Malcolm Reynolds
About
Malcolm Reynolds is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Malcolm Reynolds has authored 5 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Malcolm Reynolds’s work include Domain Adaptation and Few-Shot Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Remote Sensing and LiDAR Applications (1 paper). Malcolm Reynolds is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Remote Sensing and LiDAR Applications (1 paper). Malcolm Reynolds collaborates with scholars based in United Kingdom and United States. Malcolm Reynolds's co-authors include Phil Blunsom, Christopher Summerfield, Tim Harley, Greg Wayne, John Agapiou, Adrià Puigdomènech Badia, Yori Zwólš, Edward Grefenstette, Georg Ostrovski and Ivo Danihelka and has published in prestigious journals such as Nature, CiteSeer X (The Pennsylvania State University) and arXiv (Cornell University).
In The Last Decade
Co-authorship network of co-authors of Malcolm Reynolds i
Fields of papers citing papers by Malcolm Reynolds
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 Malcolm Reynolds. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Malcolm Reynolds may publish in the future.
Countries citing papers authored by Malcolm Reynolds
Since SpecializationCitations
This map shows the geographic impact of Malcolm Reynolds'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 Malcolm Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Reynolds more than expected).
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