M.P. Newlin

540 citations
11 papers · 331 · h-index 8

Impact in

    • Probabilistic and Robust Engineering Design
    • Control Systems and Identification
    • Stability and Control of Uncertain Systems
    • Fault Detection and Control Systems
    • Advanced Control Systems Optimization
    • Adaptive Control of Nonlinear Systems
    • Advanced Control Systems Design

Papers in

M.P. Newlin

11 papers receiving 314 citations

Peers

M.P. Newlin
Comparison fields: 5 of 42
  • Statistics, Probability and Uncertainty 96
  • Control and Systems Engineering 271
  • Numerical Analysis 31
  • Computational Theory and Mathematics 50
  • Statistical and Nonlinear Physics 22
Replace Joost Veenman with:
Joost Veenman Germany
J.-F. Magni France
G. Ferreres France
Jean‐François Magni France
Anders Helmersson Sweden
Kenneth M. Sobel United States
H. Horisberger Canada
A. A. Schy United States
K.M. Sobel United States
Arturo Locatelli Italy
M.P. Newlin relative to Joost Veenman Germany Joost Veenman's profile →
Citations per field
00.5×1.5×1.9×
Joost Veenman · 1×
Citations per year

Countries citing papers authored by M.P. Newlin

Since Specialization
Citations

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

Fields of papers citing papers by M.P. Newlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside M.P. Newlin, 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 M.P. Newlin Line = papers co-authored together M.P. Newlin links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown

About M.P. Newlin

M.P. Newlin is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Computational Theory and Mathematics and Computer Networks and Communications, having authored 11 papers that have together received 331 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (8 papers), Control Systems and Identification (6 papers), Fault Detection and Control Systems (4 papers), Stability and Control of Uncertain Systems (3 papers), Matrix Theory and Algorithms (2 papers), Reliability and Maintenance Optimization (2 papers), Mathematical functions and polynomials (1 paper) and Radar Systems and Signal Processing (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (96 citations), Control and Systems Engineering (271 citations), Numerical Analysis (31 citations), Computational Theory and Mathematics (50 citations) and Statistical and Nonlinear Physics (22 citations). M.P. Newlin has collaborated with scholars based in United States. Frequent co-authors include Peter M. Young, John C. Doyle, Roy S. Smith, Sonja Glavaški and Fernando Paganini. Their work appears in journals such as International Journal of Robust and Nonlinear Control, IEEE Transactions on Automatic Control, CaltechAUTHORS (California Institute of Technology) and ˜The œIMA volumes in mathematics and its applications.

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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