Robert Skilton

32 papers receiving 134 citations

Peers

Robert Skilton
Comparison fields: 5 of 49
  • Human-Computer Interaction 15
  • Industrial and Manufacturing Engineering 24
  • Control and Systems Engineering 42
  • Mechanical Engineering 53
  • Radiological and Ultrasound Technology 6
Replace Matteo Parigi Polverini with:
Matteo Parigi Polverini Italy
George S. Maraslidis Greece
Yuki Nagai Japan
Jairo R. Sánchez Spain
Pengwei Xie China
Jin-Young Choi South Korea
Samir Yitzhak Gadre United States
Haochen Shi China
Gavriel State United States
Pramit Dutta India
Robert Skilton relative to Matteo Parigi Polverini Italy Matteo Parigi Polverini's profile →
Citations per field
00.5×1.5×
Matteo Parigi Polverini · 1×
Citations per year

Countries citing papers authored by Robert Skilton

Since Specialization
Citations

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

Fields of papers citing papers by Robert Skilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202132
2 201813
3 20248
4 20218
5 20197
6 20196
7 20206
8 20206
9 20185
10 20194
11 20244
12 20234
13 20213
14 20203
15 20253
16 20193
17 20203
18 20192
19 20202
20 20202

About Robert Skilton

Robert Skilton is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 37 papers that have together received 137 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (6 papers), Robot Manipulation and Learning (5 papers), Anomaly Detection Techniques and Applications (4 papers), Fault Detection and Control Systems (4 papers), Robotic Path Planning Algorithms (4 papers), Fusion materials and technologies (4 papers), Robotics and Automated Systems (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Human-Computer Interaction (15 citations), Industrial and Manufacturing Engineering (24 citations), Control and Systems Engineering (42 citations), Mechanical Engineering (53 citations) and Radiological and Ultrasound Technology (6 citations). Robert Skilton has collaborated with scholars based in United Kingdom, Finland and Germany. Frequent co-authors include Yang Gao, Robert J. Howell, Ronan J. Kelly, Heikki Handroos, A. Loving, Hanlin Niu, J. Naish, Huapeng Wu, Ming Li and Jonathan Keep. Their work appears in journals such as Fusion Engineering and Design, Robotics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, IEEE Transactions on Plasma Science and Journal of Nuclear Science and Technology.

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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