Colin N. Jones

10.9k total citations · 3 hit papers
262 papers, 7.6k citations indexed

About

Colin N. Jones is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Numerical Analysis. According to data from OpenAlex, Colin N. Jones has authored 262 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 193 papers in Control and Systems Engineering, 63 papers in Electrical and Electronic Engineering and 42 papers in Numerical Analysis. Recurrent topics in Colin N. Jones's work include Advanced Control Systems Optimization (150 papers), Fault Detection and Control Systems (80 papers) and Control Systems and Identification (60 papers). Colin N. Jones is often cited by papers focused on Advanced Control Systems Optimization (150 papers), Fault Detection and Control Systems (80 papers) and Control Systems and Identification (60 papers). Colin N. Jones collaborates with scholars based in Switzerland, United States and Germany. Colin N. Jones's co-authors include Manfred Morari, Melanie N. Zeilinger, Frauke Oldewurtel, Michal Kvasnica, Martin Herceg, Alessandra Parisio, Dimitrios Gyalistras, Markus Gwerder, Vanessa J. Stauch and B. Lehmann and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Applied Energy.

In The Last Decade

Colin N. Jones

249 papers receiving 7.3k citations

Hit Papers

Use of model predictive c... 2011 2026 2016 2021 2011 2013 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colin N. Jones Switzerland 40 5.0k 2.0k 1.7k 537 511 262 7.6k
Kameshwar Poolla United States 40 6.3k 1.3× 3.6k 1.8× 618 0.4× 2.5k 4.7× 1.3k 2.6× 224 9.6k
Eduardo F. Camacho Spain 60 12.6k 2.5× 2.2k 1.1× 669 0.4× 973 1.8× 1.7k 3.4× 447 17.0k
Roy S. Smith Switzerland 32 2.5k 0.5× 814 0.4× 644 0.4× 543 1.0× 243 0.5× 239 3.9k
J.M. Maciejowski United Kingdom 33 6.5k 1.3× 1.4k 0.7× 205 0.1× 453 0.8× 511 1.0× 216 8.6k
Ian A. Hiskens United States 45 5.4k 1.1× 8.2k 4.2× 387 0.2× 390 0.7× 178 0.3× 222 9.4k
Alberto Bemporad Italy 64 16.6k 3.3× 3.5k 1.8× 658 0.4× 1.1k 2.1× 1.0k 2.0× 392 21.4k
Riccardo Scattolini Italy 41 6.4k 1.3× 1.2k 0.6× 181 0.1× 969 1.8× 518 1.0× 253 7.5k
Draguna Vrabie United States 23 3.3k 0.6× 1.5k 0.8× 853 0.5× 507 0.9× 2.1k 4.2× 82 6.4k
Michel Fliess France 36 5.6k 1.1× 862 0.4× 123 0.1× 354 0.7× 344 0.7× 148 7.3k
Maâmar Bettayeb United Arab Emirates 40 2.5k 0.5× 1.6k 0.8× 157 0.1× 161 0.3× 463 0.9× 274 4.9k

Countries citing papers authored by Colin N. Jones

Since Specialization
Citations

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

Fields of papers citing papers by Colin N. Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin N. Jones. 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 Colin N. Jones. The network helps show where Colin N. Jones may publish in the future.

Co-authorship network of co-authors of Colin N. Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Colin N. Jones. A scholar is included among the top collaborators of Colin N. Jones 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 Colin N. Jones. Colin N. Jones 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.
Jiang, Yuning, et al.. (2025). Fast and Lightweight: A real-time parallelizable MPC for embedded systems. European Journal of Control. 83. 101217–101217.
2.
Schubnel, Baptiste, et al.. (2024). Risk-aware scheduling and dispatch of flexibility events in buildings. Sustainable Energy Grids and Networks. 39. 101512–101512.
3.
Jones, Colin N., et al.. (2024). Efficient Recursive Data-enabled Predictive Control. 880–887. 2 indexed citations
4.
Heer, Philipp, et al.. (2024). SIMBa: System Identification Methods Leveraging Backpropagation. IEEE Transactions on Control Systems Technology. 33(2). 418–433. 2 indexed citations
5.
Wang, Jiawei, et al.. (2023). Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow. Transportation Research Part C Emerging Technologies. 155. 104274–104274. 24 indexed citations
6.
Jones, Colin N., et al.. (2023). Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters. IEEE Control Systems Letters. 7. 1885–1890. 3 indexed citations
7.
Svetozarevic, Bratislav, et al.. (2023). Towards scalable physically consistent neural networks: An application to data-driven multi-zone thermal building models. Applied Energy. 340. 121071–121071. 29 indexed citations
8.
Rosolia, Ugo, et al.. (2022). On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller. IEEE Transactions on Automatic Control. 68(1). 556–563. 8 indexed citations
9.
Jiang, Yuning, et al.. (2022). Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC. IEEE Control Systems Letters. 6. 3301–3306. 1 indexed citations
10.
Maddalena, Emilio T., et al.. (2021). Embedded PWM Predictive Control of DC-DC Power Converters Via Piecewise-Affine Neural Networks. IEEE Open Journal of the Industrial Electronics Society. 2. 199–206. 15 indexed citations
11.
Lymperopoulos, Ioannis, et al.. (2019). Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses. IEEE Transactions on Smart Grid. 11(1). 665–672. 28 indexed citations
12.
Salzmann, Christophe, et al.. (2018). Multi-time scale coordination of complementary resources for the provision of ancillary services. Applied Energy. 229. 1164–1180. 14 indexed citations
13.
Jones, Colin N., et al.. (2018). Hierarchical control of building HVAC system for ancillary services provision. Energy and Buildings. 169. 216–227. 41 indexed citations
14.
Lymperopoulos, Ioannis, et al.. (2016). Economic Advantages of Office Buildings Providing Ancillary Services With Intraday Participation. IEEE Transactions on Smart Grid. 9(4). 3443–3452. 25 indexed citations
15.
Pu, Ye, et al.. (2016). Operator Splitting Methods in Control. 3(3). 249–362. 21 indexed citations
16.
Lymperopoulos, Ioannis, et al.. (2016). Experimental Implementation of Frequency Regulation Services Using Commercial Buildings. IEEE Transactions on Smart Grid. 9(3). 1657–1666. 43 indexed citations
17.
Pu, Ye, et al.. (2016). Operator Splitting Methods in Control. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 13 indexed citations
18.
Schorsch, Stefan, et al.. (2015). An optimization-based approach to extract faceted crystal shapes from stereoscopic images. Computers & Chemical Engineering. 75. 171–183. 16 indexed citations
19.
Jones, Colin N., et al.. (2015). A virtual vehicle approach to distributed control for formation keeping of underactuated vehicles. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
20.
Jones, Colin N.. (2005). Polyhedral Tools for Control. Drug and Alcohol Dependence. 60(2). 161–8. 21 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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