Publications :: Impact Factor Journals

Otamendi, J., Zubizarreta, A., Portillo, E. Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach, Neural Computing and Applications, pp. 1-17, 2023. JCR Impact Factor: 6.0 (2022). Quartile: Q2. https://doi.org/10.1007/s00521-023-08601-1
Bilbao, D., Ferrer, U., Viñals, J., Guerra, G., Irigoyen, E., Cabanes, I. Self-coupling robotic system for the SIROM multifunctional interface (Sistema robótico de auto-acoplamiento para la interfaz multifuncional SIROM)., Revista Iberoamericana de Automática e Informática Industrial (RIAI), vol. 20, No. 3, pp. 269-280, 2023. JCR Impact Factor: 0.471 (2022). Quartile: Q4. https://doi.org/10.4995/riai.2023.19271
Rasines, I., J, A., Cabanes, I. Minimum Cost Averaging for Multivariate Time Series Using Constrained Dynamic Time Warping: A Case Study in Robotics., IEEE Access, vol. 11, pp. 80600-80612, 2023. JCR Impact Factor: 3.9 (2022). Quartile: Q2. 10.1109/ACCESS.2023.3300720
Vermander, P., Mancisidor, A., Cabanes, I., Perez, N., Torres, J. Intelligent sitting posture classifier for wheelchair users, IEEE in Transactions on Neural Systems Rehabilitation Engineering, vol. 31, pp. 944-953, 2023. JCR Impact Factor: 4.528 (2022). Quartile: Q1. https://doi.org/10.1109/TNSRE.2023.3236692
Navajas, A., Manjarres, D., Portillo, E., Landa, I. A Hyper-heuristic Inspired Approach for Automatic Failure Prediction in the Context of Industry 4.0., Computers & Industrial Engineering, vol. 171, No. 108381, pp. 1-19, 2022. JCR Impact Factor: 7.9 (2022). Quartile: 1. https://doi.org/10.1016/j.cie.2022.108381
Niño, I., Landa, I., Portillo, E., Manjarres, D. Influence of Statistical Feature Normalisation Methods on K-Nearest Neighbours and K-Means in the Context of Industry 4.0., Engineering Applications of Artificial Intelligence, vol. 111, No. 104807, pp. 1-20, 2022. JCR Impact Factor: 8.0 (2022). Quartile: 1. https://doi.org/10.1016/j.engappai.2022.104807
Parra, A., Tavernini, D., Gruber, P., Sorniotti, A., Zubizarreta, A., Perez, J. On nonlinear model predictive control for energy-efficient torque-vectoring, IEEE Transactions on Vehicular Technology, vol. 70, No. 1, pp. 173-188, 2022. JCR Impact Factor: 6.239 (0). Quartile: Q1. https://doi.org/10.1109/TVT.2020.3022022
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