Kai Arulkumaran
About
Kai Arulkumaran is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience.
According to data from OpenAlex, Kai Arulkumaran has authored 11 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Kai Arulkumaran’s work include Reinforcement Learning in Robotics (5 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Artificial Intelligence in Games (3 papers). Kai Arulkumaran is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Artificial Intelligence in Games (3 papers). Kai Arulkumaran collaborates with scholars based in United Kingdom, United States and Japan. Kai Arulkumaran's co-authors include Anil A. Bharath, Marc Peter Deisenroth, Miles Brundage, Antonia Creswell, Biswa Sengupta, Tom White, Vincent Dumoulin, Antoine Cully, Julian Togelius and Jess Whittlestone and has published in prestigious journals such as Neurocomputing, IEEE Signal Processing Magazine and Computer Vision and Image Understanding.
In The Last Decade
Co-authorship network of co-authors of Kai Arulkumaran i
Fields of papers citing papers by Kai Arulkumaran
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 Kai Arulkumaran. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Arulkumaran may publish in the future.
Countries citing papers authored by Kai Arulkumaran
Since SpecializationCitations
This map shows the geographic impact of Kai Arulkumaran'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 Kai Arulkumaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Arulkumaran more than expected).
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