Nicolas Papernot

About

Nicolas Papernot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Nicolas Papernot has authored 48 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Nicolas Papernot’s work include Adversarial Robustness in Machine Learning (32 papers), Privacy-Preserving Technologies in Data (17 papers) and Anomaly Detection Techniques and Applications (12 papers). Nicolas Papernot is often cited by papers focused on Adversarial Robustness in Machine Learning (32 papers), Privacy-Preserving Technologies in Data (17 papers) and Anomaly Detection Techniques and Applications (12 papers). Nicolas Papernot collaborates with scholars based in United States, Canada and United Kingdom. Nicolas Papernot's co-authors include Patrick McDaniel, Ananthram Swami, Somesh Jha, Z. Berkay Celik, Ian Goodfellow, Matt Fredrikson, Xi Wu, Richard Harang, Arunesh Sinha and Christopher A. Choquette-Choo and has published in prestigious journals such as Nature, Nature Communications and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Nicolas Papernot i

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Fields of papers citing papers by Nicolas Papernot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nicolas Papernot

Since Specialization

Citations

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