Emily Wenger

10 papers and 122 indexed citations i.

About

Emily Wenger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Emily Wenger has authored 10 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Emily Wenger’s work include Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Face recognition and analysis (2 papers). Emily Wenger is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Face recognition and analysis (2 papers). Emily Wenger collaborates with scholars based in United States. Emily Wenger's co-authors include Ben Y. Zhao, Hai-Tao Zheng, Yuanshun Yao, Arjun Nitin Bhagoji, Shawn Shan, Bolun Wang, Bo Li, Jiayun Zhang, François Charton and Xiuyu Li and has published in prestigious journals such as Nature, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Emily Wenger i

Fields of papers citing papers by Emily Wenger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emily Wenger

Since Specialization
Citations

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