Richard Bucknall

3.8k total citations
98 papers, 2.9k citations indexed

About

Richard Bucknall is a scholar working on Ocean Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Richard Bucknall has authored 98 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ocean Engineering, 33 papers in Electrical and Electronic Engineering and 26 papers in Automotive Engineering. Recurrent topics in Richard Bucknall's work include Maritime Navigation and Safety (32 papers), Maritime Transport Emissions and Efficiency (23 papers) and Advanced Battery Technologies Research (17 papers). Richard Bucknall is often cited by papers focused on Maritime Navigation and Safety (32 papers), Maritime Transport Emissions and Efficiency (23 papers) and Advanced Battery Technologies Research (17 papers). Richard Bucknall collaborates with scholars based in United Kingdom, China and Australia. Richard Bucknall's co-authors include Yuanchang Liu, Rui Song, Peng Wu, Alistair Greig, Wenwen Liu, Xinyu Zhang, Wei Wu, Xinping Yan, Pengcheng Pan and Tristan Smith and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and IEEE Transactions on Power Electronics.

In The Last Decade

Richard Bucknall

93 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Bucknall United Kingdom 29 1.5k 873 549 526 450 98 2.9k
Jinwhan Kim South Korea 24 1.2k 0.8× 515 0.6× 138 0.3× 276 0.5× 656 1.5× 162 2.0k
Ying Cui China 22 564 0.4× 1.2k 1.4× 435 0.8× 178 0.3× 897 2.0× 59 2.7k
Xiumin Chu China 22 1.0k 0.7× 350 0.4× 271 0.5× 76 0.1× 137 0.3× 129 1.6k
Wasif Naeem United Kingdom 23 1.1k 0.8× 615 0.7× 100 0.2× 99 0.2× 353 0.8× 87 2.0k
Liang Huang China 26 460 0.3× 180 0.2× 321 0.6× 288 0.5× 78 0.2× 137 1.7k
Xianku Zhang China 32 1.6k 1.1× 399 0.5× 177 0.3× 120 0.2× 535 1.2× 231 3.4k
Dongfang Ma China 28 448 0.3× 165 0.2× 343 0.6× 255 0.5× 77 0.2× 138 2.3k
Lokukaluge P. Perera Norway 27 1.8k 1.2× 155 0.2× 690 1.3× 63 0.1× 130 0.3× 84 2.4k
Guizhen Yu China 30 200 0.1× 474 0.5× 140 0.3× 376 0.7× 241 0.5× 131 2.5k
Myung-Il Roh South Korea 26 1.1k 0.8× 242 0.3× 381 0.7× 44 0.1× 217 0.5× 189 2.5k

Countries citing papers authored by Richard Bucknall

Since Specialization
Citations

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

Fields of papers citing papers by Richard Bucknall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Bucknall

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Bucknall. A scholar is included among the top collaborators of Richard Bucknall 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 Bucknall. Richard Bucknall 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.
Fan, Ailong, Peng Wu, Yang Liu, et al.. (2025). LSTM-augmented DRL for generalisable energy management of hydrogen-hybrid ship propulsion systems. eTransportation. 25. 100442–100442. 1 indexed citations
3.
Liu, Yuanchang, et al.. (2025). RRT-GPMP2: A Motion Planner for Mobile Robots in Complex Maze Environments. Electronics. 14(14). 2888–2888.
4.
Wu, Peng, et al.. (2025). An intelligent energy management framework for hybrid-electric propulsion systems using deep reinforcement learning. International Journal of Hydrogen Energy. 106. 282–294. 5 indexed citations
5.
Du, Yali, et al.. (2024). An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems. IEEE Transactions on Automation Science and Engineering. 22. 1519–1533. 9 indexed citations
6.
Zhuang, Linlin, Kui Jiao, Zhijun Peng, et al.. (2023). A novel feature susceptibility approach for a PEMFC control system based on an improved XGBoost-Boruta algorithm. Energy and AI. 12. 100229–100229. 22 indexed citations
7.
Bucknall, Richard, et al.. (2022). A Fully-Autonomous Framework of Unmanned Surface Vehicles in Maritime Environments Using Gaussian Process Motion Planning. IEEE Journal of Oceanic Engineering. 48(1). 59–79. 17 indexed citations
8.
Liu, Yuanchang, et al.. (2022). Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents. IEEE Transactions on Automation Science and Engineering. 19(4). 3914–3931. 37 indexed citations
9.
Liu, Yuanchang, et al.. (2020). A Novel Design of a Solid Oxide Fuel Cell-Based Combined Cooling, Heat and Power Residential System in the U.K.. IEEE Transactions on Industry Applications. 57(1). 805–813. 19 indexed citations
10.
Bucknall, Richard, et al.. (2020). A Novel Design of Solid Oxide Fuel Cell-Based Combined Cooling, Heat and Power Residential System in The UK. UCL Discovery (University College London). 1 indexed citations
11.
Wu, Peng, et al.. (2020). Cost-effective reinforcement learning energy management for plug-in hybrid fuel cell and battery ships. Applied Energy. 275. 115258–115258. 103 indexed citations
12.
13.
Song, Rui, et al.. (2017). Design and implementation of an USV for large bodies of fresh waters at the highlands of Peru. 9 indexed citations
14.
Bucknall, Richard, et al.. (2016). An analysis of the energy flow and energy potential from human energy harvesting with a focus on walking. Cogent Engineering. 3(1). 1215203–1215203. 12 indexed citations
15.
Song, Ruizhuo, et al.. (2015). Towards the development of an autonomous navigation system for unmanned vessels. UCL Discovery (University College London). 2 indexed citations
17.
Bucknall, Richard, et al.. (2011). The Impact of Integrated Electric Weapons on Future Warship Design Using Conventional and Unconventional Hullforms. UCL Discovery (University College London). 2 indexed citations
18.
Yap, Eng Hwa, et al.. (2004). Mechanical and electrical performance analysis of high power subsea transmission cable. UCL Discovery (University College London). 1 indexed citations
19.
Bucknall, Richard, et al.. (1997). The matrix converter: The ultimate electric drive technology?. UCL Discovery (University College London). 1 indexed citations
20.
Roskilly, Anthony Paul, Ehsan Mesbahi, Richard Bucknall, Christopher T. Elliott, & Guy Armstrong. (1996). MARINE SYSTEM MODELLING USING ARTIFICIAL NEURAL NETWORKS: AN INTRODUCTION TO THE THEORY AND PRACTICE. UCL Discovery (University College London). 108(3). 185–201. 8 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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