David Meger
About
David Meger is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering.
According to data from OpenAlex, David Meger has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 12 papers in Aerospace Engineering. Recurrent topics in David Meger’s work include Reinforcement Learning in Robotics (11 papers), Robotics and Sensor-Based Localization (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). David Meger is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Robotics and Sensor-Based Localization (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). David Meger collaborates with scholars based in Canada, United States and United Kingdom. David Meger's co-authors include Doina Precup, Joëlle Pineau, Peter Henderson, Philip Bachman, Riashat Islam, Scott Fujimoto, Gregory Dudek, Herke van Hoof, James J. Little and Ioannis Rekleitis and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Robotics and Robotics and Autonomous Systems.
In The Last Decade
Co-authorship network of co-authors of David Meger i
Fields of papers citing papers by David Meger
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 David Meger. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where David Meger may publish in the future.
Countries citing papers authored by David Meger
Since SpecializationCitations
This map shows the geographic impact of David Meger'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 David Meger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Meger more than expected).
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