J. Pombo

3.1k total citations
77 papers, 2.3k citations indexed

About

J. Pombo is a scholar working on Mechanical Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, J. Pombo has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Mechanical Engineering, 37 papers in Mechanics of Materials and 18 papers in Control and Systems Engineering. Recurrent topics in J. Pombo's work include Railway Engineering and Dynamics (66 papers), Mechanical stress and fatigue analysis (35 papers) and Electrical Contact Performance and Analysis (26 papers). J. Pombo is often cited by papers focused on Railway Engineering and Dynamics (66 papers), Mechanical stress and fatigue analysis (35 papers) and Electrical Contact Performance and Analysis (26 papers). J. Pombo collaborates with scholars based in Portugal, United Kingdom and Spain. J. Pombo's co-authors include Jorge Ambrósio, Manuel Pereira, Pedro Antunes, H. Magalhães, N. Kuka, Caterina Ariaudo, Miguel Silva, Roger Lewis, R.S. Dwyer-Joyce and Alan Facchinetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Energy.

In The Last Decade

J. Pombo

76 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Pombo Portugal	29	2.1k	981	537	534	416	77	2.3k
Oldřich Polách Germany	16	1.5k 0.7×	704 0.7×	371 0.7×	327 0.6×	198 0.5×	30	1.6k
Sebastian Stichel Sweden	26	1.7k 0.8×	566 0.6×	541 1.0×	530 1.0×	244 0.6×	119	2.0k
Pingbo Wu China	24	1.3k 0.6×	567 0.6×	160 0.3×	582 1.1×	185 0.4×	92	1.6k
Jens C. O. Nielsen Sweden	38	3.7k 1.8×	1.6k 1.7×	520 1.0×	1.9k 3.5×	263 0.6×	116	3.9k
Zaigang Chen China	34	3.6k 1.7×	1.1k 1.1×	176 0.3×	320 0.6×	964 2.3×	136	3.9k
Maoru Chi China	22	1.2k 0.6×	469 0.5×	156 0.3×	423 0.8×	198 0.5×	95	1.3k
Stuart L. Grassie United Kingdom	27	3.0k 1.5×	1.2k 1.3×	567 1.1×	1.6k 2.9×	117 0.3×	63	3.2k
Shihui Luo China	17	791 0.4×	262 0.3×	231 0.4×	178 0.3×	325 0.8×	84	998
T.X. Mei United Kingdom	21	1.1k 0.5×	137 0.1×	300 0.6×	505 0.9×	403 1.0×	68	1.3k
Pengfei Liu China	15	661 0.3×	248 0.3×	146 0.3×	270 0.5×	136 0.3×	92	867

Countries citing papers authored by J. Pombo

Since Specialization

Citations

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

Fields of papers citing papers by J. Pombo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Pombo

This figure shows the co-authorship network connecting the top 25 collaborators of J. Pombo. A scholar is included among the top collaborators of J. Pombo 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 J. Pombo. J. Pombo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Song, Yang, et al.. (2025). A deep learning-based surrogate model for dynamic interaction assessment of high-speed overhead conductor rail system. Engineering Structures. 343. 121221–121221.

Sáinz-Aja, José A., J. Pombo, Isidro Carrascal, et al.. (2024). Machine Learning-Based Parametric Analysis of Railway Systems. 7. 1–10. 1 indexed citations

Wang, Zuolu, Dong Zhen, J. Pombo, et al.. (2024). Adaptable capacity estimation of lithium-ion battery based on short-duration random constant-current charging voltages and convolutional neural networks. Energy. 306. 132541–132541. 9 indexed citations

Sáinz-Aja, José A., Isidro Carrascal, Diego Ferreño, et al.. (2024). Impact of hydrocarbon exposure on the mechanical properties of rail pads. Construction and Building Materials. 419. 135561–135561. 3 indexed citations

Mishra, Rakesh, et al.. (2023). Modelling dynamic pantograph loads with combined numerical analysis. SHILAP Revista de lepidopterología. 32(1). 81–94. 9 indexed citations

Schirrer, Alexander, et al.. (2023). Time delay in a mechatronic Power-HIL system: Analysis and model-based compensation. Control Engineering Practice. 144. 105832–105832. 2 indexed citations

Antunes, Pedro, et al.. (2023). A Pantograph-Catenary Dynamic Analysis Tool to Support Railway Electrification Projects. Huddersfield Research Portal (University of Huddersfield). 1. 1–7. 1 indexed citations

Pombo, J., et al.. (2023). Pantograph-Catenary Dynamic Studies on Contact Wire Gradients Considering Aerodynamic Effects. Huddersfield Research Portal (University of Huddersfield). 1. 1–8. 1 indexed citations

Sáinz-Aja, José A., et al.. (2023). Prediction of slab track settlement using an innovative 3D train-track numerical tool: Full-Scale laboratory validation. Construction and Building Materials. 408. 133438–133438. 1 indexed citations

10.

Wang, Di, et al.. (2022). Vibration Reduction in Ballasted Track Using Ballast Mat: Numerical and Experimental Evaluation by Wheelset Drop Test. Applied Sciences. 12(4). 1844–1844. 12 indexed citations

11.

Magalhães, H., Filipe Marques, Pedro Antunes, et al.. (2022). Wheel-rail contact models in the presence of switches and crossings. Vehicle System Dynamics. 61(3). 838–870. 18 indexed citations

12.

Pombo, J., José A. Sáinz-Aja, Isidro Carrascal, et al.. (2021). Three-dimensional modelling of slab-track systems based on dynamic experimental tests. Transportation Geotechnics. 31. 100663–100663. 14 indexed citations

13.

Antunes, Pedro, et al.. (2020). A novel methodology to automatically include general track flexibility in railway vehicle dynamic analyses. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 235(4). 478–493. 13 indexed citations

14.

Marques, Filipe, H. Magalhães, J. Pombo, Jorge Ambrósio, & Paulo Flores. (2020). A three-dimensional approach for contact detection between realistic wheel and rail surfaces for improved railway dynamic analysis. Mechanism and Machine Theory. 149. 103825–103825. 52 indexed citations

15.

Magalhães, H., et al.. (2016). Simulation of a Railway Vehicle Running in a Mountainous Track at a Prescribed Speed. Civil-comp proceedings. 110. 2 indexed citations

16.

Pombo, J., et al.. (2015). Development of a Methodology for the Geometric Parameterization of Three-Dimensional Tracks. Civil-comp proceedings. 108. 3 indexed citations

17.

Ambrósio, Jorge, et al.. (2012). A COMPUTATIONAL PROCEDURE FOR THE DYNAMIC ANALYSIS OF THE CATENARY-PANTOGRAPH INTERACTION IN HIGH-SPEED TRAINS. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 50(3). 681–699. 63 indexed citations

18.

Pombo, J., et al.. (2009). Influence of the aerodynamic forces on the pantograph–catenary system for high-speed trains. Vehicle System Dynamics. 47(11). 1327–1347. 121 indexed citations

19.

Pombo, J., et al.. (2008). A Railway Wheel Wear Prediction Tool Based on Multibody Software. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 48(3). 159–168. 32 indexed citations

20.

Pombo, J. & Jorge Ambrósio. (2007). Application of a wheel–rail contact model to railway dynamics in small radius curved tracks. Multibody System Dynamics. 19(1-2). 91–114. 86 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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