Aurobrata Ghosh
- Radiology, Nuclear Medicine and Imaging top 5%
- Pediatrics, Perinatology and Child Health
- Cognitive Neuroscience
- Orthopedics and Sports Medicine top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Rachid DericheJian ChengTianzi JiangDaniel C. AlexanderEnrico KadenRyutaro TannoStamatios N. SotiropoulosMaxime Descoteaux
- Topics
- Advanced Neuroimaging Techniques and Applications (28 papers)Advanced MRI Techniques and Applications (14 papers)MRI in cancer diagnosis (13 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Aurobrata Ghosh
29 papers receiving 568 citations
Peers
Comparison fields: 5 of 71
- Radiology, Nuclear Medicine and Imaging 507
- Pediatrics, Perinatology and Child Health 90
- Cognitive Neuroscience 86
- Orthopedics and Sports Medicine 53
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Aurobrata Ghosh
This map shows the geographic impact of Aurobrata Ghosh'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 Aurobrata Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurobrata Ghosh more than expected).
Fields of papers citing papers by Aurobrata Ghosh
This network shows the impact of papers produced by Aurobrata Ghosh. 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 Aurobrata Ghosh. The network helps show where Aurobrata Ghosh may publish in the future.
Co-authorship network of co-authors of Aurobrata Ghosh
This figure shows the co-authorship network connecting the top 25 collaborators of Aurobrata Ghosh. A scholar is included among the top collaborators of Aurobrata Ghosh 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 Aurobrata Ghosh. Aurobrata Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | SpliceRadar: A Learned Method For Blind Image Forensics | 4 |
| 3 | 65 | |
| 4 | 34 | |
| 5 | 26 | |
| 6 | 66 | |
| 7 | Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016 | 2 |
| 8 | 61 | |
| 9 | 8 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | Compressive Sensing Ensemble Average Propagator Estimation via L1 Spherical Polar Fourier Imaging | 11 |
| 15 | 9 | |
| 16 | 49 | |
| 17 | 18 | |
| 18 | 29 | |
| 19 | 12 | |
| 20 | 34 |
About Aurobrata Ghosh
Aurobrata Ghosh is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 30 papers that have together received 577 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (28 papers), Advanced MRI Techniques and Applications (14 papers) and MRI in cancer diagnosis (13 papers). The work is most often cited by research in Computational Mathematics (38 citations), Radiology, Nuclear Medicine and Imaging (507 citations) and Health Informatics (11 citations). Aurobrata Ghosh has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Rachid Deriche, Jian Cheng, Tianzi Jiang, Daniel C. Alexander, Enrico Kaden, Ryutaro Tanno, Stamatios N. Sotiropoulos, Maxime Descoteaux, Antonio Criminisi and Francesco Grussu. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine and Medical Image Analysis.
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.