Javier Cuadrado

2.5k total citations
108 papers, 1.7k citations indexed

About

Javier Cuadrado is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Javier Cuadrado has authored 108 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Control and Systems Engineering, 40 papers in Mechanical Engineering and 30 papers in Biomedical Engineering. Recurrent topics in Javier Cuadrado's work include Dynamics and Control of Mechanical Systems (59 papers), Hydraulic and Pneumatic Systems (26 papers) and Vehicle Dynamics and Control Systems (25 papers). Javier Cuadrado is often cited by papers focused on Dynamics and Control of Mechanical Systems (59 papers), Hydraulic and Pneumatic Systems (26 papers) and Vehicle Dynamics and Control Systems (25 papers). Javier Cuadrado collaborates with scholars based in Spain, United States and Italy. Javier Cuadrado's co-authors include Daniel Dopico, Urbano Lugrís, Miguel Ángel Naya, Wim Desmet, Frank Naets, Manuel González, Eduardo Bayo, Alberto Luaces, Francisco González and Josep M. Font-Llagunes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Sensors.

In The Last Decade

Javier Cuadrado

104 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Cuadrado Spain 26 1.1k 682 394 391 342 108 1.7k
Javier García de Jalón Spain 19 1.7k 1.6× 915 1.3× 413 1.0× 484 1.2× 232 0.7× 40 2.1k
J. P. Meijaard Netherlands 21 1.2k 1.1× 562 0.8× 509 1.3× 724 1.9× 210 0.6× 91 1.8k
Wojciech Blajer Poland 22 1.1k 1.0× 419 0.6× 109 0.3× 244 0.6× 332 1.0× 69 1.4k
Olivier Brüls Belgium 24 1.4k 1.3× 625 0.9× 527 1.3× 161 0.4× 274 0.8× 144 2.2k
A. L. Schwab Netherlands 28 1.2k 1.1× 570 0.8× 493 1.3× 773 2.0× 1.0k 3.0× 92 2.9k
Haoping Wang China 26 1.6k 1.5× 403 0.6× 157 0.4× 173 0.4× 661 1.9× 206 2.5k
Eduardo Bayo Spain 28 2.4k 2.3× 1.2k 1.8× 1.3k 3.4× 466 1.2× 345 1.0× 95 3.7k
Mansour Karkoub Qatar 23 841 0.8× 536 0.8× 379 1.0× 201 0.5× 193 0.6× 128 1.7k
Parviz E. Nikravesh United States 24 2.4k 2.3× 1.5k 2.2× 930 2.4× 753 1.9× 376 1.1× 84 3.4k
Karim Abdel‐Malek United States 29 1.0k 0.9× 388 0.6× 252 0.6× 100 0.3× 1.1k 3.3× 154 2.5k

Countries citing papers authored by Javier Cuadrado

Since Specialization
Citations

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

Fields of papers citing papers by Javier Cuadrado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Cuadrado

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

All Works

20 of 20 papers shown
1.
Cuadrado, Javier, et al.. (2024). A multibody-dynamics based method for the estimation of wear evolution in the revolute joints of mechanisms that considers link flexibility. Mechanism and Machine Theory. 194. 105583–105583. 13 indexed citations
2.
Cuadrado, Javier, et al.. (2024). Simulating fatigue damage on planar mechanisms considering wear in revolute joints with clearance. Mechanism and Machine Theory. 203. 105805–105805. 3 indexed citations
3.
Lugrís, Urbano, et al.. (2024). Four-compartment muscle fatigue model to predict metabolic inhibition and long-lasting nonmetabolic components. Frontiers in Physiology. 15. 1366172–1366172. 2 indexed citations
4.
Luaces, Alberto, et al.. (2024). Use of patellofemoral digital twins for patellar tracking and treatment prediction: comparison of 3D models and contact detection algorithms. Frontiers in Bioengineering and Biotechnology. 12. 1347720–1347720. 6 indexed citations
5.
Lugrís, Urbano, et al.. (2023). Human motion capture, reconstruction, and musculoskeletal analysis in real time. Multibody System Dynamics. 60(1). 3–25. 12 indexed citations
6.
Naya, Miguel Ángel, et al.. (2023). Kalman filters based on multibody models: linking simulation and real world. A comprehensive review. Multibody System Dynamics. 58(3-4). 479–521. 11 indexed citations
7.
Frey‐Law, Laura, et al.. (2023). Applying a muscle fatigue model when optimizing load-sharing between muscles for short-duration high-intensity exercise: A preliminary study. Frontiers in Physiology. 14. 1167748–1167748. 7 indexed citations
9.
Cuadrado, Javier, et al.. (2022). State estimator based on an indirect Kalman filter for a hydraulically actuated multibody system. Multibody System Dynamics. 54(4). 373–398. 15 indexed citations
11.
Lugrís, Urbano, et al.. (2021). Lower Back Injury Prevention and Sensitization of Hip Hinge with Neutral Spine Using Wearable Sensors during Lifting Exercises. Sensors. 21(16). 5487–5487. 9 indexed citations
12.
Lugrís, Urbano, et al.. (2020). A Procedure to Define Customized Musculoskeletal Models for the Analysis of the Crutch-Orthosis-Assisted Gait of Spinal Cord Injured Subjects. Journal of Biomechanical Engineering. 142(12). 2 indexed citations
13.
Shourijeh, Mohammad S., et al.. (2020). Do Muscle Synergies Improve Optimization Prediction of Muscle Activations During Gait?. Frontiers in Computational Neuroscience. 14. 54–54. 8 indexed citations
14.
Palomba, Ilaria, et al.. (2019). Estimation of the digging and payload forces in excavators by means of state observers. Mechanical Systems and Signal Processing. 134. 106356–106356. 29 indexed citations
15.
Naya, Miguel Ángel, et al.. (2018). Roll angle estimator based on angular rate measurements for bicycles. Vehicle System Dynamics. 57(11). 1705–1719. 8 indexed citations
16.
Barreiro, Antonio, et al.. (2008). EXTENDED-KALMAN-FILTER OBSERVERS FOR MULTIBODY DYNAMICAL SYSTEMS. Infection. 35(5). 352–5. 1 indexed citations
17.
Cuadrado, Javier. (2008). Preface. Multibody System Dynamics. 20(2). 109–110. 1 indexed citations
18.
Cuadrado, Javier, et al.. (2007). Multibody Dynamics: Computational Methods and Applications. Springer eBooks. 35 indexed citations
19.
Dopico, Daniel, Urbano Lugrís, Manuel González, & Javier Cuadrado. (2005). IRK vs structural integrators for real-time applications in MBS. Journal of Mechanical Science and Technology. 19(S1). 388–394. 5 indexed citations
20.
González, Manuel & Javier Cuadrado. (2004). MBSLAB: A NEW COLLABORATIVE SIMULATION ENVIRONMENT FOR MULTIBODY SYSTEM ANALYSIS. 34(8). 1417–20.

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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