Youssef Mroueh
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Multimodal Machine Learning Applications 4
- Generative Adversarial Networks and Image Synthesis 3
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- Speech and Audio Processing 4
- Music and Audio Processing 3
- Co-authors
- Vaibhava Goel (3 shared papers)Etienne Marcheret (3 shared papers)Payel Das (7 shared papers)Inkit Padhi (7 shared papers)Brian M. Belgodere (6 shared papers)Jerret Ross (5 shared papers)Vijil Chenthamarakshan (3 shared papers)Steven J. Rennie (2 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)Journal of Artificial Intelligence Research (1 paper)IEEE Journal on Emerging and Selected Topics in Circuits and Systems (1 paper)The Annals of Statistics (1 paper)Physical Review X (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Youssef Mroueh
25 papers receiving 797 citations
Youssef Mroueh's Hit Papers
Peers
Comparison fields: 5 of 114
- Signal Processing 145
- Computer Vision and Pattern Recognition 244
- Computational Theory and Mathematics 181
- Artificial Intelligence 242
- Health Informatics 7
Countries citing papers authored by Youssef Mroueh
This map shows the geographic impact of Youssef Mroueh'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 Youssef Mroueh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youssef Mroueh more than expected).
Fields of papers citing papers by Youssef Mroueh
This network shows the impact of papers produced by Youssef Mroueh. 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 Youssef Mroueh. The network helps show where Youssef Mroueh may publish in the future.
Co-authors
The 25 scholars most cited alongside Youssef Mroueh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large-scale chemical language representations capture molecular structure and properties Hit paper breakdown → | 2022 | 312 |
| 2 | 2015 | 168 | |
| 3 | 2017 | 133 | |
| 4 | 2020 | 65 | |
| 5 | 2022 | 29 | |
| 6 | 2023 | 23 | |
| 7 | 2017 | 18 | |
| 8 | 2017 | 15 | |
| 9 | Fisher GAN | 2017 | 14 |
| 10 | 2019 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2025 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2014 | 3 | |
| 17 | 2023 | 3 | |
| 18 | A Decentralized Parallel Algorithm for Training Generative Adversarial Nets | 2020 | 3 |
| 19 | Generative Feature Matching Networks | 2018 | 3 |
| 20 | 2024 | 3 |
About Youssef Mroueh
Youssef Mroueh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 29 papers that have together received 840 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers), Speech and Audio Processing (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Neural Networks and Applications (3 papers), Music and Audio Processing (3 papers), Geometric Analysis and Curvature Flows (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Signal Processing (145 citations), Computer Vision and Pattern Recognition (244 citations), Computational Theory and Mathematics (181 citations), Artificial Intelligence (242 citations) and Health Informatics (7 citations). Youssef Mroueh has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Vaibhava Goel, Etienne Marcheret, Payel Das, Inkit Padhi, Brian M. Belgodere, Jerret Ross, Vijil Chenthamarakshan, Steven J. Rennie, Steven G. Johnson and Raphaël Pestourie. Their work appears in journals such as Nature Machine Intelligence, Journal of Artificial Intelligence Research, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, The Annals of Statistics and Physical Review X.
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.