John Shawe‐Taylor
About
John Shawe‐Taylor is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology.
According to data from OpenAlex, John Shawe‐Taylor has authored 238 papers receiving a total of 22.2k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Artificial Intelligence, 63 papers in Computer Vision and Pattern Recognition and 22 papers in Molecular Biology. Recurrent topics in John Shawe‐Taylor’s work include Machine Learning and Algorithms (50 papers), Neural Networks and Applications (40 papers) and Face and Expression Recognition (37 papers). John Shawe‐Taylor is often cited by papers focused on Machine Learning and Algorithms (50 papers), Neural Networks and Applications (40 papers) and Face and Expression Recognition (37 papers). John Shawe‐Taylor collaborates with scholars based in United Kingdom, United States and Australia. John Shawe‐Taylor's co-authors include Nello Cristianini, John Platt, Robert C. Williamson, David R. Hardoon, Bernhard Schölkopf, Alex Smola, Sándor Szedmák, Shiliang Sun, Martin Anthony and Huma Lodhi and has published in prestigious journals such as Bioinformatics, PLoS ONE and NeuroImage.
In The Last Decade
Co-authorship network of co-authors of John Shawe‐Taylor i
Fields of papers citing papers by John Shawe‐Taylor
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 John Shawe‐Taylor. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Shawe‐Taylor may publish in the future.
Countries citing papers authored by John Shawe‐Taylor
Since SpecializationCitations
This map shows the geographic impact of John Shawe‐Taylor'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 John Shawe‐Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Shawe‐Taylor more than expected).
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