Nicolas Papernot

48 papers and 5.9k indexed citations i.

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

Fields of papers citing papers by Nicolas Papernot

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Nicolas Papernot. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025