John Canny

51.7k citations
249 papers · 31.7k indexed · 4 hit papers · h-index 53

John Canny

245 papers receiving 29.1k citations

Hit Papers

Planning optimal grasps59319832026199720115.0k10.0k15.0k20.0k

Peers

John Canny
Comparison fields: 5 of 227
  • Computer Vision and Pattern Recognition 17.7k
  • Computer Graphics and Computer-Aided Design 1.8k
  • Media Technology 3.4k
  • Human-Computer Interaction 1.4k
  • Industrial and Manufacturing Engineering 1.9k
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Citations per field
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Citations per year

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

The 25 scholars most cited alongside John Canny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Canny Line = papers co-authored together John Canny links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202412
2 20242
3 20230
4 20235
5
Measuring the Reliability of Reinforcement Learning Algorithms
20206
6
Pervasive Analytics and Citizen Science
20141
7 201315
8 201314
9
P4P: practical large-scale privacy-preserving distributed computation robust against malicious users
201036
10
Factor Modeling for Advertisement Targeting
200924
11 200723
12
PACT: A Pattern-Annotated Course Tool
20064
13
Tele-embodiment and shattered presence: reconstructing the body for online interaction
20007
14
A toolkit for non-linear algebra
19954
15
Impulse-Based Dynamic Simulation
199579
16
Robot motion planning with non-holonomic constraints
198916
17
Constructing roadmaps of semi-algebraic sets I: completeness
19899
18
On Detecting Collisions Between Polyhedra.
19843
19
A variational approach to edge detection
198336
20
Finding Edges and Lines in Imagesbreakdown →
1983588

About John Canny

John Canny is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 249 papers that have together received 31.7k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (35 papers), Computational Geometry and Mesh Generation (27 papers), Robot Manipulation and Learning (25 papers), Robotics and Sensor-Based Localization (23 papers), Robotic Mechanisms and Dynamics (23 papers), Polynomial and algebraic computation (21 papers), ICT in Developing Communities (18 papers) and Advanced Numerical Analysis Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (17.7k citations), Computer Graphics and Computer-Aided Design (1.8k citations) and Media Technology (3.4k citations). John Canny has collaborated with scholars based in United States, India and France. Frequent 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. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Automation, Algorithmica, IEEE Transactions on Pattern Analysis and Machine Intelligence and Discrete & Computational Geometry.

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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