Andrew Starr

2.4k total citations
119 papers, 1.7k citations indexed

About

Andrew Starr is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Andrew Starr has authored 119 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Mechanical Engineering, 25 papers in Control and Systems Engineering and 25 papers in Mechanics of Materials. Recurrent topics in Andrew Starr's work include Fault Detection and Control Systems (13 papers), Infrastructure Maintenance and Monitoring (11 papers) and Machine Fault Diagnosis Techniques (11 papers). Andrew Starr is often cited by papers focused on Fault Detection and Control Systems (13 papers), Infrastructure Maintenance and Monitoring (11 papers) and Machine Fault Diagnosis Techniques (11 papers). Andrew Starr collaborates with scholars based in United Kingdom, Pakistan and United Arab Emirates. Andrew Starr's co-authors include Muhammad Khan, Alhussein Albarbar, Cristobal Ruiz-Cárcel, Peter J. Bryanston-Cross, A.Y.T. Leung, Jyoti K. Sinha, Samir Mekid, Ejay Nsugbe, Wei Hu and Andrew Ball and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Construction and Building Materials and The Journal of the Acoustical Society of America.

In The Last Decade

Andrew Starr

112 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Starr United Kingdom 21 486 379 303 278 249 119 1.7k
Jihong Yan China 19 440 0.9× 683 1.8× 317 1.0× 128 0.5× 352 1.4× 100 1.6k
Hongfu Zuo China 20 495 1.0× 747 2.0× 297 1.0× 140 0.5× 173 0.7× 163 1.7k
Jianhua Liu China 24 541 1.1× 370 1.0× 160 0.5× 218 0.8× 429 1.7× 178 2.2k
Michel van Tooren Netherlands 27 594 1.2× 294 0.8× 595 2.0× 505 1.8× 501 2.0× 141 2.7k
G. Gary Wang Canada 17 651 1.3× 216 0.6× 202 0.7× 487 1.8× 526 2.1× 31 3.1k
Ian Jennions United Kingdom 26 417 0.9× 703 1.9× 153 0.5× 110 0.4× 209 0.8× 147 2.0k
Samir Khan United Kingdom 15 311 0.6× 662 1.7× 203 0.7× 110 0.4× 157 0.6× 43 1.4k
Govind Vashishtha India 26 772 1.6× 976 2.6× 305 1.0× 149 0.5× 117 0.5× 83 1.7k
Aydin Azizi Iran 17 243 0.5× 142 0.4× 139 0.5× 236 0.8× 153 0.6× 71 956
Chaoqun Duan China 18 333 0.7× 322 0.8× 100 0.3× 91 0.3× 200 0.8× 60 1.4k

Countries citing papers authored by Andrew Starr

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Starr

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Starr. A scholar is included among the top collaborators of Andrew Starr 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 Andrew Starr. Andrew Starr 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.
Ruiz-Cárcel, Cristobal, et al.. (2024). Explainable and interpretable bearing fault classification and diagnosis under limited data. Advanced Engineering Informatics. 62. 102909–102909. 8 indexed citations
2.
Starr, Andrew, et al.. (2024). Fracture Toughness Investigation of AL6082-T651 Alloy under Corrosive Environmental Conditions. CERES (Cranfield University). 10. 3–14. 2 indexed citations
3.
Li, Jianping, Isidro Durazo-Cardenas, Cristobal Ruiz-Cárcel, et al.. (2024). Smart railways: the design and construction of an autonomous inspection and maintenance vehicle. Procedia CIRP. 128. 61–65. 1 indexed citations
4.
Khan, Muhammad, et al.. (2024). Parametric study for optimizing fiber‐reinforced concrete properties. Structural Concrete. 26(1). 88–110. 10 indexed citations
5.
Durazo-Cardenas, Isidro, et al.. (2024). False alarm reduction in railway track quality inspections using machine learning. PHM Society European Conference. 8(1). 8–8.
6.
Perinpanayagam, Suresh, et al.. (2023). Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets. IEEE Access. 11. 28724–28734. 2 indexed citations
7.
Liu, Haochen, et al.. (2023). A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy. Computers in Industry. 148. 103900–103900. 22 indexed citations
8.
9.
Starr, Andrew, et al.. (2023). Neural network-based parametric system identification: a review. International Journal of Systems Science. 54(13). 2676–2688. 37 indexed citations
10.
Khan, Muhammad, et al.. (2023). Automated Prediction of Crack Propagation Using H2O AutoML. Sensors. 23(20). 8419–8419. 7 indexed citations
11.
12.
Liu, Haochen, et al.. (2023). A Review on the Prospects of Mobile Manipulators for Smart Maintenance of Railway Track. Applied Sciences. 13(11). 6484–6484. 4 indexed citations
13.
Liu, Haochen, et al.. (2023). A Fiber-Guided Motorized Rotation Laser Scanning Thermography Technique for Impact Damage Crack Inspection in Composites. IEEE Transactions on Industrial Electronics. 71(3). 3163–3172. 12 indexed citations
14.
Ruiz-Cárcel, Cristobal, et al.. (2022). Data-Driven Wheel Slip Diagnostics for Improved Railway Operations. IFAC-PapersOnLine. 55(19). 103–108. 2 indexed citations
15.
Liu, Haochen, et al.. (2022). A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems. Sensors. 22(11). 4185–4185. 13 indexed citations
16.
Khan, Muhammad, et al.. (2021). Review of Current Guided Wave Ultrasonic Testing (GWUT) Limitations and Future Directions. Sensors. 21(3). 811–811. 87 indexed citations
17.
Liu, Haochen, et al.. (2020). A Novel Inspection Technique for Electronic Components Using Thermography (NITECT). Sensors. 20(17). 5013–5013. 4 indexed citations
18.
He, Feiyang, et al.. (2020). A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation. Sensors. 20(23). 6847–6847. 20 indexed citations
19.
Durazo-Cardenas, Isidro, Andrew Starr, Christopher Turner, et al.. (2018). An autonomous system for maintenance scheduling data-rich complex infrastructure: Fusing the railways’ condition, planning and cost. Transportation Research Part C Emerging Technologies. 89. 234–253. 41 indexed citations
20.
Turner, Christopher, et al.. (2017). A software architecture for autonomous maintenance scheduling: Scenarios for uk and european rail. International Journal of Transport Development and Integration. 1(3). 371–381. 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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