Richard Burke

2.1k total citations · 1 hit paper
95 papers, 1.6k citations indexed

About

Richard Burke is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Richard Burke has authored 95 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Fluid Flow and Transfer Processes, 42 papers in Automotive Engineering and 36 papers in Mechanical Engineering. Recurrent topics in Richard Burke's work include Advanced Combustion Engine Technologies (56 papers), Vehicle emissions and performance (29 papers) and Refrigeration and Air Conditioning Technologies (24 papers). Richard Burke is often cited by papers focused on Advanced Combustion Engine Technologies (56 papers), Vehicle emissions and performance (29 papers) and Refrigeration and Air Conditioning Technologies (24 papers). Richard Burke collaborates with scholars based in United Kingdom, United States and France. Richard Burke's co-authors include Chris Brace, Dominic J. Wales, Julien Grand, Chris Bowen, Valeska P. Ting, Karen J. Edler, Andrew D. Burrows, Svetlana Mintova, Jing Na and Guido Herrmann and has published in prestigious journals such as Chemical Society Reviews, Journal of Colloid and Interface Science and European Journal of Operational Research.

In The Last Decade

Richard Burke

91 papers receiving 1.5k 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.

Gas sensing using porous materials for automotive applications

2015 440 citations Richard Burke et al. profile →

Peers

Richard Burke

EEE

FFTP

AE

ME

MC

Guoxiang Li China

Junhong Zhang China

Enhua Wang China

Praveen Kumar India

Guangbin Liu China

Peng Hu China

Ajoy Kumar Das India

Satoru Watano Japan

Lu Zhang China

Guoxiang Li China

Richard Burke

348 ×0.8

EEE

308 ×0.9

FFTP

301 ×1.0

AE

456 ×1.6

ME

463 ×1.6

MC

Citations per year, relative to Richard Burke Richard Burke (= 1×) peers Guoxiang Li

Countries citing papers authored by Richard Burke

Since Specialization

Citations

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

Fields of papers citing papers by Richard Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Burke. A scholar is included among the top collaborators of Richard Burke 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 Richard Burke. Richard Burke 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:

20 of 20 papers shown

1.

Burke, Richard, et al.. (2024). Anomaly detection for sustainable automotive manufacturing. IET conference proceedings.. 2024(11). 39–46.

2.

Rizoug, Nassim, et al.. (2023). Optimization of the Lifetime and Cost of a PMSM in an Electric Vehicle Drive Train. Energies. 16(13). 5200–5200. 5 indexed citations

3.

Oliveira, Roberto, Xianwu Zeng, Xiaoze Pei, & Richard Burke. (2023). HTS-Tape Magnetic Bearing for Ultra High-Speed Turbo Motor. IEEE Transactions on Applied Superconductivity. 33(5). 1–5. 5 indexed citations

4.

Rizoug, Nassim, et al.. (2023). Optimization Approaches for Cost and Lifetime Improvements of Lithium-Ion Batteries in Electric Vehicle Powertrains. Energies. 16(18). 6535–6535. 3 indexed citations

5.

Duro, João A., et al.. (2022). Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem. European Journal of Operational Research. 307(1). 421–446. 7 indexed citations

6.

Piqueras, Pedro, et al.. (2022). Fuel efficiency optimisation based on boosting control of the particulate filter active regeneration at high driving altitude. Fuel. 319. 123734–123734. 10 indexed citations

7.

Akehurst, Sam, et al.. (2021). Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis. Batteries. 7(2). 37–37. 10 indexed citations

8.

Orchard, S. W., et al.. (2020). A comparative study into the effects of pre and post catalyst exhaust gas recirculation on the onset of knock. International Journal of Engine Research. 22(9). 2819–2829. 6 indexed citations

9.

Guardiola, Carlos, et al.. (2020). Improving CO₂ emission assessment of diesel-based powertrains in dynamic driving cycles by data fusion techniques. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 235(2-3). 362–372. 1 indexed citations

10.

Burke, Richard, et al.. (2020). A Lumped Parameter Thermal Model for Single-Sided AFPM Machines With Experimental Validation. IEEE Transactions on Transportation Electrification. 6(3). 1065–1083. 41 indexed citations

11.

Na, Jing, Yingbo Huang, Andrew Lewis, et al.. (2020). Air–Fuel Ratio Control of Spark Ignition Engines With Unknown System Dynamics Estimator: Theory and Experiments. IEEE Transactions on Control Systems Technology. 29(2). 786–793. 33 indexed citations

12.

Wu, Zhongze, et al.. (2020). Mitigating the Torque Ripple in Electric Traction Using Proportional Integral Resonant Controller. IEEE Transactions on Vehicular Technology. 69(10). 10820–10831. 36 indexed citations

13.

Burke, Richard, Joseph Keane, Bruno Marques, et al.. (2019). An open electromagnetic tracking framework applied to targeted liver tumour ablation. International Journal of Computer Assisted Radiology and Surgery. 14(9). 1475–1484. 7 indexed citations

14.

Burke, Richard, et al.. (2018). Design of an Advanced Air Path Test Stand for Steady and Transient Evaluation. Pure (University of Bath). 1 indexed citations

15.

Burke, Richard, et al.. (2017). A virtual engine laboratory for teaching powertrain engineering. Computer Applications in Engineering Education. 25(6). 948–960. 13 indexed citations

16.

Akehurst, Sam, et al.. (2017). A real-time capable mixing controlled combustion model for highly diluted conditions. Energy. 133. 1035–1049. 6 indexed citations

17.

Na, Jing, et al.. (2017). Vehicle Engine Torque Estimation via Unknown Input Observer and Adaptive Parameter Estimation. IEEE Transactions on Vehicular Technology. 67(1). 409–422. 108 indexed citations

18.

Na, Jing, Guido Herrmann, Richard Burke, & Chris Brace. (2015). Adaptive input and parameter estimation with application to engine torque estimation. Research Explorer (The University of Manchester). 3687–3692. 15 indexed citations

19.

Burke, Richard, et al.. (2014). Modelling of Turbocharger heat transfer under stationary and transient conditions. Journal of Periodontology. 84(12). 1730–9. 4 indexed citations

20.

Burke, Richard, Chris Brace, & J G Hawley. (2011). Critical evaluation of on-engine fuel consumption measurement. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 225(6). 829–844. 11 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.

Explore authors with similar magnitude of impact