Pedro Urda

400 total citations
19 papers, 298 citations indexed

About

Pedro Urda is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Pedro Urda has authored 19 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 11 papers in Civil and Structural Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Pedro Urda's work include Railway Engineering and Dynamics (16 papers), Structural Health Monitoring Techniques (4 papers) and Inertial Sensor and Navigation (4 papers). Pedro Urda is often cited by papers focused on Railway Engineering and Dynamics (16 papers), Structural Health Monitoring Techniques (4 papers) and Inertial Sensor and Navigation (4 papers). Pedro Urda collaborates with scholars based in Spain, Finland and Denmark. Pedro Urda's co-authors include José L. Escalona, Sergio Muñoz, Javier F. Aceituno, Javier Pérez Fernández, Juan J. Castillo, Juan Antonio Cabrera Carrillo, Sergio Rojas, Aki Mikkola, Xinxin Yu and Adolfo Crespo Márquez and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Pedro Urda

18 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pedro Urda Spain	11	245	136	64	52	46	19	298
Javier F. Aceituno Spain	13	305 1.2×	121 0.9×	136 2.1×	40 0.8×	38 0.8×	22	360
Jieling Xiao China	8	272 1.1×	164 1.2×	51 0.8×	23 0.4×	45 1.0×	10	339
Tae-Won Park South Korea	11	241 1.0×	90 0.7×	85 1.3×	67 1.3×	21 0.5×	60	327
Andrzej Chudzikiewicz Poland	9	217 0.9×	100 0.7×	60 0.9×	65 1.3×	33 0.7×	57	286
Robert Konowrocki Poland	12	232 0.9×	184 1.4×	49 0.8×	55 1.1×	20 0.4×	37	393
Fansong Li China	14	396 1.6×	196 1.4×	186 2.9×	37 0.7×	47 1.0×	37	511
Yohei MICHITSUJI Japan	9	188 0.8×	66 0.5×	43 0.7×	37 0.7×	27 0.6×	66	278
Qinglie He China	10	256 1.0×	179 1.3×	46 0.7×	18 0.3×	68 1.5×	35	316

Countries citing papers authored by Pedro Urda

Since Specialization

Citations

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

Fields of papers citing papers by Pedro Urda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Urda

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

All Works

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19 of 19 papers shown

Muñoz, Sergio, et al.. (2025). Experimental study of the use of a transfer function to find rail corrugation from axle-box accelerations. Measurement. 249. 117058–117058. 1 indexed citations

Rodríguez, Miguel, Pedro Urda, & José L. Escalona. (2025). Calculation of the design horizontal geometry of a railway track using inertial sensors and GPS measurements recorded in line vehicles. Vehicle System Dynamics. 1–22.

Urda, Pedro, et al.. (2023). Digital Twin for condition based maintenance within a railway infrastructure testing lab. 4(1). 1 indexed citations

Rojas, Sergio, et al.. (2023). Real-Time Measurement of Track Irregularities Using an Instrumented Axle and Kalman Filtering Techniques. Journal of Computational and Nonlinear Dynamics. 18(11). 4 indexed citations

Urda, Pedro, et al.. (2023). Estimation of the trajectory and attitude of railway vehicles using inertial sensors with application to track geometry measurement. Vehicle System Dynamics. 62(4). 837–863. 2 indexed citations

Urda, Pedro, et al.. (2022). Design and testing of a steering damper for motorcycles based on a shear-thickening fluid. Smart Materials and Structures. 31(9). 95031–95031. 8 indexed citations

Aceituno, Javier F., et al.. (2022). Design and manufacture of a scaled railway track with mechanically variable geometry. Scientific Reports. 12(1). 8665–8665. 2 indexed citations

Escalona, José L., Pedro Urda, & Sergio Muñoz. (2021). A Track Geometry Measuring System Based on Multibody Kinematics, Inertial Sensors and Computer Vision. Sensors. 21(3). 683–683. 18 indexed citations

Muñoz, Sergio, et al.. (2021). Estimation of lateral track irregularity using a Kalman filter. Experimental validation. Journal of Sound and Vibration. 504. 116122–116122. 25 indexed citations

10.

Muñoz, Sergio, Pedro Urda, & José L. Escalona. (2021). Experimental measurement of track irregularities using a scaled track recording vehicle and Kalman filtering techniques. Mechanical Systems and Signal Processing. 169. 108625–108625. 18 indexed citations

11.

Urda, Pedro, et al.. (2021). Track frame approach for heading and attitude estimation in operating railways using on-board MEMS sensor and encoder. Measurement. 184. 109898–109898. 12 indexed citations

12.

Urda, Pedro, Javier F. Aceituno, Sergio Muñoz, & José L. Escalona. (2021). Measurement of railroad track irregularities using an automated recording vehicle. Measurement. 183. 109765–109765. 17 indexed citations

13.

Muñoz, Sergio, et al.. (2021). Estimation of Lateral Track Irregularity Through Kalman Filtering Techniques. IEEE Access. 9. 60010–60025. 23 indexed citations

14.

Urda, Pedro, Sergio Muñoz, Javier F. Aceituno, & José L. Escalona. (2020). Application and Experimental Validation of a Multibody Model with Weakly Coupled Lateral and Vertical Dynamics to a Scaled Railway Vehicle. Sensors. 20(13). 3700–3700. 9 indexed citations

15.

Aceituno, Javier F., et al.. (2020). Analysis of the two-point wheel-rail contact scenario using the knife-edge-equivalent contact constraint method. Mechanism and Machine Theory. 148. 103803–103803. 20 indexed citations

16.

Urda, Pedro, Javier F. Aceituno, Sergio Muñoz, & José L. Escalona. (2020). Artificial neural networks applied to the measurement of lateral wheel-rail contact force: A comparison with a harmonic cancellation method. Mechanism and Machine Theory. 153. 103968–103968. 40 indexed citations

17.

Urda, Pedro, Sergio Muñoz, Javier F. Aceituno, & José L. Escalona. (2019). Wheel-rail contact force measurement using strain gauges and distance lasers on a scaled railway vehicle. Mechanical Systems and Signal Processing. 138. 106555–106555. 36 indexed citations

18.

Escalona, José L., et al.. (2019). Railway multibody simulation with the knife-edge-equivalent wheel–rail constraint equations. Multibody System Dynamics. 48(4). 373–402. 16 indexed citations

19.

Muñoz, Sergio, Javier F. Aceituno, Pedro Urda, & José L. Escalona. (2018). Multibody model of railway vehicles with weakly coupled vertical and lateral dynamics. Mechanical Systems and Signal Processing. 115. 570–592. 46 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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