Rob Buckingham

19 papers receiving 584 citations

Peers

Rob Buckingham
Comparison fields: 5 of 82
  • Control and Systems Engineering 379
  • Biomedical Engineering 387
  • Computer Vision and Pattern Recognition 117
  • Mechanical Engineering 195
  • Aerospace Engineering 55
Replace Mathias Nickl with:
Mathias Nickl Germany
Kwok Wai Samuel Au Hong Kong
Jérémie Dequidt France
Toshio Takayama Japan
Konrad Leibrandt United Kingdom
Franz Hacker Germany
Andreas Tobergte Germany
Junhyoung Ha South Korea
Jianzhong Shang United Kingdom
Mohsen Khadem United Kingdom
Rob Buckingham relative to Mathias Nickl Germany Mathias Nickl's profile →
Citations per field
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Mathias Nickl · 1×
Citations per year

Countries citing papers authored by Rob Buckingham

Since Specialization
Citations

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

Fields of papers citing papers by Rob Buckingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Rob Buckingham, 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 Rob Buckingham Line = papers co-authored together Rob Buckingham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012117
2 200292
3 199589
4 199775
5 200760
6 201647
7 200545
8 200618
9 200113
10 199712
11 199310
12 19968
13 20046
14 20045
15 20034
16 19944
17 20063
18 20022
19
Industrial multi-arm handling system for automated manufacture of composite broadgoods
19921
20 19890

About Rob Buckingham

Rob Buckingham is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 21 papers that have together received 611 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Robotic Path Planning Algorithms (7 papers), Soft Robotics and Applications (5 papers), Robotic Mechanisms and Dynamics (5 papers), Robotics and Sensor-Based Localization (2 papers), Anatomy and Medical Technology (2 papers), Surgical Simulation and Training (2 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Control and Systems Engineering (379 citations), Biomedical Engineering (387 citations), Computer Vision and Pattern Recognition (117 citations), Mechanical Engineering (195 citations) and Aerospace Engineering (55 citations). Rob Buckingham has collaborated with scholars based in United Kingdom, Germany and Türkiye. Frequent co-authors include Andrew Graham, Erdinç Şahin Çonkur, A. Loving, Vilas K. Chitrakaran, Peter Davey, Andrew Harrison, Cory D. Hauck, Maša Prodanović, Pierre A. Gremaud and J. Margetson. Their work appears in journals such as Industrial Robot the international journal of robotics research and application, SAE technical papers on CD-ROM/SAE technical paper series, Robotica, Mechatronics and International Journal for Numerical Methods 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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