John Canny

51.7k total citations · 4 hit papers
249 papers, 31.7k 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 249 papers receiving a total of 31.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 52 papers in Control and Systems Engineering. Recurrent topics in John Canny's work include Robotic Path Planning Algorithms (35 papers), Computational Geometry and Mesh Generation (27 papers) and Robot Manipulation and Learning (25 papers). John Canny is often cited by papers focused on Robotic Path Planning Algorithms (35 papers), Computational Geometry and Mesh Generation (27 papers) and Robot Manipulation and Learning (25 papers). John Canny collaborates with scholars based in United States, India and France. John Canny's co-authors include John H. Reif, Carlo Ferrari, Ming C. Lin, Dinesh Manocha, Brian Mirtich, Zexiang Li, Bruce R. Donald, Eric Paulos, Ioannis Z. Emiris and David T. Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Artificial Intelligence.

In The Last Decade

John Canny

245 papers receiving 29.1k citations

Hit Papers

A Computational Approach to Edge Detection 1983 2026 1997 2011 1986 1988 2003 1983 5.0k 10.0k 15.0k 20.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Canny United States 53 17.7k 4.2k 3.9k 3.4k 3.3k 249 31.7k
Takeo Kanade United States 102 37.6k 2.1× 8.3k 2.0× 3.6k 0.9× 5.3k 1.5× 4.0k 1.2× 607 48.3k
Demetri Terzopoulos United States 61 19.3k 1.1× 2.3k 0.5× 3.7k 1.0× 1.6k 0.5× 3.0k 0.9× 249 29.1k
Dragomir Anguelov United States 30 21.5k 1.2× 2.9k 0.7× 1.6k 0.4× 3.2k 0.9× 10.5k 3.2× 57 37.3k
Jean Ponce United States 51 18.7k 1.1× 3.9k 0.9× 1.4k 0.4× 4.1k 1.2× 3.6k 1.1× 172 24.8k
Tomaso Poggio United States 102 23.6k 1.3× 2.0k 0.5× 3.1k 0.8× 3.0k 0.9× 12.1k 3.6× 424 51.0k
Pascal Fua Switzerland 73 22.7k 1.3× 8.7k 2.0× 2.1k 0.5× 3.2k 0.9× 3.7k 1.1× 398 29.8k
Baining Guo China 59 19.0k 1.1× 2.0k 0.5× 1.3k 0.3× 4.0k 1.2× 5.7k 1.7× 255 30.8k
Berthold K. P. Horn United States 47 18.9k 1.1× 5.7k 1.3× 913 0.2× 2.9k 0.8× 1.5k 0.4× 157 27.3k
Christopher K. I. Williams United Kingdom 43 19.5k 1.1× 3.3k 0.8× 3.8k 1.0× 2.6k 0.8× 16.6k 5.0× 123 45.3k
Alan Yuille United States 96 31.5k 1.8× 4.2k 1.0× 936 0.2× 5.3k 1.6× 13.5k 4.0× 571 51.8k

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).

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.

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.

All Works

20 of 20 papers shown
1.
Chan, David W., et al.. (2024). ALOHa: A New Measure for Hallucination in Captioning Models. 342–357. 2 indexed citations
2.
Canny, John, et al.. (2024). Moral Foundations of Large Language Models. 17737–17752. 12 indexed citations
5.
Chan, Stephanie C. Y., et al.. (2020). Measuring the Reliability of Reinforcement Learning Algorithms. arXiv (Cornell University). 6 indexed citations
6.
Laan, Mark J. van der, et al.. (2013). Subsemble: an ensemble method for combining subset-specific algorithm fits. Journal of Applied Statistics. 41(6). 1247–1259. 15 indexed citations
7.
Canny, John, David Hall, & Dan Klein. (2013). A Multi-Teraflop Constituency Parser using GPUs. 1898–1907. 14 indexed citations
8.
Chang, Keng-hao, D. Grant Fisher, John Canny, & Björn Hartmann. (2011). How's my mood and stress?: an efficient speech analysis library for unobtrusive monitoring on mobile phones. 71–77. 34 indexed citations
9.
Duan, Yitao, John Canny, & Justin Zhan. (2010). P4P: practical large-scale privacy-preserving distributed computation robust against malicious users. USENIX Security Symposium. 14–14. 36 indexed citations
10.
Chen, Ye, Michael Kapralov, John Canny, & Dmitry Pavlov. (2009). Factor Modeling for Advertisement Targeting. Neural Information Processing Systems. 22. 324–332. 24 indexed citations
12.
Canny, John, et al.. (2006). PACT: A Pattern-Annotated Course Tool. EdMedia: World Conference on Educational Media and Technology. 2006(1). 2054–2060. 4 indexed citations
13.
Canny, John. (2002). Some techniques for privacy in ubicomp and context-aware applications. 5 indexed citations
14.
Mirtich, Brian & John Canny. (1995). Impulse-Based Dynamic Simulation. UC Berkeley. 407–418. 79 indexed citations
15.
Canny, John. (1995). A toolkit for non-linear algebra. 513–535. 4 indexed citations
16.
Canny, John. (1989). Constructing roadmaps of semi-algebraic sets I: completeness. MIT Press eBooks. 203–222. 9 indexed citations
17.
Li, Zexiang, John Canny, & G. Heinzinger. (1989). Robot motion planning with non-holonomic constraints. International Symposium on Robotics. 309–316. 16 indexed citations
18.
Canny, John. (1988). Exact solution of some robot motion planning problems. International Symposium on Robotics. 47(5). 505–513. 5 indexed citations
19.
Canny, John. (1983). Finding Edges and Lines in Images. DSpace@MIT (Massachusetts Institute of Technology). 16. 588 indexed citations breakdown →
20.
Canny, John. (1983). A variational approach to edge detection. National Conference on Artificial Intelligence. 54–58. 36 indexed citations

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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