Mihaela Rosca
- Computer Vision and Pattern Recognition
- Computational Mechanics
- Artificial Intelligence
- Signal Processing
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Yan WuTimothy LillicrapBalaji LakshminarayananWilliam FedusAndrew M. DaiIan GoodfellowShakir Mohamed
- Topics
- Image Processing Techniques and Applications (1 paper)Statistical Mechanics and Entropy (1 paper)Sparse and Compressive Sensing Techniques (1 paper)
- Journals
- arXiv (Cornell University)International Conference on Learning Representations
- Partner nations
- United States
In The Last Decade
Mihaela Rosca
2 papers receiving 41 citations
Peers
Comparison fields: 5 of 22
- Computer Vision and Pattern Recognition 24
- Computational Mechanics 16
- Artificial Intelligence 13
- Signal Processing 9
- Radiology, Nuclear Medicine and Imaging 7
Countries citing papers authored by Mihaela Rosca
This map shows the geographic impact of Mihaela Rosca'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 Mihaela Rosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihaela Rosca more than expected).
Fields of papers citing papers by Mihaela Rosca
This network shows the impact of papers produced by Mihaela Rosca. 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 Mihaela Rosca. The network helps show where Mihaela Rosca may publish in the future.
Co-authorship network of co-authors of Mihaela Rosca
This figure shows the co-authorship network connecting the top 25 collaborators of Mihaela Rosca. A scholar is included among the top collaborators of Mihaela Rosca 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 Mihaela Rosca. Mihaela Rosca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step | 26 |
About Mihaela Rosca
Mihaela Rosca is a scholar working on Media Technology, Statistical and Nonlinear Physics and Computational Mechanics, having authored 2 papers that have together received 45 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (1 paper), Statistical Mechanics and Entropy (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (24 citations), Signal Processing (9 citations) and Computational Mechanics (16 citations). Mihaela Rosca has collaborated with scholars based in United States. Frequent co-authors include Yan Wu, Timothy Lillicrap, Balaji Lakshminarayanan, William Fedus, Andrew M. Dai, Ian Goodfellow and Shakir Mohamed. Their work appears in journals such as arXiv (Cornell University) and International Conference on Learning Representations.
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.