Jorge Ambrósio

8.7k total citations
190 papers, 6.3k citations indexed

About

Jorge Ambrósio is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jorge Ambrósio has authored 190 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Control and Systems Engineering, 101 papers in Mechanical Engineering and 51 papers in Civil and Structural Engineering. Recurrent topics in Jorge Ambrósio's work include Dynamics and Control of Mechanical Systems (98 papers), Railway Engineering and Dynamics (54 papers) and Mechanical stress and fatigue analysis (40 papers). Jorge Ambrósio is often cited by papers focused on Dynamics and Control of Mechanical Systems (98 papers), Railway Engineering and Dynamics (54 papers) and Mechanical stress and fatigue analysis (40 papers). Jorge Ambrósio collaborates with scholars based in Portugal, United States and United Kingdom. Jorge Ambrósio's co-authors include Paulo Flores, J. Pombo, José Carlos Pimenta Claro, Manuel Pereira, Hamid M. Lankarani, Miguel Silva, C. S. Koshy, A. Ramalho, C. Pereira and Pedro Antunes and has published in prestigious journals such as European Journal of Operational Research, Computer Methods in Applied Mechanics and Engineering and Journal of Biomechanics.

In The Last Decade

Jorge Ambrósio

187 papers receiving 6.1k citations

Peers

Jorge Ambrósio

CSE

Hamid M. Lankarani United States

Paulo Flores Portugal

Andrew Ball United Kingdom

Subhash Rakheja Canada

Huajiang Ouyang United Kingdom

Aki Mikkola Finland

Francesco Braghin Italy

Parviz E. Nikravesh United States

Reza N. Jazar Australia

Bangchun Wen China

Hamid M. Lankarani United States

Jorge Ambrósio

3.1k ×0.8

4.1k ×1.2

CSE

1.5k ×0.8

1.3k ×0.9

CSE

783 ×1.0

Citations per year, relative to Jorge Ambrósio Jorge Ambrósio (= 1×) peers Hamid M. Lankarani

Countries citing papers authored by Jorge Ambrósio

Since Specialization

Citations

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

Fields of papers citing papers by Jorge Ambrósio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Ambrósio

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Ambrósio. A scholar is included among the top collaborators of Jorge Ambrósio 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 Jorge Ambrósio. Jorge Ambrósio 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

Maia, N. M. M., et al.. (2025). Transmissibility-based methods for damage identification on a railway bogie frame. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 47(3). 2 indexed citations

Ambrósio, Jorge, et al.. (2024). Robust assessment of railway vehicle safety risks in operation using a proposed data-driven wheel profile generation approach: Design of computer experiments and surrogate models. Reliability Engineering & System Safety. 249. 110220–110220. 6 indexed citations

Maia, N. M. M., et al.. (2023). On the use of transmissibility for the detection of damaged springs in the primary suspension of a locomotive. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 238(2). 237–248. 2 indexed citations

Antunes, Pedro, et al.. (2023). Multibody Modelling of a Friction Damped Locomotive for Virtual Homologation. 1. 1–7.

Ambrósio, Jorge, et al.. (2022). Safety assessment using computer experiments and surrogate modeling: Railway vehicle safety and track quality indices. Reliability Engineering & System Safety. 229. 108856–108856. 13 indexed citations

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

Andrade, António R., et al.. (2022). Combining wavelet analysis of track irregularities and vehicle dynamics simulations to assess derailment risks. Vehicle System Dynamics. 61(1). 150–176. 12 indexed citations

Areias, P., Timon Rabczuk, & Jorge Ambrósio. (2021). Extrapolation and Ce‐based implicit integration of anisotropic constitutive behavior. International Journal for Numerical Methods in Engineering. 122(13). 3218–3240. 3 indexed citations

Ambrósio, Jorge, et al.. (2021). A multivariate statistical representation of railway track irregularities using ARMA models. Vehicle System Dynamics. 60(7). 2494–2510. 16 indexed citations

10.

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

11.

Magalhães, H., et al.. (2020). Derailment study of railway cargo vehicles using a response surface methodology. Vehicle System Dynamics. 60(1). 309–334. 25 indexed citations

12.

Carvalho, Marta S., João Milho, Jorge Ambrósio, & Natália Ramos. (2016). Railway occupant passive safety improvement by optimal design. International Journal of Crashworthiness. 22(6). 624–634. 19 indexed citations

13.

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

14.

Lopes, Daniel Simões, Miguel Silva, Jorge Ambrósio, & Paulo Flores. (2010). A mathematical framework for rigid contact detection between quadric and superquadric surfaces. Multibody System Dynamics. 24(3). 255–280. 76 indexed citations

15.

Carvalho, Marta S. & Jorge Ambrósio. (2010). Identification of optimal multibody vehicle models for crash analysis. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 48(3). 623–643. 1 indexed citations

16.

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

17.

Ambrósio, Jorge, et al.. (2002). Advanced modelling of flexible multibody systems using virtual bodies. Computer Assisted Mechanics and Engineering Sciences. 374–390. 5 indexed citations

18.

Ambrósio, Jorge. (2001). Crashworthiness : energy management and occupant protection. Springer eBooks. 29 indexed citations

19.

Silva, Miguel & Jorge Ambrósio. (1998). THE IMPORTANCE OF CONSISTENT KINEMATIC DATA IN THE INVERSEDYNAMIC ANALYSIS OF BIOMECHANICAL MODELS. ISBS - Conference Proceedings Archive. 1(1).

20.

Nikravesh, Parviz E., Jorge Ambrósio, & Manuel Pereira. (1990). Rollover simulation and crashworthiness analysis of trucks. 2(3). 387–401. 7 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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