John Canny

117 papers and 18.4k indexed citations i.

About

John Canny is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, John Canny has authored 117 papers receiving a total of 18.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 26 papers in Control and Systems Engineering. Recurrent topics in John Canny’s work include Robotic Path Planning Algorithms (18 papers), Polynomial and algebraic computation (15 papers) and Computational Geometry and Mesh Generation (15 papers). John Canny is often cited by papers focused on Robotic Path Planning Algorithms (18 papers), Polynomial and algebraic computation (15 papers) and Computational Geometry and Mesh Generation (15 papers). John Canny collaborates with scholars based in United States, France and Russia. John Canny's co-authors include Dinesh Manocha, Bruce R. Donald, Zexiang Li, Eric Paulos and Ioannis Z. Emiris and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Fields of papers citing papers by John Canny

Since Specialization
EngineeringComputer 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 John Canny. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Canny may publish in the future.

Countries citing papers authored by John Canny

Since Specialization
Citations

This map shows the geographic impact of John Canny'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 John Canny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Canny more than expected).

Rankless by CCL
2025