Jonathan Corney

2.5k citations
148 papers · 1.7k indexed · h-index 22

Jonathan Corney

134 papers receiving 1.6k citations

Peers

Jonathan Corney
Comparison fields: 5 of 120
  • Industrial and Manufacturing Engineering 736
  • Computer Graphics and Computer-Aided Design 101
  • Automotive Engineering 260
  • Computational Mechanics 368
  • Computer Science Applications 96
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M. Shpitalni Israel
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Corney

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Corney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Corney. 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 Jonathan Corney. The network helps show where Jonathan Corney may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jonathan Corney, 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 Jonathan Corney Line = papers co-authored together Jonathan Corney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20246
4 20240
5 20231
6 20230
7 20230
8 20224
9 20203
10 201998
11 20185
12 201412
13
A novel haptic model and environment for maxillofacial surgical operation planning and manipulation
20130
14 201330
15
Validation of purdue engineering shape benchmark clusters by crowdsourcing
20095
16
Geometric Reasoning With a Virtual Workforce (Crowdsourcing for CAD/CAM)
20081
17 20071
18 200732
19 200616
20
Automatic classification of 2 1/2 D components
19923

About Jonathan Corney

Jonathan Corney is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering, Computer Science Applications, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 148 papers that have together received 1.7k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (63 papers), Additive Manufacturing and 3D Printing Technologies (24 papers), Advanced Numerical Analysis Techniques (20 papers), 3D Shape Modeling and Analysis (13 papers), Image Processing and 3D Reconstruction (13 papers), Design Education and Practice (10 papers), Industrial Vision Systems and Defect Detection (10 papers) and Mobile Crowdsensing and Crowdsourcing (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (736 citations), Computer Graphics and Computer-Aided Design (101 citations), Automotive Engineering (260 citations), Computational Mechanics (368 citations) and Computer Science Applications (96 citations). Jonathan Corney has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include D. E. R. Clark, Theodore Lim, Carmen Torres-Sánchez, James Millar Ritchie, Raymond Sung, Gokula Vasantha, David Cunningham, William C. Regli, J.B.C. Davies and Rajkumar Roy. Their work appears in journals such as Computer-Aided Design, Assembly Automation, The International Journal of Advanced Manufacturing Technology, International Journal of Production Research and Journal of Computing and Information Science in Engineering.

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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