Peter C. Young

5.0k citations
74 papers · 3.0k · h-index 26

Impact in

Papers in

Peter C. Young

73 papers receiving 2.9k citations

Peers

Peter C. Young
Comparison fields: 5 of 131
  • Control and Systems Engineering 1.8k
  • Statistics, Probability and Uncertainty 310
  • Water Science and Technology 371
  • Environmental Engineering 318
  • Civil and Structural Engineering 479
Replace Peter S.C. Heuberger with:
Peter S.C. Heuberger Netherlands
Jianzhong Zhou China
Niels Kjølstad Poulsen Denmark
R.E. Uhrig United States
Asgeir J. Sørensen Norway
Joseph H. W. Lee Hong Kong
Rommel G. Regis United States
Yingqi Zhang China
Jie Yu China
Rajendra Prasad India
Peter C. Young relative to Peter S.C. Heuberger Netherlands Peter S.C. Heuberger's profile →
Citations per field
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Peter S.C. Heuberger · 1×
Citations per year

Countries citing papers authored by Peter C. Young

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981381
2 1970300
3 2011273
4 1980213
5 2007183
6 1979140
7 1980134
8 2001117
9 1976113
10 201489
11 197683
12 199972
13 197971
14 198566
15 201162
16 200850
17 196843
18 200442
19 201839
20 197736

About Peter C. Young

Peter C. Young is a scholar working on Control and Systems Engineering, Artificial Intelligence, Civil and Structural Engineering, Mechanical Engineering and Water Science and Technology, having authored 74 papers that have together received 3.0k indexed citations. Recurring topics across this work include Control Systems and Identification (52 papers), Fault Detection and Control Systems (45 papers), Advanced Control Systems Optimization (21 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers), Neural Networks and Applications (8 papers), Hydraulic and Pneumatic Systems (4 papers), Probabilistic and Robust Engineering Design (4 papers) and Sensor Technology and Measurement Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (1.8k citations), Statistics, Probability and Uncertainty (310 citations), Water Science and Technology (371 citations), Environmental Engineering (318 citations) and Civil and Structural Engineering (479 citations). Peter C. Young has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Anthony J. Jakeman, Marco Ratto, Andrea Jonathan Pagano, Hugues Garnier, R. E. McMurtrie, John T. Bruun, Marion Gilson, C. James Taylor, Alexandre Janot and P. G. Whitehead. Their work appears in journals such as International Journal of Control, Automatica, Electronics Letters, Control Engineering Practice and IEEE Transactions on Automatic Control.

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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