John Canny

52.3k citations
249 papers · 32.0k · 4 hit papers · h-index 54

Impact in

Papers in

John Canny

246 papers receiving 29.5k citations

John Canny's Hit Papers

Planning optimal grasps 2003 · 597 citations
5970+14+28Years since publication5.0k10.0k15.0k20.0k

Peers

John Canny
Comparison fields: 5 of 225
  • Computer Vision and Pattern Recognition 17.8k
  • Computer Graphics and Computer-Aided Design 1.8k
  • Media Technology 3.4k
  • Human-Computer Interaction 1.5k
  • Industrial and Manufacturing Engineering 1.9k
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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-authors

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

Showing the 20 most-cited of 249 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Computational Approach to Edge Detection
Hit paper breakdown →
198620372
2
The complexity of robot motion planning
Hit paper breakdown →
1988965
3
Planning optimal grasps
Hit paper breakdown →
2003597
4
Finding Edges and Lines in Images
Hit paper breakdown →
1983590
5 1987370
6 2002342
7 1993323
8 2005292
9 2002290
10 1990280
11 1988278
12 1995243
13 1986239
14 1994220
15 1993209
16 2002167
17
Efficient collision detection for animation and robotics
1993166
18 2010163
19 1988123
20 2009121

About John Canny

John Canny is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Information Systems and Computer Graphics and Computer-Aided Design, having authored 249 papers that have together received 32.0k 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), Robotic Mechanisms and Dynamics (23 papers), Robotics and Sensor-Based Localization (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 (17.8k citations), Computer Graphics and Computer-Aided Design (1.8k citations), Media Technology (3.4k citations), Human-Computer Interaction (1.5k citations) and Industrial and Manufacturing Engineering (1.9k 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, Algorithmica, IEEE Transactions on Robotics and Automation, IEEE Transactions on Pattern Analysis and Machine Intelligence and SIAM Journal on Computing.

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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