Jamie Hayes
About
Jamie Hayes is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Jamie Hayes has authored 18 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jamie Hayes’s work include Adversarial Robustness in Machine Learning (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Network Security and Intrusion Detection (6 papers). Jamie Hayes is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Network Security and Intrusion Detection (6 papers). Jamie Hayes collaborates with scholars based in United Kingdom, United States and Pakistan. Jamie Hayes's co-authors include George Danezis, Luca Melis, Emiliano De Cristofaro, Donald Michie, Marc Juárez, Borja Balle, Olga Ohrimenko, Enn Tyugu, András György and Chongli Qin and has published in prestigious journals such as UCL Discovery (University College London), Engineering & Technology and USENIX Security Symposium.
In The Last Decade
Co-authorship network of co-authors of Jamie Hayes i
Fields of papers citing papers by Jamie Hayes
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 Jamie Hayes. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jamie Hayes may publish in the future.
Countries citing papers authored by Jamie Hayes
Since SpecializationCitations
This map shows the geographic impact of Jamie Hayes'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 Jamie Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Hayes more than expected).
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