Peter J. Campo

1.9k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Peter J. Campo is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Peter J. Campo has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 1 paper in Industrial and Manufacturing Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Peter J. Campo's work include Advanced Control Systems Optimization (8 papers), Fault Detection and Control Systems (3 papers) and Control Systems and Identification (3 papers). Peter J. Campo is often cited by papers focused on Advanced Control Systems Optimization (8 papers), Fault Detection and Control Systems (3 papers) and Control Systems and Identification (3 papers). Peter J. Campo collaborates with scholars based in United States and Ireland. Peter J. Campo's co-authors include Manfred Morari, C. N. Nett and Mayuresh V. Kothare and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Industrial & Engineering Chemistry Research.

In The Last Decade

Peter J. Campo

9 papers receiving 1.4k citations

Hit Papers

A unified framework for the study of anti-windup designs 1994 2026 2004 2015 1994 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A unified framework for the study of anti-windup designs
    1994 767 citations Mayuresh V. Kothare, Peter J. Campo et al. Automatica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter J. Campo United States 7 1.4k 179 112 68 61 9 1.5k
G. Grimm United States 13 1.0k 0.8× 118 0.7× 66 0.6× 41 0.6× 63 1.0× 17 1.1k
Mayuresh V. Kothare United States 14 738 0.5× 111 0.6× 89 0.8× 32 0.5× 56 0.9× 28 956
Oded Yaniv Israel 16 897 0.7× 118 0.7× 170 1.5× 28 0.4× 125 2.0× 64 1.1k
Zongli Lin United States 16 1.3k 0.9× 82 0.5× 115 1.0× 33 0.5× 114 1.9× 40 1.4k
Francisco Gordillo Spain 22 1.1k 0.8× 506 2.8× 101 0.9× 26 0.4× 58 1.0× 112 1.6k
Nusret Tan Türkiye 23 1.5k 1.1× 358 2.0× 92 0.8× 107 1.6× 49 0.8× 108 1.7k
C.M. Astorga‐Zaragoza Mexico 19 925 0.7× 81 0.5× 140 1.3× 37 0.5× 32 0.5× 112 1.2k
Patrick Lanusse France 19 1.3k 0.9× 220 1.2× 156 1.4× 88 1.3× 42 0.7× 75 1.5k
Emmanuel Prempain United Kingdom 13 570 0.4× 178 1.0× 98 0.9× 37 0.5× 263 4.3× 51 992
Alex Poznyak Mexico 13 936 0.7× 144 0.8× 131 1.2× 26 0.4× 60 1.0× 40 1.1k

Countries citing papers authored by Peter J. Campo

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Campo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Campo

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Campo. A scholar is included among the top collaborators of Peter J. Campo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter J. Campo. Peter J. Campo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Campo, Peter J.. (2002). Studies in robust control of systems subject to constraints. CaltechTHESIS (California Institute of Technology). 2 indexed citations
2.
Kothare, Mayuresh V., Peter J. Campo, Manfred Morari, & C. N. Nett. (1994). A unified framework for the study of anti-windup designs. Automatica. 30(12). 1869–1883. 767 indexed citations breakdown →
3.
Campo, Peter J. & Manfred Morari. (1994). Achievable closed-loop properties of systems under decentralized control: conditions involving the steady-state gain. IEEE Transactions on Automatic Control. 39(5). 932–943. 150 indexed citations
4.
Campo, Peter J. & Manfred Morari. (1990). Robust control of processes subject to saturation nonlinearities. Computers & Chemical Engineering. 14(4-5). 343–358. 211 indexed citations
5.
Campo, Peter J. & Manfred Morari. (1989). Model predictive optimal averaging level control. AIChE Journal. 35(4). 579–591. 48 indexed citations
6.
Campo, Peter J., Manfred Morari, & C. N. Nett. (1989). Multivariable Anti-Windup and Bumpless Transfer: A General Theory. 1706–1711. 100 indexed citations
7.
Campo, Peter J. & Manfred Morari. (1987). Robust Model Predictive Control. American Control Conference. 1021–1026. 174 indexed citations
8.
Morari, Manfred & Peter J. Campo. (1987). "Internal model control. 4. PID controller design." Reply to comments. Industrial & Engineering Chemistry Research. 26(10). 2163–2163. 3 indexed citations
9.
Campo, Peter J. & Manfred Morari. (1986). ∞-norm formulation of model predictive control problems. 339–343. 29 indexed citations

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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