Amy J. Weisman

410 total citations
18 papers, 251 citations indexed

About

Amy J. Weisman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Amy J. Weisman has authored 18 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 3 papers in Biomedical Engineering. Recurrent topics in Amy J. Weisman's 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). Amy J. Weisman is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (11 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Amy J. Weisman collaborates with scholars based in United States, Slovenia and Denmark. Amy J. Weisman's 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 and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Journal of Nuclear Medicine.

In The Last Decade

Amy J. Weisman

18 papers receiving 249 citations

Peers

Amy J. Weisman
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
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Citations per field, relative to Amy J. Weisman
Amy J. Weisman · 1×
Citations per year, relative to Amy J. Weisman
Amy J. Weisman · 1×

Countries citing papers authored by Amy J. Weisman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

18 of 18 papers shown
# 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

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.

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