Araliya Mosleh

872 total citations
38 papers, 639 citations indexed

About

Araliya Mosleh is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Araliya Mosleh has authored 38 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Civil and Structural Engineering, 25 papers in Mechanical Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Araliya Mosleh's work include Railway Engineering and Dynamics (23 papers), Structural Health Monitoring Techniques (16 papers) and Seismic Performance and Analysis (12 papers). Araliya Mosleh is often cited by papers focused on Railway Engineering and Dynamics (23 papers), Structural Health Monitoring Techniques (16 papers) and Seismic Performance and Analysis (12 papers). Araliya Mosleh collaborates with scholars based in Portugal, Iran and Mexico. Araliya Mosleh's co-authors include Rui Calçada, P.A. Montenegro, Pedro Alves Costa, Diogo Ribeiro, Humberto Varum, Mehran S. Razzaghi, Andreia Meixedo, J.M. Jara, Cecília Vale and Rúben Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.

In The Last Decade

Araliya Mosleh

35 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Araliya Mosleh Portugal	15	436	362	138	62	54	38	639
Cecília Vale Portugal	13	235 0.5×	392 1.1×	83 0.6×	115 1.9×	27 0.5×	30	484
Alexandre Cury Brazil	19	691 1.6×	171 0.5×	70 0.5×	24 0.4×	8 0.1×	58	802
Andreia Meixedo Portugal	13	289 0.7×	273 0.8×	102 0.7×	64 1.0×	35 0.6×	27	438
Liangfu Ge China	10	292 0.7×	104 0.3×	27 0.2×	50 0.8×	21 0.4×	14	411
Shang Jiang China	10	461 1.1×	109 0.3×	26 0.2×	36 0.6×	15 0.3×	19	565
Xuebing Xu China	11	194 0.4×	225 0.6×	221 1.6×	59 1.0×	8 0.1×	18	543
Wensheng Su China	10	184 0.4×	278 0.8×	309 2.2×	43 0.7×	9 0.2×	19	549
Rolands Kromanis United Kingdom	14	533 1.2×	86 0.2×	38 0.3×	15 0.2×	8 0.1×	31	656
Tao Xin China	14	265 0.6×	431 1.2×	38 0.3×	117 1.9×	5 0.1×	50	552
Jaho Seo Canada	12	95 0.2×	230 0.6×	189 1.4×	23 0.4×	8 0.1×	66	447

Countries citing papers authored by Araliya Mosleh

Since Specialization

Citations

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

Fields of papers citing papers by Araliya Mosleh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Araliya Mosleh

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

Mosleh, Araliya, Ramin Ghiasi, Meisam Gordan, Diogo Ribeiro, & Abdollah Malekjafarian. (2025). Wayside monitoring for railway wheel flat identification: A multiclass supervised learning approach. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 240(1). 112–129.

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

Ghiasi, Ramin, Meisam Gordan, Araliya Mosleh, Diogo Ribeiro, & Abdollah Malekjafarian. (2024). M-CLUSTER: multistage clustering for unsupervised train wheel condition monitoring. Vehicle System Dynamics. 64(1). 177–202. 3 indexed citations

Mohammadzadeh, Saeed, et al.. (2024). Correlation Analysis of Railway Track Alignment and Ballast Stiffness: Comparing Frequency-Based and Machine Learning Algorithms. Algorithms. 17(8). 372–372. 5 indexed citations

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, 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

Gordan, Meisam, Ramin Ghiasi, Araliya Mosleh, Diogo Ribeiro, & Abdollah Malekjafarian. (2024). Blockchain-enabled Data Mining for Pre-Condition Monitoring in Railway Infrastructure. e-Journal of Nondestructive Testing. 29(7).

Mosleh, Araliya, Andreia Meixedo, Diogo Ribeiro, P.A. Montenegro, & Rui Calçada. (2023). Intelligent clustering-based approach for railway wheel flat detection. 1. 1–6. 1 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

10.

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

11.

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

12.

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

13.

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

14.

Mosleh, Araliya, et al.. (2023). Probabilistic Seismic Safety Assessment of Railway Embankments. Applied Sciences. 13(1). 598–598. 8 indexed citations

15.

Mosleh, Araliya, Andreia Meixedo, Diogo Ribeiro, P.A. Montenegro, & Rui Calçada. (2022). Early wheel flat detection: an automatic data-driven wavelet-based approach for railways. Vehicle System Dynamics. 61(6). 1644–1673. 44 indexed citations

16.

Mosleh, Araliya, et al.. (2020). Development of a Low-Cost Trackside System for Weighing in Motion and Wheel Defects Detection. 7(1). 1–9. 10 indexed citations

17.

Razzaghi, Mehran S., et al.. (2018). Fragility assessment of RC bridges using numerical analysisand artificial neural networks. Earthquakes and Structures. 15(4). 431. 13 indexed citations

18.

Mosleh, Araliya, et al.. (2016). Seismic Vulnerability assessment of concrete railway bridge using nonlinear analyses. 6(2). 41–49. 2 indexed citations

19.

Mosleh, Araliya, Mehran S. Razzaghi, J.M. Jara, & Humberto Varum. (2016). Development of fragility curves for RC bridges subjected to reverse and strike-slip seismic sources. Earthquakes and Structures. 11(3). 517–538. 23 indexed citations

20.

Mosleh, Araliya, J.M. Jara, & Humberto Varum. (2015). A methodology for Determining the Seismic Vulnerability of Old Concrete Highway Bridges by Using Fragility Curves. 5(1). 1–7. 12 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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