J. Kay
About
J. Kay is a scholar working on Artificial Intelligence, Information Systems and Cell Biology.
According to data from OpenAlex, J. Kay has authored 2 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Information Systems and 0 papers in Cell Biology. Recurrent topics in J. Kay’s work include Data Mining Algorithms and Applications (1 paper), Imbalanced Data Classification Techniques (1 paper) and Machine Learning and Data Classification (1 paper). J. Kay is often cited by papers focused on Data Mining Algorithms and Applications (1 paper), Imbalanced Data Classification Techniques (1 paper) and Machine Learning and Data Classification (1 paper). J. Kay collaborates with scholars based in Italy. J. Kay's co-authors include Floriana Esposito, Donato Malerba, A. Jameson and Giovanni Semeraro and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IRAL - International Review of Applied Linguistics in Language Teaching.
In The Last Decade
Fields of papers citing papers by J. Kay
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 J. Kay. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where J. Kay may publish in the future.
Countries citing papers authored by J. Kay
Since SpecializationCitations
This map shows the geographic impact of J. Kay'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 J. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kay more than expected).
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