Philip Torr
About
Philip Torr is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering.
According to data from OpenAlex, Philip Torr has authored 7 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Philip Torr’s work include Multimodal Machine Learning Applications (2 papers), CCD and CMOS Imaging Sensors (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). Philip Torr is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), CCD and CMOS Imaging Sensors (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). Philip Torr collaborates with scholars based in United Kingdom, Germany and Hong Kong. Philip Torr's co-authors include Hengshuang Zhao, Jiaqi Wang, Zhao Yang, Yansong Tang, Lubor Ladický, William F. Clocksin, Chris Russell, Paul Sturgess, Yalın Baştanlar and Sunando Sengupta and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, University of Hertfordshire Research Archive (University of Hertfordshire) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
In The Last Decade
Co-authorship network of co-authors of Philip Torr i
Fields of papers citing papers by Philip Torr
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 Philip Torr. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Philip Torr may publish in the future.
Countries citing papers authored by Philip Torr
Since SpecializationCitations
This map shows the geographic impact of Philip Torr'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 Philip Torr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Torr more than expected).
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