Michael Happold
About
Michael Happold is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering.
According to data from OpenAlex, Michael Happold has authored 5 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 1 paper in Aerospace Engineering. Recurrent topics in Michael Happold’s work include Image Processing Techniques and Applications (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Neural Network Applications (1 paper). Michael Happold is often cited by papers focused on Image Processing Techniques and Applications (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Neural Network Applications (1 paper). Michael Happold collaborates with scholars based in United States. Michael Happold's co-authors include Deva Ramanan, Gengshan Yang, Mark Ollis, Anthony Stentz, Wesley Huang, Lingji Chen, Chengjie Zhang and Ce Zhang and has published in prestigious journals such as Autonomous Robots, Journal of Field Robotics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
In The Last Decade
Co-authorship network of co-authors of Michael Happold i
Fields of papers citing papers by Michael Happold
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 Michael Happold. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Happold may publish in the future.
Countries citing papers authored by Michael Happold
Since SpecializationCitations
This map shows the geographic impact of Michael Happold'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 Michael Happold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Happold more than expected).
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