Golnoosh Samei
Impact in
- Radiation top 10%
- Advanced Radiotherapy Techniques
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 3
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- Medical Imaging and Analysis 5
- Co-authors
- Septimiu E. Salcudean (7 shared papers)Claudia Kesch (4 shared papers)Christine Tanner (9 shared papers)Gábor Székely (9 shared papers)Davood Karimi (1 shared paper)Guy Nir (1 shared paper)Julio Lobo (5 shared papers)Peter C. Black (3 shared papers)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (4 papers)IEEE Transactions on Medical Imaging (1 paper)Medical Image Analysis (1 paper)Brachytherapy (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- SwitzerlandCanadaIran
In The Last Decade
Golnoosh Samei
17 papers receiving 225 citations
Peers
Comparison fields: 5 of 40
- Radiation 53
- Computer Vision and Pattern Recognition 94
- Radiology, Nuclear Medicine and Imaging 92
- Health Informatics 5
- Pulmonary and Respiratory Medicine 70
Countries citing papers authored by Golnoosh Samei
This map shows the geographic impact of Golnoosh Samei'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 Golnoosh Samei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Golnoosh Samei more than expected).
Fields of papers citing papers by Golnoosh Samei
This network shows the impact of papers produced by Golnoosh Samei. 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 Golnoosh Samei. The network helps show where Golnoosh Samei may publish in the future.
Co-authors
The 25 scholars most cited alongside Golnoosh Samei, 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 | 2018 | 67 | |
| 2 | 2019 | 35 | |
| 3 | 2018 | 24 | |
| 4 | 2012 | 21 | |
| 5 | 2018 | 20 | |
| 6 | 2013 | 14 | |
| 7 | 2016 | 13 | |
| 8 | 2019 | 7 | |
| 9 | 2013 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2014 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2008 | 3 | |
| 15 | 2015 | 2 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 1 |
About Golnoosh Samei
Golnoosh Samei is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Radiation, having authored 17 papers that have together received 227 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Medical Imaging and Analysis (5 papers), Surgical Simulation and Training (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Image Segmentation Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiation (53 citations), Computer Vision and Pattern Recognition (94 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Health Informatics (5 citations) and Pulmonary and Respiratory Medicine (70 citations). Golnoosh Samei has collaborated with scholars based in Switzerland, Canada and Iran. Frequent co-authors include Septimiu E. Salcudean, Claudia Kesch, Christine Tanner, Gábor Székely, Davood Karimi, Guy Nir, Julio Lobo, Peter C. Black, Omid Mohareri and S. Sara Mahdavi. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Medical Imaging, Medical Image Analysis, Brachytherapy and Lecture notes in computer science.
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.