear Medicine and Imaging 2.8k
- Artificial Intelligence 3.1k
- Computer Vision and Pattern Recognition 1.4k
- Pulmonary and Respiratory Medicine 1.4k
Countries citing papers authored by Nicholas Petrick
This map shows the geographic impact of Nicholas Petrick'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 Nicholas Petrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Petrick more than expected).
Fields of papers citing papers by Nicholas Petrick
This network shows the impact of papers produced by Nicholas Petrick. 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 Nicholas Petrick. The network helps show where Nicholas Petrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Petrick, 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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 310 | |
| 2 | 2014 | 290 | |
| 3 | 2014 | 282 | |
| 4 | 2002 | 224 | |
| 5 | 1999 | 188 | |
| 6 | 1995 | 157 | |
| 7 | 1998 | 155 | |
| 8 | 1998 | 154 | |
| 9 | 2001 | 152 | |
| 10 | 1996 | 149 | |
| 11 | 2001 | 136 | |
| 12 | 2001 | 131 | |
| 13 | 2018 | 130 | |
| 14 | 2009 | 126 | |
| 15 | 1999 | 120 | |
| 16 | 1996 | 105 | |
| 17 | 2000 | 105 | |
| 18 | Data drift in medical machine learning: implications and potential remedies Hit paper breakdown → | 2023 | 101 |
| 19 | 1997 | 96 | |
| 20 | 2008 | 95 |
About Nicholas Petrick
Nicholas Petrick is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology and Computer Vision and Pattern Recognition, having authored 229 papers that have together received 6.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (91 papers), AI in cancer detection (87 papers), Colorectal Cancer Screening and Detection (42 papers), Lung Cancer Diagnosis and Treatment (34 papers), Medical Imaging Techniques and Applications (33 papers), Advanced X-ray and CT Imaging (15 papers), Medical Image Segmentation Techniques (12 papers) and Digital Radiography and Breast Imaging (11 papers). The work is most often cited by research in Health Informatics (188 citations), Radiology, Nuclear Medicine and Imaging (2.8k citations), Artificial Intelligence (3.1k citations), Computer Vision and Pattern Recognition (1.4k citations) and Pulmonary and Respiratory Medicine (1.4k citations). Nicholas Petrick has collaborated with scholars based in United States, Thailand and Canada. Frequent co-authors include Berkman Sahiner, Heang‐Ping Chan, Mark A. Helvie, Lubomir M. Hadjiiski, Mitchell M. Goodsitt, Dorit D. Adler, Datong Wei, Weijie Chen, Marios A. Gavrielides and Brandon D. Gallas. Their work appears in journals such as Medical Physics, Academic Radiology, Radiology, IEEE Transactions on Nuclear Science and IEEE Transactions on Medical Imaging.
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.