Mark Dooner

4.7k total citations · 1 hit paper
17 papers, 3.6k citations indexed

About

Mark Dooner is a scholar working on Control and Systems Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Mark Dooner has authored 17 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 8 papers in Mechanical Engineering and 6 papers in Automotive Engineering. Recurrent topics in Mark Dooner's work include Microgrid Control and Optimization (6 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (5 papers) and Integrated Energy Systems Optimization (3 papers). Mark Dooner is often cited by papers focused on Microgrid Control and Optimization (6 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (5 papers) and Integrated Energy Systems Optimization (3 papers). Mark Dooner collaborates with scholars based in United Kingdom, China and India. Mark Dooner's co-authors include Jihong Wang, Xing Luo, Jonathan Clarke, Marcus King, Dacheng Li, Shihong Miao, Wei He, Dan Wang, Lan Ma and Jidai Wang and has published in prestigious journals such as Applied Energy, Solar Energy and Energies.

In The Last Decade

Mark Dooner

17 papers receiving 3.4k citations

Hit Papers

align trajectories

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.

Overview of current development in electrical energy storage technologies and the application potential in power system operation

2014 2.8k citations Xing Luo, Jihong Wang et al. Applied Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Dooner United Kingdom	11	2.2k	1.1k	947	862	826	17	3.6k
Xing Luo United Kingdom	19	2.7k 1.2×	1.4k 1.2×	1.1k 1.1×	927 1.1×	1.2k 1.5×	53	4.5k
Jonathan Clarke United Kingdom	6	1.9k 0.9×	999 0.9×	782 0.8×	788 0.9×	617 0.7×	11	3.1k
Chunqing Tan China	22	2.1k 1.0×	811 0.7×	645 0.7×	816 0.9×	1.8k 2.2×	49	5.0k
Rosario Miceli Italy	33	4.2k 1.9×	1.4k 1.2×	288 0.3×	1.1k 1.3×	641 0.8×	396	5.3k
Toufik Rekioua Algeria	32	2.3k 1.1×	1.2k 1.1×	691 0.7×	1.2k 1.4×	172 0.2×	119	3.4k
Amin Safari Iran	29	2.8k 1.3×	1.4k 1.2×	476 0.5×	335 0.4×	763 0.9×	139	4.7k
Alfredo Ursúa Spain	28	2.8k 1.3×	673 0.6×	1.5k 1.6×	1.3k 1.5×	259 0.3×	101	4.1k
Samir Jemeï France	31	3.6k 1.6×	991 0.9×	702 0.7×	2.0k 2.3×	333 0.4×	88	5.1k
Linda Barelli Italy	36	2.0k 0.9×	641 0.6×	687 0.7×	580 0.7×	1.1k 1.3×	158	4.4k
Oliver Schmidt United Kingdom	11	2.1k 1.0×	334 0.3×	1.5k 1.6×	795 0.9×	395 0.5×	13	3.5k

Countries citing papers authored by Mark Dooner

Since Specialization

Citations

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

Fields of papers citing papers by Mark Dooner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Dooner

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

King, Marcus, et al.. (2021). Mathematical Modelling of a System for Solar PV Efficiency Improvement Using Compressed Air for Panel Cleaning and Cooling. Energies. 14(14). 4072–4072. 20 indexed citations

Evans, D.J., Daniel Parkes, Mark Dooner, et al.. (2021). Salt Cavern Exergy Storage Capacity Potential of UK Massively Bedded Halites, Using Compressed Air Energy Storage (CAES). Applied Sciences. 11(11). 4728–4728. 39 indexed citations

He, Wei, Marcus King, Xing Luo, et al.. (2021). Technologies and economics of electric energy storages in power systems: Review and perspective. Advances in Applied Energy. 4. 100060–100060. 150 indexed citations

Li, Dacheng, et al.. (2021). Study on the cleaning and cooling of solar photovoltaic panels using compressed airflow. Solar Energy. 221. 433–444. 47 indexed citations

King, Marcus, Dacheng Li, Mark Dooner, & Jihong Wang. (2021). Modelling and control of the charging process of a PV-compressed air system for efficiency improvement from panel cleaning and cooling. Warwick Research Archive Portal (University of Warwick). 1–6. 1 indexed citations

He, Wei, et al.. (2020). Techno-economic analysis of bulk-scale compressed air energy storage in power system decarbonisation. Applied Energy. 282. 116097–116097. 39 indexed citations

Dooner, Mark & Jihong Wang. (2019). Potential Exergy Storage Capacity of Salt Caverns in the Cheshire Basin Using Adiabatic Compressed Air Energy Storage. Entropy. 21(11). 1065–1065. 12 indexed citations

Luo, Xing, Mark Dooner, Wei He, et al.. (2018). Feasibility study of a simulation software tool development for dynamic modelling and transient control of adiabatic compressed air energy storage with its electrical power system applications. Applied Energy. 228. 1198–1219. 42 indexed citations

Li, Yaowang, Shihong Miao, Shixu Zhang, et al.. (2018). A reserve capacity model of AA-CAES for power system optimal joint energy and reserve scheduling. International Journal of Electrical Power & Energy Systems. 104. 279–290. 57 indexed citations

10.

Luo, Xing, et al.. (2017). A New Scroll-Type Air Motor With Magnetic Spirals. IEEE/ASME Transactions on Mechatronics. 23(1). 459–468. 3 indexed citations

11.

Wang, Jidai, Lan Ma, Jihong Wang, et al.. (2017). Overview of Compressed Air Energy Storage and Technology Development. Energies. 10(7). 991–991. 219 indexed citations

12.

Dooner, Mark & Jihong Wang. (2017). Initial study on the magnetic field characteristics of a novel magnetised air scroll expander. 300–305. 2 indexed citations

13.

Dooner, Mark, et al.. (2017). Adaptive engine optimisation using NSGA-II and MODA based on a sub-structured artificial neural network. University of Birmingham Research Portal (University of Birmingham). 7 indexed citations

14.

Dooner, Mark, Jihong Wang, & Alexandros Mouzakitis. (2015). Dynamic modelling and experimental validation of an automotive windshield wiper system for hardware in the loop simulation. Systems Science & Control Engineering. 3(1). 230–239. 4 indexed citations

15.

Luo, Xing, Jihong Wang, Mark Dooner, & Jonathan Clarke. (2014). Overview of current development in electrical energy storage technologies and the application potential in power system operation. Applied Energy. 137. 511–536. 2797 indexed citations breakdown →

16.

Luo, Xing, Jihong Wang, Mark Dooner, Jonathan Clarke, & Christopher Krupke. (2014). Overview of Current Development in Compressed Air Energy Storage Technology. Energy Procedia. 62. 603–611. 137 indexed citations

17.

Dooner, Mark, Jihong Wang, & Alexandros Mouzakitis. (2013). Development of a simulation model of a windshield wiper system for Hardware in the Loop simulation. 1–6. 4 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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