Paris Perdikaris

69 papers and 14.7k indexed citations i.

About

Paris Perdikaris is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Paris Perdikaris has authored 69 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistical and Nonlinear Physics, 22 papers in Artificial Intelligence and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Paris Perdikaris’s work include Model Reduction and Neural Networks (36 papers), Gaussian Processes and Bayesian Inference (16 papers) and Probabilistic and Robust Engineering Design (16 papers). Paris Perdikaris is often cited by papers focused on Model Reduction and Neural Networks (36 papers), Gaussian Processes and Bayesian Inference (16 papers) and Probabilistic and Robust Engineering Design (16 papers). Paris Perdikaris collaborates with scholars based in United States, Chile and Switzerland. Paris Perdikaris's co-authors include George Em Karniadakis, Sifan Wang, Francisco Sahli Costabal, Ellen Kuhl and Yibo Yang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Fluid Mechanics.

In The Last Decade

Fields of papers citing papers by Paris Perdikaris

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 Paris Perdikaris. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Paris Perdikaris may publish in the future.

Countries citing papers authored by Paris Perdikaris

Since Specialization
Citations

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

Rankless by CCL
2025