M.J. Grimble

6.8k total citations
406 papers, 4.7k citations indexed

About

M.J. Grimble is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, M.J. Grimble has authored 406 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 350 papers in Control and Systems Engineering, 58 papers in Artificial Intelligence and 40 papers in Mechanical Engineering. Recurrent topics in M.J. Grimble's work include Advanced Control Systems Optimization (186 papers), Control Systems and Identification (159 papers) and Fault Detection and Control Systems (140 papers). M.J. Grimble is often cited by papers focused on Advanced Control Systems Optimization (186 papers), Control Systems and Identification (159 papers) and Fault Detection and Control Systems (140 papers). M.J. Grimble collaborates with scholars based in United Kingdom, China and Italy. M.J. Grimble's co-authors include Michael A. Johnson, Andrzej Ordys, M.R. Katebi, Paweł Majecki, Biao Huang, S.L. Shah, R.J. Patton, Reza Katebi, T.J. Moir and Jakob Stoustrup and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Signal Processing.

In The Last Decade

M.J. Grimble

375 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.J. Grimble United Kingdom 34 3.8k 651 527 425 320 406 4.7k
Karolos Grigoriadis United States 32 3.5k 0.9× 209 0.3× 424 0.8× 381 0.9× 322 1.0× 258 4.7k
Oliver Nelles Germany 24 2.1k 0.6× 1.3k 1.9× 605 1.1× 143 0.3× 393 1.2× 147 3.8k
G.W. Irwin United Kingdom 34 2.3k 0.6× 1.1k 1.8× 608 1.2× 319 0.8× 648 2.0× 220 4.2k
S. Bittanti Italy 34 2.7k 0.7× 457 0.7× 634 1.2× 424 1.0× 359 1.1× 261 4.4k
Wilson J. Rugh United States 27 4.9k 1.3× 503 0.8× 466 0.9× 849 2.0× 550 1.7× 78 6.3k
Quanmin Zhu United Kingdom 41 3.6k 1.0× 1.0k 1.6× 476 0.9× 252 0.6× 596 1.9× 304 4.8k
V. Kučera Czechia 34 3.8k 1.0× 340 0.5× 365 0.7× 355 0.8× 355 1.1× 220 5.6k
Gary Balas United States 39 3.6k 1.0× 263 0.4× 410 0.8× 1.5k 3.6× 228 0.7× 173 4.8k
Cornelius T. Leondes United States 26 1.1k 0.3× 664 1.0× 288 0.5× 548 1.3× 314 1.0× 203 3.3k
Jihun Park South Korea 11 1.2k 0.3× 1.3k 1.9× 275 0.5× 240 0.6× 342 1.1× 51 3.2k

Countries citing papers authored by M.J. Grimble

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Grimble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.J. Grimble

This figure shows the co-authorship network connecting the top 25 collaborators of M.J. Grimble. A scholar is included among the top collaborators of M.J. Grimble 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 M.J. Grimble. M.J. Grimble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yue, Hong, et al.. (2024). Tube-based model predictive control of an autonomous underwater vehicle using line-of-sight re-planning. Ocean Engineering. 314. 119688–119688. 3 indexed citations
2.
Abadi, Ali Soltani Sharif, Pooyan Alinaghi Hosseinabadi, Andrzej Ordys, & M.J. Grimble. (2022). Design a robust quantitative feedback theory controller for cyber-physical systems: ship course control problem. Archives of Control Sciences. 589–605. 1 indexed citations
3.
Grimble, M.J.. (2011). Non-linear minimum variance state-space-based estimation for discrete-time multi-channel systems. IET Signal Processing. 5(4). 365–378. 4 indexed citations
4.
Grimble, M.J., et al.. (2009). Benchmarking the effectiveness of universal design. 4 indexed citations
5.
Giovanini, Leonardo L., Andrzej Ordys, & M.J. Grimble. (2006). Adaptive Predictive Control using Multiple Models, Switching and Tuning. International Journal of Control Automation and Systems. 4(6). 669–681. 18 indexed citations
6.
Grimble, M.J.. (2006). Design of generalized minimum variance controllers for nonlinear multivariable systems. International Journal of Control Automation and Systems. 4(3). 281–292. 8 indexed citations
7.
Ordys, Andrzej, et al.. (2004). Nonlinear predictive control for fast constrained systems. Research Repository (Kingston University London). 44(2). 134–40. 6 indexed citations
8.
Grimble, M.J.. (2004). Generalized minimum variance control of nonlinear multivariable systems. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 3 indexed citations
9.
Giovanini, Leonardo L. & M.J. Grimble. (2004). Robust Predictive Feedback Control for Constrained Systems. International Journal of Control Automation and Systems. 2(4). 407–422. 4 indexed citations
10.
Grimble, M.J.. (2000). Industrial Control System Design. John Wiley & Sons, Inc. eBooks. 9 indexed citations
11.
Ordys, Andrzej, et al.. (2000). Dynamic Algorithm for Linear Quadratic Gaussian Predictive Control. International Journal of Applied Mathematics and Computer Science. 10(2). 227–244. 1 indexed citations
12.
Johnson, Michael A., et al.. (1999). PID controller optimization for fin roll stabilization. 1785–1790. 8 indexed citations
13.
Man, K.F., K.S. Tang, Sam Kwong, Matthew P. Johnson, & M.J. Grimble. (1999). Genetic Algorithms: Concepts and Designs with Disk. Springer eBooks. 240(3). G221–4. 85 indexed citations
14.
Grimble, M.J.. (1999). Separation principle for multivariable control: A continuous-time polynomial systems approach. IEE Proceedings - Control Theory and Applications. 146(5). 457–469. 5 indexed citations
15.
Grimble, M.J.. (1993). H ∞ inferential filtering, prediction and smoothing problems. International Conference on Acoustics, Speech, and Signal Processing. 464–467. 1 indexed citations
16.
McGhee, J., et al.. (1992). Knowledge-based systems for industrial control [book reviews]. IEE Review. 38(5). 195.
17.
Grimble, M.J.. (1991). H_∞ Fixed-Lag Smoothing Filter for Scalar Systems. 39. 1955–1963. 4 indexed citations
18.
Leithead, William, David C. Reardon, & M.J. Grimble. (1991). Wind turbine modelling and control. 1–6. 8 indexed citations
19.
Grimble, M.J., et al.. (1988). Selection of optimal control weighting functions to achieve good H/sub infinity / robust designs. 683–688. 3 indexed citations
20.
Grimble, M.J., et al.. (1988). Selection of optimal control weighting functions to achieve good H ∞ robust designs. 683–688. 1 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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