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Boumédiène Derras

Observed names: B. Derras, B. Derras, Boumediene Derras, Boumediene derras, Boumédiène Derras, Boumédiene Derras, Boumédiène DERRAS, DERRAS, Boumédiène, Derras Boumediene, Derras, Boumediene, Derras, Boumédiène, Derras, Boumédiène
Observed institutions: Centre National de la Recherche Scientifique, Université Joseph Fourier, University of Abou Bekr Belkaïd, Institut des Sciences de la Terre, Université de Saida Dr Moulay Tahar, Observatoire des Sciences de l'Univers de Grenoble, Communauté Université Grenoble Alpes, Université Savoie Mont Blanc, Université Grenoble Alpes
ORCID: 0000-0002-3979-7083
Observed ORCID: 0000-0002-3979-7083
OpenAlex ID: A5003937726
Towards fully data driven ground-motion prediction models for Europe
2013 · Boumédiène Derras, Pierre Yves Bard, et al. · Bulletin of Earthquake Engineering · 167
Adapting the Neural Network Approach to PGA Prediction: An Example Based on the KiK-net Data
2012 · B. Derras, P.-Y. Bard, et al. · Bulletin of the Seismological Society of America · 130
V S30, slope, H 800 and f 0: performance of various site-condition proxies in reducing ground-motion aleatory variability and predicting nonlinear site response
2017 · Boumédiène Derras, Pierre-Yves Bard, et al. · Earth Planets and Space · 89
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Comparisons among the five ground-motion models developed using RESORCE for the prediction of response spectral accelerations due to earthquakes in Europe and the Middle East
2013 · John Douglas, Sinan Akkar, et al. · Bulletin of Earthquake Engineering · 83
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Site‐Condition Proxies, Ground Motion Variability, and Data‐Driven GMPEs: Insights from the NGA‐West2 and RESORCE Data Sets
2016 · Boumédiène Derras, Pierre‐Yves Bard, et al. · Earthquake Spectra · 79
Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies
2017 · Ahmed Boudghene Stambouli, Djawad Zendagui, et al. · Earth Planets and Space · 40
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Non-linear modulation of site response: Sensitivity to various surface ground-motion intensity measures and site-condition proxies using a neural network approach
2020 · Boumédiène Derras, Pierre-Yves Bard, et al. · Engineering Geology · 32
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Ground Motion Prediction Model Using Adaptive Neuro-Fuzzy Inference Systems: An Example Based on the NGA-West 2 Data
2017 · Mourad Ameur, Boumédiène Derras, et al. · Pure and Applied Geophysics · 23
Seismic Resilience of Interdependent Built Environment for Integrating Structural Health Monitoring and Emerging Technologies in Decision-Making
2024 · Nisrine Makhoul, Milad Roohi, et al. · Structural Engineering International · 21
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A regionalized partially nonergodic ground-motion data driven model for low to moderate seismicity areas: using RESIF-RAP, ESM, RESORCE and NGA-West2 data
2024 · Fayçal Chaibeddra Tani, Boumédiène Derras · Bulletin of Earthquake Engineering · 10
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Peak Ground Acceleration Prediction Using Artificial Neural Networks Approach: Application to the Kik-Net Data
2014 · B. Derras · International Journal of Earthquake Engineering and Hazard Mitigation (IREHM) · 9
Use of the Artificial Neural Network for Peak Ground Acceleration Estimation
2011 · Boumédiène Derras, Abdelmalek Bekkouche · 8
Site-Conditions Proxies, Ground-Motion Variability and Data-Driven GMPEs: Insights from NGA-West 2 and RESORCE Data Sets
2016 · Boumédiène Derras, Pierre‐Yves Bard, et al. · Publication Database GFZ (GFZ German Research Centre for Geosciences) · 7
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Data-driven testing of the magnitude dependence of earthquake stress parameters using the NGA-West 2 dataset
2020 · Zouheyr Dif, Boumédiène Derras, et al. · Journal of Seismology · 6
2d/1d Aggravation Factors: From a Comprehensive Study to Estimation With a Neural Network Model
2018 · Stambouli, Ahmed, Boudghene, Bard, Pierre-Yves, et al. · HAL · 6
Artificial Intelligence for the amelioration of seismic resilience of bridges
2023 · Boumédiène Derras, Nisrine Makhoul · Report · 4
Neuronal Approach and the Use of KIK-NET Network to Generate Response Spectrum on the Surface
2016 · Boumédiène Derras, Abdelmalek Bekkouche, et al. · 4
Non-linear site response : a focus of thick sedimentary deposits. Learnings from Japanese strong motion recordings
2024 · Pierre-Yves Bard, Ziqian Wang, et al. · Japanese Geotechnical Society Special Publication · 3
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Towards site-specific ground motion estimates in Greece using a partially non-ergodic, mixed-effects, neural network approach
2025 · Fayçal Chaibeddra Tani, Boumédiène Derras, et al. · Soil Dynamics and Earthquake Engineering · 2
Impact of several site-condition proxies and ground-motion intensity measures on the spectral amplification factor using neuro-fuzzy approach: an example on the KiK-Net dataset
2025 · Mohammed Akram Ismail Zaoui, Boumédiène Derras, et al. · Natural Hazards · 2
Empirical approaches for non-linear site response: results for the ESG6-blind test
2024 · Julie Régnier, Pierre-Yves Bard, et al. · Earth Planets and Space · 2
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Prediction of recovery time of infrastructure functionalities after an earthquake using machine learning
2023 · B. Derras, N. Makhoul · CRC Press eBooks · 2
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Machine learning improving seismic infrastructure recovery time estimation
2024 · N. Makhoul, B. Derras · CRC Press eBooks · 1
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Testing the Use of Local Slope as a Proxy of Gmpe's Site Conditions
2014 · Boumédiène Derras, Pierre‐Yvesbard, et al. · HAL · 1
Data-driven ground-motion prediction and variability reduction for seismic hazard assessment in civil engineering
2026 · Mohammed Tewfik Rachedi, Boumédiène Derras · Asian Journal of Civil Engineering
Works count: 60
Citation count: 732
H-index: 10
I10-index: 10
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