Sheldon Andrews

41 papers receiving 387 citations

Peers

Sheldon Andrews
Comparison fields: 5 of 44
  • Human-Computer Interaction 98
  • Computer Graphics and Computer-Aided Design 44
  • Control and Systems Engineering 207
  • Computer Vision and Pattern Recognition 121
  • Cognitive Neuroscience 99
Replace Yoshitsugu Kamiya with:
Yoshitsugu Kamiya Japan
Jacob Varley United States
Stephen A. Ehmann United States
Felipe Bacim United States
Arthur D. Gregory United States
Viktor Makoviychuk United Kingdom
Claude Cadoz France
Krasimir D. Kolarov United States
F. Kishino Japan
Ryan Hoque United States
Sheldon Andrews relative to Yoshitsugu Kamiya Japan Yoshitsugu Kamiya's profile →
Citations per field
00.5×5×10×16.8×
Yoshitsugu Kamiya · 1×
Citations per year

Countries citing papers authored by Sheldon Andrews

Since Specialization
Citations

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

Fields of papers citing papers by Sheldon Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201339
3 201033
4 200833
5 200729
6 202228
7 201723
8 201921
9 200716
10 202216
11 202314
12 201912
13 20178
14 20188
15 20197
16 20217
17 20125
18 20135
19 20253
20 20213

About Sheldon Andrews

Sheldon Andrews is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Mechanical Engineering and Computational Mechanics, having authored 46 papers that have together received 399 indexed citations. Recurring topics across this work include Human Motion and Animation (21 papers), Dynamics and Control of Mechanical Systems (12 papers), Robot Manipulation and Learning (12 papers), Human Pose and Action Recognition (11 papers), Robotic Mechanisms and Dynamics (9 papers), Teleoperation and Haptic Systems (6 papers), Tactile and Sensory Interactions (5 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Human-Computer Interaction (98 citations), Computer Graphics and Computer-Aided Design (44 citations), Control and Systems Engineering (207 citations), Computer Vision and Pattern Recognition (121 citations) and Cognitive Neuroscience (99 citations). Sheldon Andrews has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Paul G. Kry, Jochen Lang, Kenny Erleben, Marek Teichmann, Kenny Mitchell, Taku Komura, Leonid Sigal, Iván Huerta, Zachary Ferguson and Atif M. Alamri. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics and Journal of Fluency Disorders.

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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