Peter M. Young

3.1k citations
87 papers · 2.0k · h-index 24

Impact in

Papers in

Peter M. Young

82 papers receiving 1.9k citations

Peers

Peter M. Young
Comparison fields: 5 of 115
  • Control and Systems Engineering 1.4k
  • Statistics, Probability and Uncertainty 298
  • Numerical Analysis 223
  • Computational Theory and Mathematics 354
  • Energy Engineering and Power Technology 48
Replace Boris Houska with:
Boris Houska China
Germain García France
Julio H. Braslavsky Australia
V. P. Singh India
Alexandre Trofino Brazil
J.M. Gomes da Silva Brazil
J. Ackermann Germany
Dimitri Jeltsema Netherlands
H. Unbehauen Germany
Antonio Sala Spain
Peter M. Young relative to Boris Houska China Boris Houska's profile →
Citations per field
00.5×2.8×
Boris Houska · 1×
Citations per year

Countries citing papers authored by Peter M. Young

Since Specialization
Citations

This map shows the geographic impact of Peter M. 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 M. 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 M. Young more than expected).

Fields of papers citing papers by Peter M. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994252
2 1995239
3 2014129
4 1993111
5 199080
6 199271
7 199569
8 200856
9 200254
10 200151
11 198451
12 199538
13 199737
14
True Digital Control: Statistical Modelling and Non-Minimal State Space Design
201337
15 199637
16 200435
17 199635
18 199732
19 200632
20 200930

About Peter M. Young

Peter M. Young is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Mechanical Engineering, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Control Systems and Identification (21 papers), Stability and Control of Uncertain Systems (21 papers), Advanced Control Systems Optimization (14 papers), Fault Detection and Control Systems (13 papers), Probabilistic and Robust Engineering Design (12 papers), Matrix Theory and Algorithms (8 papers), Iterative Learning Control Systems (6 papers) and Microgrid Control and Optimization (5 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Statistics, Probability and Uncertainty (298 citations), Numerical Analysis (223 citations), Computational Theory and Mathematics (354 citations) and Energy Engineering and Power Technology (48 citations). Peter M. Young has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include John C. Doyle, Manfred Morari, M.P. Newlin, Daniel Zimmerle, Anders Rantzer, Bo Bernhardsson, E.J. Davison, Li Qiu, Yi Han and Abhishek Jain. Their work appears in journals such as International Journal of Robust and Nonlinear Control, IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Control Systems Technology and Energy and AI.

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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