Rolf Dollevoet

4.5k total citations
127 papers, 3.5k citations indexed

About

Rolf Dollevoet is a scholar working on Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Rolf Dollevoet has authored 127 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Mechanical Engineering, 70 papers in Mechanics of Materials and 44 papers in Civil and Structural Engineering. Recurrent topics in Rolf Dollevoet's work include Railway Engineering and Dynamics (104 papers), Mechanical stress and fatigue analysis (52 papers) and Adhesion, Friction, and Surface Interactions (25 papers). Rolf Dollevoet is often cited by papers focused on Railway Engineering and Dynamics (104 papers), Mechanical stress and fatigue analysis (52 papers) and Adhesion, Friction, and Surface Interactions (25 papers). Rolf Dollevoet collaborates with scholars based in Netherlands, China and Belgium. Rolf Dollevoet's co-authors include Zili Li, Alfredo Núñez, Xin Zhao, Zili Li, M. Molodova, M. Oregui, M.J.M.M. Steenbergen, Ling Chang, Ramon F. Hanssen and Hongrui Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Sensors.

In The Last Decade

Rolf Dollevoet

123 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rolf Dollevoet Netherlands 37 2.9k 1.5k 1.5k 504 362 127 3.5k
Rui Calçada Portugal 46 4.3k 1.5× 4.5k 3.0× 1.6k 1.1× 448 0.9× 1.1k 2.9× 234 6.4k
Andrea Rindi Italy 27 1.4k 0.5× 269 0.2× 789 0.5× 429 0.9× 149 0.4× 122 1.8k
Shengyang Zhu China 33 2.6k 0.9× 2.2k 1.5× 598 0.4× 202 0.4× 945 2.6× 128 3.1k
V.L. Markine Netherlands 31 1.8k 0.6× 1.4k 0.9× 653 0.4× 211 0.4× 483 1.3× 107 2.2k
Yu Qian United States 27 1.4k 0.5× 2.0k 1.4× 395 0.3× 256 0.5× 254 0.7× 143 2.7k
Mattias Schevenels Belgium 27 950 0.3× 2.9k 2.0× 1.1k 0.8× 269 0.5× 414 1.1× 82 3.4k
M.F.M. Hussein United Kingdom 26 1.7k 0.6× 2.4k 1.6× 396 0.3× 130 0.3× 750 2.1× 92 2.9k
F.T.K. Au Hong Kong 37 1.4k 0.5× 3.3k 2.2× 1.3k 0.9× 43 0.1× 198 0.5× 190 4.3k
Mayorkinos Papaelias United Kingdom 26 1.6k 0.6× 827 0.6× 881 0.6× 222 0.4× 39 0.1× 104 2.9k
Manuel Pereira Portugal 26 1.1k 0.4× 389 0.3× 563 0.4× 241 0.5× 62 0.2× 67 1.7k

Countries citing papers authored by Rolf Dollevoet

Since Specialization
Citations

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

Fields of papers citing papers by Rolf Dollevoet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rolf Dollevoet

This figure shows the co-authorship network connecting the top 25 collaborators of Rolf Dollevoet. A scholar is included among the top collaborators of Rolf Dollevoet 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 Rolf Dollevoet. Rolf Dollevoet 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.
Li, Shaoguang, et al.. (2025). Microstructural investigation into the damage mechanism of short pitch rail corrugation. Engineering Failure Analysis. 174. 109512–109512. 2 indexed citations
2.
He, Chunyan, et al.. (2025). Infrared temperature measurement of wheel-rail frictional rolling contact with high slip ratios. Case Studies in Thermal Engineering. 73. 106642–106642. 3 indexed citations
3.
4.
He, Chunyan, Zhen Yang, Pan Zhang, Rolf Dollevoet, & Zili Li. (2025). Thermomechanical finite element modelling of wheel-rail contact and experimental validation. Tribology International. 209. 110666–110666. 3 indexed citations
5.
Zhang, Pan, Chunyan He, Chen Shen, Rolf Dollevoet, & Zili Li. (2024). Comprehensive validation of three-dimensional finite element modelling of wheel-rail high-frequency interaction via the V-Track test rig. Vehicle System Dynamics. 62(11). 2785–2809. 5 indexed citations
6.
Wang, Hongrui, et al.. (2024). Neural Differential Equation-Based Two-Stage Approach for Generalization of Beam Dynamics. IEEE Transactions on Industrial Informatics. 21(3). 2481–2490. 2 indexed citations
7.
Wang, Hongrui, et al.. (2024). Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations. Engineering Applications of Artificial Intelligence. 133. 108085–108085. 23 indexed citations
8.
9.
Wang, Hongrui, et al.. (2023). Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 5981–5995. 61 indexed citations
10.
Wang, Li, et al.. (2023). Rail wear rate on the Belgian railway network – a big-data analysis. International Journal of Rail Transportation. 12(5). 765–780. 5 indexed citations
11.
Shen, Chen, et al.. (2023). An Interpretable Method for Operational Modal Analysis in Time-Frequency Representation and Its Applications to Railway Sleepers. Structural Control and Health Monitoring. 2023. 1–26. 8 indexed citations
12.
Wang, Hongrui, Alfredo Núñez, Zhigang Liu, Dongliang Zhang, & Rolf Dollevoet. (2019). A Bayesian Network Approach for Condition Monitoring of High-Speed Railway Catenaries. IEEE Transactions on Intelligent Transportation Systems. 21(10). 4037–4051. 35 indexed citations
13.
Deng, Xiangyun, Zhiwei Qian, Zili Li, & Rolf Dollevoet. (2018). Investigation of the formation of corrugation-induced rail squats based on extensive field monitoring. International Journal of Fatigue. 112. 94–105. 38 indexed citations
14.
Li, Zili, et al.. (2018). In situ measurements of the crossing vibrations of a railway turnout. Measurement. 125. 313–324. 31 indexed citations
15.
Yang, Zhen, et al.. (2017). Numerical and experimental study of wheel-rail impact vibration and noise generated at an insulated rail joint. International Journal of Impact Engineering. 113. 29–39. 57 indexed citations
16.
Markine, V.L., et al.. (2016). Robust optimisation of railway crossing geometry. Vehicle System Dynamics. 54(5). 617–637. 15 indexed citations
17.
Oregui, M., Zili Li, & Rolf Dollevoet. (2014). An investigation into the modeling of railway fastening. International Journal of Mechanical Sciences. 92. 1–11. 64 indexed citations
18.
Zhao, Xin, Zili Li, & Rolf Dollevoet. (2013). The vertical and the longitudinal dynamic responses of the vehicle–track system to squat-type short wavelength irregularity. Vehicle System Dynamics. 51(12). 1918–1937. 44 indexed citations
19.
Molodova, M., Zili Li, Alfredo Núñez, & Rolf Dollevoet. (2013). Monitoring the railway infrastructure: Detection of surface defects using wavelets. 1316–1321. 18 indexed citations
20.
Steenbergen, M.J.M.M., C Esveld, & Rolf Dollevoet. (2005). New Dutch assessment of rail welding geometry. 11(1). 10 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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