Carianne Martinez
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- Lung Cancer Diagnosis and Treatment 2
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- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 2
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- Seismic Imaging and Inversion Techniques 2
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- Advanced Neural Network Applications 2
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- Model Reduction and Neural Networks 2
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- Advanced X-ray and CT Imaging 2
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- Structural Health Monitoring Techniques 2
- Co-authors
- A V ProtoFrederick P. StitikS S SagelElias A. ZerhouniR T HeelanDavid P. NaidichS S SiegelmanJohn R. Muhm
- Partner nations
- United States
In The Last Decade
Carianne Martinez
17 papers receiving 334 citations
Peers
Comparison fields: 5 of 73
- Pulmonary and Respiratory Medicine 221
- Radiology, Nuclear Medicine and Imaging 122
- Software 13
- Nephrology 10
- Microbiology 1
Countries citing papers authored by Carianne Martinez
This map shows the geographic impact of Carianne Martinez'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 Carianne Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carianne Martinez more than expected).
Fields of papers citing papers by Carianne Martinez
This network shows the impact of papers produced by Carianne Martinez. 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 Carianne Martinez. The network helps show where Carianne Martinez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carianne Martinez, 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 | 2024 | 5 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 0 | |
| 13 | 2021 | 0 | |
| 14 | 2019 | 7 | |
| 15 | 2019 | 8 | |
| 16 | 2019 | 13 | |
| 17 | 1995 | 14 | |
| 18 | 1992 | 43 | |
| 19 | Computed tomography of pulmonary nodule using a standard reference chest phantom. | 1988 | 2 |
| 20 | 1986 | 226 |
About Carianne Martinez
Carianne Martinez is a scholar working on Software, Industrial and Manufacturing Engineering and Statistical and Nonlinear Physics, having authored 20 papers that have together received 347 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Advanced Neural Network Applications (2 papers), Model Reduction and Neural Networks (2 papers), Advanced X-ray and CT Imaging (2 papers), Structural Health Monitoring Techniques (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (221 citations), Radiology, Nuclear Medicine and Imaging (122 citations) and Software (13 citations). Carianne Martinez has collaborated with scholars based in United States. Frequent co-authors include A V Proto, Frederick P. Stitik, S S Sagel, Elias A. Zerhouni, R T Heelan, David P. Naidich, S S Siegelman, John R. Muhm, David L. Helfet and Roy Sanders. Their work appears in journals such as Computational Mechanics, Energy storage materials, Radiology, Materials Today and Radiographics.
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.