R. Sutton

1.2k citations
58 papers · 911 indexed · h-index 16

R. Sutton

56 papers receiving 849 citations

Peers

R. Sutton
Comparison fields: 5 of 96
  • Ocean Engineering 427
  • Control and Systems Engineering 411
  • Aerospace Engineering 204
  • Artificial Intelligence 256
  • Computer Vision and Pattern Recognition 155
Replace Zoran Vukić with:
Zoran Vukić Croatia
G. Veruggio Italy
Edin Omerdić Ireland
Roberto Galeazzi Denmark
Jérôme Jouffroy Denmark
Tomás Salgado-Jiménez Mexico
Daxiong Ji China
Luis G. García-Valdovinos Mexico
Ling Chen China
Lei Wan China
R. Sutton relative to Zoran Vukić Croatia Zoran Vukić's profile →
Citations per field
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Zoran Vukić · 1×
Citations per year

Countries citing papers authored by R. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by R. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside R. Sutton, 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 R. Sutton Line = papers co-authored together R. Sutton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20145
2
An Assessment of a Modified Optimal Control Strategy as Applied to the Control of an Unmanned Surface Vehicle
20081
3 200710
4 2004185
5 20043
6 20037
7 20037
8 20036
9 200329
10 200317
11 200226
12 20023
13 20003
14 200017
15 199810
16
Bottom profiling control of an UUV using neural networks
19931
17
Monitoring and control of nuclear plant using fuzzy logic
19931
18
A rule-based approach to the ship roll stabilisation problem
19892
19 198921
20 19878

About R. Sutton

R. Sutton is a scholar working on Control and Systems Engineering, Ocean Engineering and Artificial Intelligence, having authored 58 papers that have together received 911 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (29 papers), Underwater Vehicles and Communication Systems (18 papers), Fuzzy Logic and Control Systems (12 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Fault Detection and Control Systems (8 papers), Robotic Path Planning Algorithms (6 papers), Ship Hydrodynamics and Maneuverability (6 papers) and Advanced Control Systems Optimization (5 papers). The work is most often cited by research in Ocean Engineering (427 citations), Control and Systems Engineering (411 citations) and Aerospace Engineering (204 citations). R. Sutton has collaborated with scholars based in United Kingdom, Italy and Poland. Frequent co-authors include Wasif Naeem, J. Chudley, A. Tiano, G.N. Roberts, S.M. Ahmad, Tao Xu, D.R. Towill, Roland S. Burns, John Summerscales and M.N. James. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment, Journal of Navigation, International Journal of Adaptive Control and Signal Processing, Control Engineering Practice and Mechatronics.

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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