Ali Mesbah

5.4k total citations · 1 hit paper
136 papers, 3.6k citations indexed

About

Ali Mesbah is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ali Mesbah has authored 136 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Control and Systems Engineering, 24 papers in Electrical and Electronic Engineering and 22 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ali Mesbah's work include Advanced Control Systems Optimization (62 papers), Fault Detection and Control Systems (61 papers) and Control Systems and Identification (39 papers). Ali Mesbah is often cited by papers focused on Advanced Control Systems Optimization (62 papers), Fault Detection and Control Systems (61 papers) and Control Systems and Identification (39 papers). Ali Mesbah collaborates with scholars based in United States, Germany and Brazil. Ali Mesbah's co-authors include Joel A. Paulson, David B. Graves, Richard D. Braatz, Jean‐Claude Morel, Peter Walker, Tor Aksel N. Heirung, Angelo D. Bonzanini, Jared O’Leary, Stefan Streif and Dogan Gidon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Ali Mesbah

126 papers receiving 3.4k citations

Hit Papers

Stochastic Model Predictive Control: An Overview and Pers... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Mesbah United States 30 1.8k 628 445 345 316 136 3.6k
Veit Hagenmeyer Germany 29 1.2k 0.7× 1.5k 2.5× 272 0.6× 42 0.1× 78 0.2× 310 3.2k
Pu Li Germany 37 2.0k 1.1× 1.6k 2.5× 64 0.1× 33 0.1× 243 0.8× 241 4.8k
Mohammad Mohammadi Iran 32 1.1k 0.6× 2.2k 3.4× 121 0.3× 126 0.4× 85 0.3× 182 3.3k
Chao Zhang China 22 915 0.5× 597 1.0× 1.5k 3.3× 28 0.1× 87 0.3× 146 4.1k
Yuan Yao Taiwan 33 2.2k 1.2× 268 0.4× 42 0.1× 58 0.2× 455 1.4× 234 4.0k
Zhe Wu United States 33 1.8k 1.0× 373 0.6× 52 0.1× 57 0.2× 105 0.3× 166 3.3k
Tyrone L. Vincent United States 26 1.1k 0.6× 1.2k 1.9× 259 0.6× 15 0.0× 116 0.4× 134 2.5k
Sumit Singh Chauhan India 3 402 0.2× 508 0.8× 173 0.4× 42 0.1× 35 0.1× 6 2.8k
Nina F. Thornhill United Kingdom 39 3.9k 2.2× 901 1.4× 42 0.1× 41 0.1× 530 1.7× 183 5.2k
Lefteri H. Tsoukalas United States 26 806 0.5× 1.2k 1.9× 140 0.3× 24 0.1× 89 0.3× 181 3.4k

Countries citing papers authored by Ali Mesbah

Since Specialization
Citations

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

Fields of papers citing papers by Ali Mesbah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Mesbah. 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 Ali Mesbah. The network helps show where Ali Mesbah may publish in the future.

Co-authorship network of co-authors of Ali Mesbah

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Mesbah. A scholar is included among the top collaborators of Ali Mesbah 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 Ali Mesbah. Ali Mesbah 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.
Boersma, Sjoerd, et al.. (2025). Multi-objective Bayesian optimisation over sparse subspaces for model predictive control of wind farms. Renewable Energy. 247. 122988–122988. 1 indexed citations
2.
Mesbah, Ali, et al.. (2024). Efficient Performance-based MPC Tuning in High Dimensions using Bayesian Optimization over Sparse Subspaces. IFAC-PapersOnLine. 58(14). 458–463. 2 indexed citations
4.
Paulson, Joel A., et al.. (2024). A Practical Multiobjective Learning Framework for Optimal Hardware-Software Co-Design of Control-on-a-Chip Systems. IEEE Transactions on Control Systems Technology. 32(6). 2178–2193. 2 indexed citations
5.
Khan, Imran, Paul Kusuma, James M. Wilson, et al.. (2024). Nitrogen accountancy in space agriculture. npj Microgravity. 10(1). 90–90.
6.
Daoutidis, Pródromos, Jay H. Lee, Srinivas Rangarajan, et al.. (2023). Machine learning in process systems engineering: Challenges and opportunities. Computers & Chemical Engineering. 181. 108523–108523. 47 indexed citations
7.
Boersma, Sjoerd, et al.. (2023). Heteroscedastic Bayesian Optimisation for Active Power Control of Wind Farms*. IFAC-PapersOnLine. 56(2). 7650–7655. 4 indexed citations
8.
Afsah‐Hejri, L., Jared O’Leary, Jered V. McGivern, et al.. (2023). Identification of volatile organic compounds (VOCs) by SPME-GC-MS to detect Aspergillus flavus infection in pistachios. Food Control. 154. 110033–110033. 17 indexed citations
9.
Bao, Yajie, et al.. (2022). Learning‐based adaptive‐scenario‐tree model predictive control with improved probabilistic safety using robust Bayesian neural networks. International Journal of Robust and Nonlinear Control. 33(5). 3312–3333. 14 indexed citations
10.
Averesch, Nils J. H., Charles S. Cockell, Lance C. Seefeldt, et al.. (2022). Space bioprocess engineering on the horizon. Communications Engineering. 1(1). 17 indexed citations
11.
Laroussi, Mounir, Sander Bekeschus, Michael Keidar, et al.. (2021). Low-Temperature Plasma for Biology, Hygiene, and Medicine: Perspective and Roadmap. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(2). 127–157. 100 indexed citations
12.
Gidon, Dogan, Hossam S. Abbas, Angelo D. Bonzanini, et al.. (2021). Data-driven LPV model predictive control of a cold atmospheric plasma jet for biomaterials processing. Control Engineering Practice. 109. 104725–104725. 22 indexed citations
13.
Bonzanini, Angelo D. & Ali Mesbah. (2020). Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty.. 571–580. 2 indexed citations
14.
Witman, Matthew, Dogan Gidon, David B. Graves, Berend Smit, & Ali Mesbah. (2019). Sim-to-real transfer reinforcement learning for control of thermal effects of an atmospheric pressure plasma jet. Plasma Sources Science and Technology. 28(9). 95019–95019. 35 indexed citations
15.
Gidon, Dogan, David B. Graves, & Ali Mesbah. (2019). Spatial thermal dose delivery in atmospheric pressure plasma jets. Plasma Sources Science and Technology. 28(2). 25006–25006. 18 indexed citations
16.
Gidon, Dogan, David B. Graves, & Ali Mesbah. (2019). Predictive control of 2D spatial thermal dose delivery in atmospheric pressure plasma jets. Plasma Sources Science and Technology. 28(8). 85001–85001. 28 indexed citations
17.
Bonzanini, Angelo D., Tito L.M. Santos, & Ali Mesbah. (2019). Tube-based Stochastic Nonlinear Model Predictive Control: A Comparative Study on Constraint Tightening. IFAC-PapersOnLine. 52(1). 598–603. 12 indexed citations
18.
Mesbah, Ali & David B. Graves. (2019). Machine learning for modeling, diagnostics, and control of non-equilibrium plasmas. Journal of Physics D Applied Physics. 52(30). 30LT02–30LT02. 93 indexed citations
19.
Mesbah, Ali, Joel A. Paulson, Richard Lakerveld, & Richard D. Braatz. (2015). Plant-wide model predictive control for a continuous pharmaceutical process. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4301–4307. 11 indexed citations
20.
Mesbah, Ali & Stefan Streif. (2014). Stability for Receding-horizon Stochastic Model Predictive Control with Chance Constraints. arXiv (Cornell University). 2 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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