Alaaeldin El-Nouby
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging
- Signal Processing top 10%
- Media Technology top 10%
- Co-authors
- Armand JoulinIshan MisraRohit GirdharKalyan Vasudev AlwalaMannat SinghZhuang LiuHervé JeǵouGabriel Synnaeve
- Topics
- Multimodal Machine Learning Applications (2 papers)Video Analysis and Summarization (2 papers)Advanced Neural Network Applications (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencearXiv (Cornell University)
In The Last Decade
Alaaeldin El-Nouby
5 papers receiving 811 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 438
- Artificial Intelligence 352
- Radiology, Nuclear Medicine and Imaging 79
- Signal Processing 75
- Media Technology 52
Countries citing papers authored by Alaaeldin El-Nouby
This map shows the geographic impact of Alaaeldin El-Nouby'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 Alaaeldin El-Nouby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alaaeldin El-Nouby more than expected).
Fields of papers citing papers by Alaaeldin El-Nouby
This network shows the impact of papers produced by Alaaeldin El-Nouby. 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 Alaaeldin El-Nouby. The network helps show where Alaaeldin El-Nouby may publish in the future.
Co-authorship network of co-authors of Alaaeldin El-Nouby
This figure shows the co-authorship network connecting the top 25 collaborators of Alaaeldin El-Nouby. A scholar is included among the top collaborators of Alaaeldin El-Nouby 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 Alaaeldin El-Nouby. Alaaeldin El-Nouby 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 | 3 | |
| 3 | 43 | |
| 4 | ImageBind One Embedding Space to Bind Them Allbreakdown → | 340 |
| 5 | ResMLP: Feedforward Networks for Image Classification With Data-Efficient Trainingbreakdown → | 444 |
| 6 | Keep Drawing It: Iterative language-based image generation and editing. | 4 |
About Alaaeldin El-Nouby
Alaaeldin El-Nouby is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 6 papers that have together received 835 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (2 papers), Video Analysis and Summarization (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Health Informatics (17 citations) and Artificial Intelligence (352 citations). Alaaeldin El-Nouby has collaborated with scholars based in Sweden, Canada and France. Frequent co-authors include Armand Joulin, Ishan Misra, Rohit Girdhar, Kalyan Vasudev Alwala, Mannat Singh, Zhuang Liu, Hervé Jeǵou, Gabriel Synnaeve, Hugo Touvron and Édouard Grave. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and arXiv (Cornell University).
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.