Sayna Ebrahimi

About

Sayna Ebrahimi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Sayna Ebrahimi has authored 12 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Mechanics of Materials. Recurrent topics in Sayna Ebrahimi’s work include Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (3 papers). Sayna Ebrahimi is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (3 papers). Sayna Ebrahimi collaborates with scholars based in United States, Canada and Germany. Sayna Ebrahimi's co-authors include Trevor Darrell, Edgar Schönfeld, Zeynep Akata, Samarth Sinha, Dian Chen, Dequan Wang, Devin Guillory, David J. Steigmann, K. Komvopoulos and Vaishaal Shankar and has published in prestigious journals such as ACM Computing Surveys, Engineering Analysis with Boundary Elements and Journal of mechanics of materials and structures.

In The Last Decade

Co-authorship network of co-authors of Sayna Ebrahimi i

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Fields of papers citing papers by Sayna Ebrahimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sayna Ebrahimi

Since Specialization

Citations

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