Amy J. Weisman
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Biomedical Engineering
- Pathology and Forensic Medicine
- Co-authors
- Robert JerajTyler BradshawScott B. PerlmanMartin HutchingsLale KostakoğluTimothy PerkSteve Y. ChoKathleen M. McCarten
- Topics
- Radiomics and Machine Learning in Medical Imaging (11 papers)Medical Imaging Techniques and Applications (11 papers)Lung Cancer Diagnosis and Treatment (4 papers)
- Partner nations
- United StatesSloveniaDenmark
In The Last Decade
Amy J. Weisman
18 papers receiving 249 citations
Peers
Comparison fields: 5 of 58
- Radiology, Nuclear Medicine and Imaging 180
- Pulmonary and Respiratory Medicine 57
- Artificial Intelligence 52
- Biomedical Engineering 33
- Pathology and Forensic Medicine 33
Countries citing papers authored by Amy J. Weisman
This map shows the geographic impact of Amy J. Weisman'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 Amy J. Weisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy J. Weisman more than expected).
Fields of papers citing papers by Amy J. Weisman
This network shows the impact of papers produced by Amy J. Weisman. 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 Amy J. Weisman. The network helps show where Amy J. Weisman may publish in the future.
Co-authorship network of co-authors of Amy J. Weisman
This figure shows the co-authorship network connecting the top 25 collaborators of Amy J. Weisman. A scholar is included among the top collaborators of Amy J. Weisman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy J. Weisman. Amy J. Weisman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 11 | |
| 8 | Retrospective quantitative harmonization in PET using deconvolution and optimal filtering | 1 |
| 9 | 22 | |
| 10 | 30 | |
| 11 | 42 | |
| 12 | 4 | |
| 13 | 102 | |
| 14 | Ensemble 3D Convolutional Neural Networks for Automated Detection of Diseased Lymph Nodes | 1 |
| 15 | Automated deep learning-based quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric lymphoma patients | 1 |
| 16 | 11 | |
| 17 | 2 | |
| 18 | Separation of Powers in Post-Communist Government: A Constitutional Case Study of the Russian Federation | 1 |
About Amy J. Weisman
Amy J. Weisman is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 251 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (11 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (180 citations) and Pathology and Forensic Medicine (33 citations). Amy J. Weisman has collaborated with scholars based in United States, Slovenia and Denmark. Frequent co-authors include Robert Jeraj, Tyler Bradshaw, Scott B. Perlman, Martin Hutchings, Lale Kostakoğlu, Timothy Perk, Steve Y. Cho, Kathleen M. McCarten, Glenn Liu and Inki Lee. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics and Journal of Nuclear 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.