Maha Elbayad

875 total citations
7 papers, 82 citations indexed

About

Maha Elbayad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Maha Elbayad has authored 7 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Maha Elbayad's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (4 papers). Maha Elbayad is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (4 papers). Maha Elbayad collaborates with scholars based in United States, Israel and France. Maha Elbayad's co-authors include Jakob Verbeek, Laurent Besacier, Laurent Besacier, Satoshi Nakamura, Shruti Bhosale, Katsuhito Sudoh, Marcello Federico, Antonios Anastasopoulos, Elizabeth Salesky and Changhan Wang and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Maha Elbayad

7 papers receiving 76 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maha Elbayad	68	18	8	6	3	7	82
Barun Patra	83 1.2×	26 1.4×	7 0.9×	5 0.8×	3 1.0×	15	106
Marek Wydmuch	71 1.0×	15 0.8×	8 1.0×	9 1.5×	2 0.7×	6	81
Emilie Morvant	55 0.8×	18 1.0×	6 0.8×	3 0.5×	2 0.7×	10	69
Sebastian Szyller	56 0.8×	31 1.7×	11 1.4×	5 0.8×	2 0.7×	3	72
Thibault Févry	58 0.9×	15 0.8×	7 0.9×	8 1.3×	3 1.0×	3	72
Zhouxing Shi	106 1.6×	12 0.7×	14 1.8×	10 1.7×	3 1.0×	11	116
Khashayar Khosravi	89 1.3×	42 2.3×	4 0.5×	7 1.2×	2 0.7×	6	99
Stanislas Lauly	115 1.7×	36 2.0×	12 1.5×	14 2.3×	5 1.7×	3	130
Bo-Hsiang Tseng	89 1.3×	18 1.0×	5 0.6×	8 1.3×	1 0.3×	16	102
Kris Cao	61 0.9×	14 0.8×	8 1.0×	4 0.7×	1 0.3×	7	71

Countries citing papers authored by Maha Elbayad

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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7 of 7 papers shown

1.

Shaham, Uri, Maha Elbayad, Vedanuj Goswami, Omer Levy, & Shruti Bhosale. (2023). Causes and Cures for Interference in Multilingual Translation. 15849–15863. 3 indexed citations

2.

Elbayad, Maha, Anna Sun, & Shruti Bhosale. (2023). Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. 14237–14253. 3 indexed citations

3.

Xu, Haoran, Maha Elbayad, Kenton Murray, Jean Maillard, & Vedanuj Goswami. (2023). Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity. 12858–12870. 1 indexed citations

4.

Elbayad, Maha, et al.. (2023). Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages. 1513–1527. 1 indexed citations

5.

Anastasopoulos, Antonios, Ondřej Bojar, Roldano Cattoni, et al.. (2021). FINDINGS OF THE IWSLT 2021 EVALUATION CAMPAIGN. 1–29. 43 indexed citations

6.

Elbayad, Maha, Laurent Besacier, & Jakob Verbeek. (2018). Pervasive Attention: 2. 97–107. 19 indexed citations

7.

Elbayad, Maha, Laurent Besacier, & Jakob Verbeek. (2018). Token-level and sequence-level loss smoothing for RNN language models. arXiv (Cornell University). 2094–2103. 12 indexed citations

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.

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