John Canny

365 total papers · 51.5k total citations
82 papers, 17.7k citations indexed

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 82 papers receiving a total of 17.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 17 papers in Control and Systems Engineering. Recurrent topics in John Canny’s work include Robotic Path Planning Algorithms (14 papers), Computational Geometry and Mesh Generation (13 papers) and Polynomial and algebraic computation (12 papers). John Canny is often cited by papers focused on Robotic Path Planning Algorithms (14 papers), Computational Geometry and Mesh Generation (13 papers) and Polynomial and algebraic computation (12 papers). John Canny collaborates with scholars based in United States, France and Russia. John Canny's co-authors include Dinesh Manocha, Carlo Ferrari, Zexiang Li, Ioannis Z. Emiris, Bruce R. Donald, Ming C. Lin, John H. Reif, Patrick Xavier, Eric Paulos and Brian Mirtich and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Artificial Intelligence.

Co-authorship network of co-authors of John Canny

This figure shows the co-authorship network connecting the top 25 collaborators of John Canny. A scholar is included among the top collaborators of John Canny based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Canny. John Canny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

John Canny

79 papers receiving 16.5k citations

Fields of papers citing papers by John Canny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Canny. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Canny. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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