C.S. Cox

556 citations
56 papers · 267 · h-index 8

Impact in

Papers in

    • Fault Detection and Control Systems 22
    • Advanced Control Systems Optimization 13
    • Advanced Control Systems Design 10
    • Control Systems and Identification 10
    • Real-time simulation and control systems 6
    • Hydraulic and Pneumatic Systems 7

C.S. Cox

47 papers receiving 238 citations

Peers

C.S. Cox
Comparison fields: 5 of 64
  • Control and Systems Engineering 144
  • Water Science and Technology 34
  • Industrial and Manufacturing Engineering 17
  • Artificial Intelligence 55
  • Mechanical Engineering 49
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Yanrong Lu China
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Chai Tian-you China
A.M. Morshedi United States
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Citations per field
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Citations per year

Countries citing papers authored by C.S. Cox

Since Specialization
Citations

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

Fields of papers citing papers by C.S. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.S. Cox. 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 C.S. Cox. The network helps show where C.S. Cox may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200526
2
A multi-objective genetic algorithm approach to feature selection in neural and fuzzy modeling
200122
3 198617
4 200316
5 201514
6 199014
7 199711
8 20199
9 19877
10 20037
11 20007
12 20116
13 19966
14 19925
15 19985
16
The robust control of a modern electropneumatic actuator
19885
17 20105
18 19955
19 19954
20 19964

About C.S. Cox

C.S. Cox is a scholar working on Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering and Civil and Structural Engineering, having authored 56 papers that have together received 267 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (22 papers), Advanced Control Systems Optimization (13 papers), Advanced Control Systems Design (10 papers), Control Systems and Identification (10 papers), Hydraulic and Pneumatic Systems (7 papers), Real-time simulation and control systems (6 papers), Neural Networks and Applications (6 papers) and Water Quality Monitoring and Analysis (6 papers). The work is most often cited by research in Control and Systems Engineering (144 citations), Water Science and Technology (34 citations), Industrial and Manufacturing Engineering (17 citations), Artificial Intelligence (55 citations) and Mechanical Engineering (49 citations). C.S. Cox has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Ian French, Christos Emmanouilidis, John MacIntyre, Andrew Hunter, Ian Fletcher, Thomas Böhme, Michael Short, Josef Börcsök, Elizabeth Freeman and M.J. Willis. Their work appears in journals such as Applied Mathematical Modelling, Kybernetika, Process Safety and Environmental Protection, Control Engineering Practice and Natural Computing.

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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