Mohammad Zalbagi Darestani
- Molecular Biology
- Mechanical Engineering
- Artificial Intelligence
- Computational Theory and Mathematics
- Biomedical Engineering
- Co-authors
- Reinhard HeckelJory LietardMark M. SomozaPhilipp L. AntkowiakRobert N. GrassWendelin J. StarkWenqi LiDaguang Xu
- Topics
- Advanced MRI Techniques and Applications (3 papers)Medical Imaging Techniques and Applications (2 papers)Modular Robots and Swarm Intelligence (1 paper)
- Journals
- Nature CommunicationsarXiv (Cornell University)International Conference on Machine Learning
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Mohammad Zalbagi Darestani
5 papers receiving 112 citations
Peers
Comparison fields: 5 of 26
- Molecular Biology 97
- Mechanical Engineering 27
- Artificial Intelligence 20
- Computational Theory and Mathematics 17
- Biomedical Engineering 9
Countries citing papers authored by Mohammad Zalbagi Darestani
This map shows the geographic impact of Mohammad Zalbagi Darestani'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 Mohammad Zalbagi Darestani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Zalbagi Darestani more than expected).
Fields of papers citing papers by Mohammad Zalbagi Darestani
This network shows the impact of papers produced by Mohammad Zalbagi Darestani. 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 Mohammad Zalbagi Darestani. The network helps show where Mohammad Zalbagi Darestani may publish in the future.
Co-authorship network of co-authors of Mohammad Zalbagi Darestani
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Zalbagi Darestani. A scholar is included among the top collaborators of Mohammad Zalbagi Darestani 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 Mohammad Zalbagi Darestani. Mohammad Zalbagi Darestani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Measuring Robustness in Deep Learning Based Compressive Sensing | 2 |
| 3 | Can Un-trained Neural Networks Compete with Trained Neural Networks at Image Reconstruction? | 1 |
| 4 | 101 | |
| 5 | 2 |
About Mohammad Zalbagi Darestani
Mohammad Zalbagi Darestani is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 112 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (3 papers), Medical Imaging Techniques and Applications (2 papers) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Molecular Biology (97 citations), Computational Theory and Mathematics (17 citations) and Mechanical Engineering (27 citations). Mohammad Zalbagi Darestani has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Reinhard Heckel, Jory Lietard, Mark M. Somoza, Philipp L. Antkowiak, Robert N. Grass, Wendelin J. Stark, Wenqi Li, Daguang Xu, Ziyue Xu and Holger R. Roth. Their work appears in journals such as Nature Communications, arXiv (Cornell University) and International Conference on Machine Learning.
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.