Myriam Tami

5 papers and 458 indexed citations i.

About

Myriam Tami is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Myriam Tami has authored 5 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Myriam Tami’s work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Myriam Tami is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Myriam Tami collaborates with scholars based in France, Belgium and Canada. Myriam Tami's co-authors include Céline Hudelot, Yassine Ouali, Ismail Ben Ayed, Pablo Piantanida, Malik Boudiaf, Christian Lavergne, Xavier Bry, D. Azria, Sophie Gourgou and Caroline Mollévi and has published in prestigious journals such as Statistics in Medicine, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Myriam Tami i

Fields of papers citing papers by Myriam Tami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myriam Tami. 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 Myriam Tami. The network helps show where Myriam Tami may publish in the future.

Countries citing papers authored by Myriam Tami

Since Specialization
Citations

This map shows the geographic impact of Myriam Tami'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 Myriam Tami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myriam Tami 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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