Maha Elbayad
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Signal Processing
- Information Systems
- Molecular Biology
- Co-authors
- Jakob VerbeekLaurent BesacierKatsuhito SudohJan NiehuesSebastian StükerOndřej BojarShruti BhosaleSatoshi Nakamura
- Topics
- Natural Language Processing Techniques (7 papers)Topic Modeling (6 papers)Multimodal Machine Learning Applications (4 papers)
- Journals
- arXiv (Cornell University)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Maha Elbayad
7 papers receiving 76 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 68
- Computer Vision and Pattern Recognition 18
- Signal Processing 8
- Information Systems 6
- Molecular Biology 3
Countries citing papers authored by Maha Elbayad
This map shows the geographic impact of Maha Elbayad'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 Maha Elbayad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Elbayad more than expected).
Fields of papers citing papers by Maha Elbayad
This network shows the impact of papers produced by Maha Elbayad. 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 Maha Elbayad. The network helps show where Maha Elbayad may publish in the future.
Co-authorship network of co-authors of Maha Elbayad
This figure shows the co-authorship network connecting the top 25 collaborators of Maha Elbayad. A scholar is included among the top collaborators of Maha Elbayad 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 Maha Elbayad. Maha Elbayad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 43 | |
| 6 | 19 | |
| 7 | 12 |
About Maha Elbayad
Maha Elbayad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 7 papers that have together received 82 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Artificial Intelligence (68 citations), Computer Vision and Pattern Recognition (18 citations) and Signal Processing (8 citations). Maha Elbayad has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Jakob Verbeek, Laurent Besacier, Laurent Besacier, Katsuhito Sudoh, Jan Niehues, Sebastian Stüker, Ondřej Bojar, Shruti Bhosale, Satoshi Nakamura and Marcello Federico. Their work appears in journals such as 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.