Pascal Paillier
About
Pascal Paillier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics.
According to data from OpenAlex, Pascal Paillier has authored 7 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Pascal Paillier’s work include Cryptography and Data Security (3 papers), Cryptographic Implementations and Security (2 papers) and Coding theory and cryptography (2 papers). Pascal Paillier is often cited by papers focused on Cryptography and Data Security (3 papers), Cryptographic Implementations and Security (2 papers) and Coding theory and cryptography (2 papers). Pascal Paillier collaborates with scholars based in France, United States and Italy. Pascal Paillier's co-authors include Ingrid Verbauwhede, Dario Catalano, Tanja Lange, Eike Kiltz, John Malone-Lee, Gregory Neven, Michel Abdalla⋆, Tadayoshi Kohno, Mihir Bellare and Anne Canteaut and has published in prestigious journals such as Electronics Letters, Lecture notes in computer science and Journal of Cryptology.
In The Last Decade
Co-authorship network of co-authors of Pascal Paillier i
Fields of papers citing papers by Pascal Paillier
Since SpecializationEngineeringComputer 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 Pascal Paillier. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Pascal Paillier may publish in the future.
Countries citing papers authored by Pascal Paillier
Since SpecializationCitations
This map shows the geographic impact of Pascal Paillier'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 Pascal Paillier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Paillier more than expected).
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