Layla El Asri

10 papers and 256 indexed citations i.

About

Layla El Asri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Layla El Asri has authored 10 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Materials Chemistry. Recurrent topics in Layla El Asri’s work include Speech and dialogue systems (6 papers), Topic Modeling (5 papers) and Video Analysis and Summarization (3 papers). Layla El Asri is often cited by papers focused on Speech and dialogue systems (6 papers), Topic Modeling (5 papers) and Video Analysis and Summarization (3 papers). Layla El Asri collaborates with scholars based in Canada, United States and Austria. Layla El Asri's co-authors include Kaheer Suleman, Hannes Schulz, Shikhar Sharma, Jing He, Jérémie Zumer, Emery Fine, Justin Harris, Mehdi Fatemi, Yoshua Bengio and Samira Ebrahimi Kahou and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Layla El Asri i

Fields of papers citing papers by Layla El Asri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Layla El Asri. 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 Layla El Asri. The network helps show where Layla El Asri may publish in the future.

Countries citing papers authored by Layla El Asri

Since Specialization
Citations

This map shows the geographic impact of Layla El Asri'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 Layla El Asri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Layla El Asri more than expected).

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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2025