Christopher Ward

764 total citations
60 papers, 549 citations indexed

About

Christopher Ward is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Civil and Structural Engineering. According to data from OpenAlex, Christopher Ward has authored 60 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Mechanical Engineering, 18 papers in Industrial and Manufacturing Engineering and 15 papers in Civil and Structural Engineering. Recurrent topics in Christopher Ward's work include Railway Engineering and Dynamics (37 papers), Railway Systems and Energy Efficiency (18 papers) and Structural Health Monitoring Techniques (10 papers). Christopher Ward is often cited by papers focused on Railway Engineering and Dynamics (37 papers), Railway Systems and Energy Efficiency (18 papers) and Structural Health Monitoring Techniques (10 papers). Christopher Ward collaborates with scholars based in United Kingdom, Australia and Italy. Christopher Ward's co-authors include Roger Dixon, R.M. Goodall, Tim J. Harrison, T.X. Mei, Clive Roberts, Paul Weston, Edward Stewart, James Fleming, Taeseong Kim and Andrew Gerhart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and Mechanical Systems and Signal Processing.

In The Last Decade

Christopher Ward

58 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Ward United Kingdom 13 396 181 147 114 91 60 549
Esteban Bernal Australia 12 317 0.8× 100 0.6× 103 0.7× 70 0.6× 121 1.3× 33 443
Cecília Vale Portugal 13 392 1.0× 235 1.3× 115 0.8× 83 0.7× 32 0.4× 30 484
Yuan Yao China 14 580 1.5× 125 0.7× 97 0.7× 122 1.1× 166 1.8× 74 704
Tao Xin China 14 431 1.1× 265 1.5× 117 0.8× 38 0.3× 85 0.9× 50 552
Wanxiu Teng China 11 257 0.6× 75 0.4× 40 0.3× 176 1.5× 98 1.1× 20 421
Gongquan Tao China 19 1.0k 2.5× 257 1.4× 166 1.1× 118 1.0× 530 5.8× 72 1.1k
Zhendong Liu China 13 509 1.3× 47 0.3× 136 0.9× 130 1.1× 155 1.7× 38 660
Arne Nissen Sweden 16 439 1.1× 303 1.7× 110 0.7× 22 0.2× 48 0.5× 38 530
Tianci Gao China 10 163 0.4× 143 0.8× 59 0.4× 27 0.2× 43 0.5× 18 293
M. Molodova Netherlands 9 435 1.1× 326 1.8× 116 0.8× 56 0.5× 121 1.3× 16 495

Countries citing papers authored by Christopher Ward

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Ward. A scholar is included among the top collaborators of Christopher Ward 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 Christopher Ward. Christopher Ward 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.
Harrison, Tim J., et al.. (2025). Estimation of wheel-rail friction coefficient using deep CNN on axlebox accelerations. Mechanical Systems and Signal Processing. 232. 112756–112756. 1 indexed citations
2.
Harrison, Tim J., et al.. (2024). Creep slope estimation for assessing adhesion in the wheel/rail contact. IET Intelligent Transport Systems. 18(10). 1931–1942. 3 indexed citations
3.
Harrison, Tim J., et al.. (2024). A framework for dynamic modelling of railway track switches considering the switch blades, actuators and control systems. SHILAP Revista de lepidopterología. 32(2). 162–176. 2 indexed citations
4.
Dixon, Roger, et al.. (2023). Fault-tolerant control for sensor faults affecting an electromechanical railway track switch. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 237(9). 1111–1118. 1 indexed citations
5.
Harrison, Tim J., et al.. (2021). Realisation of a Novel Functionally Redundant Actuation System for a Railway Track-Switch. Applied Sciences. 11(2). 702–702. 3 indexed citations
6.
7.
Goodall, R.M., Roger Dixon, Moussa Hamadache, & Christopher Ward. (2020). Railways Discovering Mechatronics and Monitoring - An Overview. IFAC-PapersOnLine. 53(2). 8488–8493. 1 indexed citations
8.
Harrison, Tim J., et al.. (2019). A new approach to railway track switch actuation: Dynamic simulation and control of a self-adjusting switch. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 234(7). 779–790. 8 indexed citations
9.
Ward, Christopher, et al.. (2018). The benefits of mechatronically-guided railway vehicles: A multi-body physics simulation study. Mechatronics. 51. 115–126. 17 indexed citations
10.
Harrison, Tim J., Christopher Ward, Roger Dixon, et al.. (2018). Repoint Track Switch Wheel-Rail Mechanical Interface Analysis. Huddersfield Research Portal (University of Huddersfield).
11.
Harrison, Tim J., et al.. (2018). Development of Controller for REPOINT Light Railway Track Switch. Loughborough University Institutional Repository (Loughborough University). 126–126. 1 indexed citations
12.
Ward, Christopher, et al.. (2018). Benefits of mechatronically guided vehicles on railway track switches. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 234(3). 276–288. 4 indexed citations
13.
Srivastava, Amit, Christopher Ward, & Rajni V. Patel. (2017). Adaptive neural Preisach model and model predictive control of Shape Memory Alloy actuators. 163. 1179–1184. 6 indexed citations
14.
Harrison, Tim J., et al.. (2016). Rethinking Rail Track Switches for Fault Tolerance and Enhanced Performance. IFAC-PapersOnLine. 49(21). 260–266. 2 indexed citations
15.
Alfi, S., Davide Prandi, Christopher Ward, Stefano Bruni, & R.M. Goodall. (2015). 1D33 Active secondary yaw control to improve curving behaviour of a railway vehicle(Vehicles-Dynamics). 2015(0). _1D33–1_. 1 indexed citations
16.
Wright, Nicolas G., et al.. (2014). A model of a repoint track switch for control. Loughborough University Institutional Repository (Loughborough University). 549–554. 9 indexed citations
17.
Ward, Christopher, et al.. (2013). Verification of Model-based Adhesion Estimation in the Wheel-rail Interface. SHILAP Revista de lepidopterología. 33. 757–762. 8 indexed citations
18.
Ward, Christopher, R.M. Goodall, & Roger Dixon. (2011). Creep force estimation at the wheel-rail interface. Loughborough University Institutional Repository (Loughborough University). 8 indexed citations
19.
Ward, Christopher, et al.. (2010). Condition monitoring opportunities using vehicle-based sensors. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 1(-1). 1–17. 12 indexed citations
20.
Ward, Christopher, Roger Dixon, & R.M. Goodall. (2010). Wheel-Rail Profile Condition Monitoring. Loughborough University Institutional Repository (Loughborough University). 1184–1189. 14 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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