Hossein Azizpour
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 0.5%
- Media Technology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Aerospace Engineering top 5%
- Co-authors
- Josephine SullivanAli Sharif RazavianStefan CarlssonRicardo VinuesaIolanda LeiteVirginia DignumSimone D. LanghansAnna Felländer
- Topics
- Fluid Dynamics and Turbulent Flows (7 papers)Model Reduction and Neural Networks (6 papers)AI in cancer detection (5 papers)
In The Last Decade
Hossein Azizpour
27 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Computer Vision and Pattern Recognition 2.4k
- Artificial Intelligence 1.6k
- Media Technology 601
- Radiology, Nuclear Medicine and Imaging 526
- Aerospace Engineering 399
Countries citing papers authored by Hossein Azizpour
This map shows the geographic impact of Hossein Azizpour'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 Hossein Azizpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hossein Azizpour more than expected).
Fields of papers citing papers by Hossein Azizpour
This network shows the impact of papers produced by Hossein Azizpour. 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 Hossein Azizpour. The network helps show where Hossein Azizpour may publish in the future.
Co-authorship network of co-authors of Hossein Azizpour
This figure shows the co-authorship network connecting the top 25 collaborators of Hossein Azizpour. A scholar is included among the top collaborators of Hossein Azizpour 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 Hossein Azizpour. Hossein Azizpour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 68 | |
| 7 | 9 | |
| 8 | Deep Reinforcement Learning for Active Drag Reduction in Wall Turbulence | 1 |
| 9 | 49 | |
| 10 | 66 | |
| 11 | The role of artificial intelligence in achieving the Sustainable Development Goalsbreakdown → | 1403 |
| 12 | 107 | |
| 13 | 187 | |
| 14 | Bayesian Uncertainty Estimation for Batch Normalized Deep Networks | 39 |
| 15 | 62 | |
| 16 | 204 | |
| 17 | The Preimage of Rectifier Network Activities | 0 |
| 18 | 252 | |
| 19 | CNN Features Off-the-Shelf: An Astounding Baseline for Recognitionbreakdown → | 2830 |
| 20 | From Generic to Specific Deep Representations for Visual Recognition | 15 |
About Hossein Azizpour
Hossein Azizpour is a scholar working on Media Technology, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 30 papers that have together received 5.7k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (7 papers), Model Reduction and Neural Networks (6 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Health Informatics (146 citations) and Media Technology (601 citations). Hossein Azizpour has collaborated with scholars based in Sweden, Germany and Spain. Frequent co-authors include Josephine Sullivan, Ali Sharif Razavian, Stefan Carlsson, Ricardo Vinuesa, Iolanda Leite, Virginia Dignum, Simone D. Langhans, Anna Felländer, Max Tegmark and Madeline Balaam. Their work appears in journals such as Nature Medicine, Nature Communications and Bioinformatics.
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.