Geetha Jagannathan
About
Geetha Jagannathan has authored 4 papers that have received a total of 84 indexed citations.
This includes 3 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Management Science and Operations Research. The topics of these papers are Privacy-Preserving Technologies in Data (3 papers), Cryptography and Data Security (3 papers) and Stochastic Gradient Optimization Techniques (1 paper). Geetha Jagannathan is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), Cryptography and Data Security (3 papers) and Stochastic Gradient Optimization Techniques (1 paper) and collaborates with scholars based in United States. Geetha Jagannathan's co-authors include Krishnan Pillaipakkamnatt, Rebecca N. Wright, Anna Choromanska, Claire Monteleoni and Michael A. Bender and has published in prestigious journals such as Theoretical Computer Science, Data & Knowledge Engineering and ACM Journal of Experimental Algorithmics.
In The Last Decade
Fields of papers published by Geetha Jagannathan
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
Countries citing papers authored by Geetha Jagannathan
Since SpecializationCitations
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