Cecília Vale

677 total citations
30 papers, 484 citations indexed

About

Cecília Vale is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Cecília Vale has authored 30 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 15 papers in Civil and Structural Engineering and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Cecília Vale's work include Railway Engineering and Dynamics (20 papers), Structural Health Monitoring Techniques (8 papers) and Infrastructure Maintenance and Monitoring (7 papers). Cecília Vale is often cited by papers focused on Railway Engineering and Dynamics (20 papers), Structural Health Monitoring Techniques (8 papers) and Infrastructure Maintenance and Monitoring (7 papers). Cecília Vale collaborates with scholars based in Portugal, Brazil and Slovakia. Cecília Vale's co-authors include Rui Calçada, Isabel M. Ribeiro, P.A. Montenegro, M. Lurdes Simões, Araliya Mosleh, Andreia Meixedo, Diogo Ribeiro, Rúben Silva, Raimundo Delgado and Abdur Rohim Boy Berawi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Reliability Engineering & System Safety.

In The Last Decade

Cecília Vale

27 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cecília Vale Portugal	13	392	235	115	83	76	30	484
Arne Nissen Sweden	16	439 1.1×	303 1.3×	110 1.0×	22 0.3×	108 1.4×	38	530
Tao Xin China	14	431 1.1×	265 1.1×	117 1.0×	38 0.5×	32 0.4×	50	552
Christopher Ward United Kingdom	13	396 1.0×	181 0.8×	147 1.3×	114 1.4×	10 0.1×	60	549
Pierre Dehombreux Belgium	12	366 0.9×	70 0.3×	123 1.1×	130 1.6×	22 0.3×	42	527
Wanxiu Teng China	11	257 0.7×	75 0.3×	40 0.3×	176 2.1×	5 0.1×	20	421
Tianci Gao China	10	163 0.4×	143 0.6×	59 0.5×	27 0.3×	3 0.0×	18	293
Mohammad Ali Rezvani Iran	15	252 0.6×	94 0.4×	49 0.4×	88 1.1×	8 0.1×	39	514
M. Molodova Netherlands	9	435 1.1×	326 1.4×	116 1.0×	56 0.7×	9 0.1×	16	495
Isabel M. Ribeiro Portugal	10	91 0.2×	73 0.3×	70 0.6×	80 1.0×	49 0.6×	26	381

Countries citing papers authored by Cecília Vale

Since Specialization

Citations

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

Fields of papers citing papers by Cecília Vale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cecília Vale

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

Vale, Cecília, et al.. (2025). Integrating Sustainable City Branding and Transport Planning: From Framework to Roadmap for Urban Sustainability. Future Transportation. 5(4). 172–172.

Mosleh, Araliya, Majid Mohammadi, Diogo Ribeiro, et al.. (2024). Smart Rail Infrastructure: Onboard Monitoring with Machine Learning for Track Defect Detection. Open Repository of the University of Porto (University of Porto). 7. 1–12. 1 indexed citations

Silva, Rúben, Diogo Ribeiro, J. M. Magalhaes, et al.. (2024). Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicle Using a Wayside System. Applied Sciences. 14(9). 3650–3650. 5 indexed citations

Silva, Rúben, Diogo Ribeiro, Andreia Meixedo, et al.. (2024). A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders. SHILAP Revista de lepidopterología. 32(4). 421–443. 12 indexed citations

Mosleh, Araliya, et al.. (2023). Wheel Out-of-Roundness Detection Using an Envelope Spectrum Analysis. Sensors. 23(4). 2138–2138. 9 indexed citations

Vale, Cecília, Diogo Ribeiro, Andreia Meixedo, et al.. (2023). Damage Identification for Railway Tracks Using Onboard Monitoring Systems in In-Service Vehicles and Data Science. Machines. 11(10). 981–981. 10 indexed citations

Mosleh, Araliya, et al.. (2023). An Unsupervised Learning Approach for Wayside Train Wheel Flat Detection. Sensors. 23(4). 1910–1910. 24 indexed citations

Silva, Rúben, Diogo Ribeiro, Cecília Vale, et al.. (2023). Detection of Wheel Polygonization Based on Wayside Monitoring and Artificial Intelligence. Sensors. 23(4). 2188–2188. 19 indexed citations

Silva, Rúben, Diogo Ribeiro, Cecília Vale, et al.. (2023). Early Identification of Unbalanced Freight Traffic Loads Based on Wayside Monitoring and Artificial Intelligence. Sensors. 23(3). 1544–1544. 16 indexed citations

10.

Vale, Cecília & M. Lurdes Simões. (2022). Prediction of Railway Track Condition for Preventive Maintenance by Using a Data-Driven Approach. Infrastructures. 7(3). 34–34. 11 indexed citations

11.

Mosleh, Araliya, et al.. (2022). Development and Validation of a Weigh-in-Motion Methodology for Railway Tracks. Sensors. 22(5). 1976–1976. 25 indexed citations

12.

Vale, Cecília, et al.. (2021). OPTIBOX - Software Tool for the OPTImal distribution of hot BOx aXle detectors. Road and rail infrastructure. 6. 533–540.

13.

Vale, Cecília. (2021). Wheel Flats in the Dynamic Behavior of Ballasted and Slab Railway Tracks. Applied Sciences. 11(15). 7127–7127. 13 indexed citations

14.

Montenegro, P.A., et al.. (2020). Evaluation of the train running safety under crosswinds - a numerical study on the influence of the wind speed and orientation considering the normative Chinese Hat Model. International Journal of Rail Transportation. 9(3). 204–231. 41 indexed citations

15.

Vale, Cecília, et al.. (2016). Novel Efficient Technologies in Europe for Axle Bearing Condition Monitoring – the MAXBE Project. Transportation research procedia. 14. 635–644. 35 indexed citations

16.

Berawi, Abdur Rohim Boy, Raimundo Delgado, Rui Calçada, & Cecília Vale. (2014). Evaluating Track Geometrical Quality through Different Methodologies. SHILAP Revista de lepidopterología. 32 indexed citations

17.

Vale, Cecília & Isabel M. Ribeiro. (2014). RAILWAY CONDITION-BASED MAINTENANCE MODEL WITH STOCHASTIC DETERIORATION. Journal of Civil Engineering and Management. 20(5). 686–692. 35 indexed citations

18.

Vale, Cecília & M. Lurdes Simões. (2013). Stochastic model for the geometrical rail track degradation process in the Portuguese railway Northern Line. Reliability Engineering & System Safety. 116. 91–98. 49 indexed citations

19.

Vale, Cecília, Isabel M. Ribeiro, & Rui Calçada. (2011). Scheduling tamping through global optimization of maintenance costs. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 4 indexed citations

20.

Vale, Cecília & Rui Calçada. (2010). Dynamic Response of a Coupled Vehicle-Track System to Real Longitudinal Rail Profiles. Civil-comp proceedings. 93. 3 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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