A. Missert
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiation Dose and Imaging 5
- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 1
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- Advanced X-ray and CT Imaging 6
- Co-authors
- Shuai Leng (6 shared papers)Lifeng Yu (6 shared papers)Joel G. Fletcher (3 shared papers)Daniel J. Blezek (1 shared paper)Hao Gong (3 shared papers)Cynthia H. McCollough (4 shared papers)Luís Guimarães (1 shared paper)Achille Mileto (1 shared paper)
- Journals
- Clinical Radiology (1 paper)American Journal of Obstetrics & Gynecology MFM (1 paper)Journal of Digital Imaging (1 paper)Radiographics (1 paper)Medical Physics (1 paper)
- Partner nations
- United StatesCanadaGreece
In The Last Decade
A. Missert
11 papers receiving 161 citations
Peers
Comparison fields: 5 of 39
- Health Informatics 24
- Radiology, Nuclear Medicine and Imaging 86
- Biomedical Engineering 70
- Health Information Management 3
- Pulmonary and Respiratory Medicine 14
Countries citing papers authored by A. Missert
This map shows the geographic impact of A. Missert'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 A. Missert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Missert more than expected).
Fields of papers citing papers by A. Missert
This network shows the impact of papers produced by A. Missert. 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 A. Missert. The network helps show where A. Missert may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Missert, 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 | 2021 | 67 | |
| 2 | 2021 | 39 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 17 | |
| 5 | 2024 | 9 | |
| 6 | 2019 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 1 | |
| 9 | Neutrino Oscillation Measurements Using A Maximum Likelihood Event Reconstruction Algorithm | 2017 | 1 |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 0 |
About A. Missert
A. Missert is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Radiation, having authored 12 papers that have together received 164 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (6 papers), Radiation Dose and Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Maternal and fetal healthcare (1 paper), Advanced Radiotherapy Techniques (1 paper), Renal cell carcinoma treatment (1 paper) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Biomedical Engineering (70 citations), Health Information Management (3 citations) and Pulmonary and Respiratory Medicine (14 citations). A. Missert has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Shuai Leng, Lifeng Yu, Joel G. Fletcher, Daniel J. Blezek, Hao Gong, Cynthia H. McCollough, Luís Guimarães, Achille Mileto, Corey T. Jensen and Payam Mohammadinejad. Their work appears in journals such as Clinical Radiology, American Journal of Obstetrics & Gynecology MFM, Journal of Digital Imaging, Radiographics and Medical Physics.
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.