Peter Silson

31 papers receiving 424 citations

Peers

Peter Silson
Comparison fields: 5 of 45
  • Aerospace Engineering 332
  • Artificial Intelligence 168
  • Computer Vision and Pattern Recognition 103
  • Oceanography 52
  • Control and Systems Engineering 81
Replace J.N. Driessen with:
J.N. Driessen Netherlands
Mohammad Bozorg Iran
Asghar A. Razzaqi China
John Mullane Singapore
Sherry E. Hammel United States
Panlong Wu China
Torleiv H. Bryne Norway
H. Driessen Netherlands
Won‐Sang Ra South Korea
Peter Silson relative to J.N. Driessen Netherlands J.N. Driessen's profile →
Citations per field
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J.N. Driessen · 1×
Citations per year

Countries citing papers authored by Peter Silson

Since Specialization
Citations

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

Fields of papers citing papers by Peter Silson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Peter Silson, 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 Peter Silson Line = papers co-authored together Peter Silson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011165
2 201138
3 200731
4 200829
5 201127
6 200426
7 198417
8 200816
9 198412
10 20109
11 20098
12 20048
13 20147
14 20096
15 20035
16 20114
17 20054
18 20104
19 20094
20
On invariance conditions in variable structure controllers
19883

About Peter Silson

Peter Silson is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 32 papers that have together received 442 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (10 papers), Numerical Methods and Algorithms (7 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Inertial Sensor and Navigation (5 papers), Control Systems and Identification (4 papers), Evolutionary Algorithms and Applications (4 papers) and Guidance and Control Systems (3 papers). The work is most often cited by research in Aerospace Engineering (332 citations), Artificial Intelligence (168 citations), Computer Vision and Pattern Recognition (103 citations), Oceanography (52 citations) and Control and Systems Engineering (81 citations). Peter Silson has collaborated with scholars based in United Kingdom and Canada. Frequent co-authors include Brian White, Antonios Tsourdos, Seungkeun Kim, Madhavan Shanmugavel, Nabil Aouf, Simon Jordan, R. Żbikowski, J.T. Economou, Al Savvaris and Rafał Żbikowski. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering, Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering and Transactions of the Canadian Society for Mechanical 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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