Amber L. Simpson
Impact in
- Health Informatics top 2%
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 32
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- Anatomy and Medical Technology 11
- Co-authors
- Richard Kinh Gian (46 shared papers)William R. Jarnagin (48 shared papers)Michael I. Miga (41 shared papers)Mithat Gönen (33 shared papers)Jayasree Chakraborty (25 shared papers)Peter J. Allen (27 shared papers)T. Peter Kingham (31 shared papers)Thomas S. Pheiffer (16 shared papers)
- Journals
- Abdominal Radiology (8 papers)Journal of the American College of Surgeons (7 papers)Annals of Surgical Oncology (4 papers)IEEE Transactions on Biomedical Engineering (4 papers)HPB (4 papers)
- Partner nations
- United StatesCanadaIran
In The Last Decade
Amber L. Simpson
120 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 117
- Health Informatics 60
- Hepatology 315
- Radiology, Nuclear Medicine and Imaging 794
- Oncology 498
- Computer Vision and Pattern Recognition 344
Countries citing papers authored by Amber L. Simpson
This map shows the geographic impact of Amber L. Simpson'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 Amber L. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber L. Simpson more than expected).
Fields of papers citing papers by Amber L. Simpson
This network shows the impact of papers produced by Amber L. Simpson. 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 Amber L. Simpson. The network helps show where Amber L. Simpson may publish in the future.
Co-authors
The 25 scholars most cited alongside Amber L. Simpson, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 90 | |
| 2 | 2018 | 85 | |
| 3 | 2018 | 84 | |
| 4 | 2019 | 81 | |
| 5 | 2014 | 72 | |
| 6 | 2017 | 70 | |
| 7 | 2017 | 69 | |
| 8 | 2013 | 63 | |
| 9 | 2014 | 60 | |
| 10 | 2019 | 58 | |
| 11 | 2017 | 55 | |
| 12 | 2014 | 55 | |
| 13 | 2018 | 55 | |
| 14 | 2015 | 50 | |
| 15 | 2022 | 48 | |
| 16 | 2012 | 45 | |
| 17 | 2017 | 45 | |
| 18 | 2014 | 44 | |
| 19 | 2018 | 43 | |
| 20 | 2022 | 43 |
About Amber L. Simpson
Amber L. Simpson is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Surgery and Oncology, having authored 124 papers that have together received 2.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (32 papers), Pancreatic and Hepatic Oncology Research (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Medical Image Segmentation Techniques (14 papers), Surgical Simulation and Training (12 papers), Robotics and Sensor-Based Localization (11 papers), Anatomy and Medical Technology (11 papers) and Augmented Reality Applications (10 papers). The work is most often cited by research in Health Informatics (60 citations), Hepatology (315 citations), Radiology, Nuclear Medicine and Imaging (794 citations), Oncology (498 citations) and Computer Vision and Pattern Recognition (344 citations). Amber L. Simpson has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Richard Kinh Gian, William R. Jarnagin, Michael I. Miga, Mithat Gönen, Jayasree Chakraborty, Peter J. Allen, T. Peter Kingham, Thomas S. Pheiffer, Abhishek Midya and Ronald P. DeMatteo. Their work appears in journals such as Abdominal Radiology, Journal of the American College of Surgeons, Annals of Surgical Oncology, IEEE Transactions on Biomedical Engineering and HPB.
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.