Boumédiène Derras

712 total citations
19 papers, 524 citations indexed

About

Boumédiène Derras is a scholar working on Civil and Structural Engineering, Geophysics and Artificial Intelligence. According to data from OpenAlex, Boumédiène Derras has authored 19 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Civil and Structural Engineering, 13 papers in Geophysics and 2 papers in Artificial Intelligence. Recurrent topics in Boumédiène Derras's work include Seismic Performance and Analysis (15 papers), Seismic Waves and Analysis (13 papers) and Structural Health Monitoring Techniques (12 papers). Boumédiène Derras is often cited by papers focused on Seismic Performance and Analysis (15 papers), Seismic Waves and Analysis (13 papers) and Structural Health Monitoring Techniques (12 papers). Boumédiène Derras collaborates with scholars based in Algeria, France and Germany. Boumédiène Derras's co-authors include Fabrice Cotton, Pierre‐Yves Bard, Julie Régnier, Héloïse Cadet, M. Abdullah Sandıkkaya, Peter J. Stafford, Dino Bindi, Sinan Akkar, Marco Massa and Paola Traversa and has published in prestigious journals such as Bulletin of the Seismological Society of America, Engineering Geology and Natural Hazards.

In The Last Decade

Boumédiène Derras

18 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boumédiène Derras Algeria 8 442 345 63 60 28 19 524
Norm Abrahamson United States 7 709 1.6× 595 1.7× 47 0.7× 50 0.8× 12 0.4× 12 776
Emrah Yenier Türkiye 13 486 1.1× 519 1.5× 55 0.9× 21 0.3× 12 0.4× 27 613
Joseph Harmon United States 10 520 1.2× 303 0.9× 17 0.3× 35 0.6× 14 0.5× 14 560
Julie Régnier France 13 355 0.8× 340 1.0× 32 0.5× 46 0.8× 8 0.3× 23 473
Nikolaos Klimis Greece 10 359 0.8× 218 0.6× 16 0.3× 39 0.7× 17 0.6× 34 424
Nick Gregor United States 7 847 1.9× 435 1.3× 38 0.6× 42 0.7× 14 0.5× 13 913
Özkan Kale Türkiye 12 570 1.3× 371 1.1× 34 0.5× 33 0.6× 6 0.2× 27 620
Aurore Laurendeau France 12 272 0.6× 457 1.3× 52 0.8× 27 0.5× 9 0.3× 18 526
Johannes Thun Ireland 9 278 0.6× 205 0.6× 42 0.7× 27 0.5× 9 0.3× 11 423
James Kaklamanos United States 11 705 1.6× 452 1.3× 19 0.3× 54 0.9× 7 0.3× 29 778

Countries citing papers authored by Boumédiène Derras

Since Specialization
Citations

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

Fields of papers citing papers by Boumédiène Derras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boumédiène Derras

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

All Works

19 of 19 papers shown
1.
2.
Régnier, Julie, Pierre‐Yves Bard, David Castro-Cruz, Boumédiène Derras, & Étienne Bertrand. (2024). Empirical approaches for non-linear site response: results for the ESG6-blind test. Earth Planets and Space. 76(1). 2 indexed citations
3.
Bard, Pierre‐Yves, et al.. (2024). Non-linear site response : a focus of thick sedimentary deposits. Learnings from Japanese strong motion recordings. Japanese Geotechnical Society Special Publication. 10(60). 2459–2464. 1 indexed citations
4.
Derras, Boumédiène, et al.. (2024). A regionalized partially nonergodic ground-motion data driven model for low to moderate seismicity areas: using RESIF-RAP, ESM, RESORCE and NGA-West2 data. Bulletin of Earthquake Engineering. 22(4). 1677–1718. 5 indexed citations
5.
Derras, Boumédiène, et al.. (2023). Artificial Intelligence for the amelioration of seismic resilience of bridges. Report. 119. 277–284. 2 indexed citations
6.
Derras, Boumédiène, Pierre‐Yves Bard, Julie Régnier, & Héloïse Cadet. (2020). Non-linear modulation of site response: Sensitivity to various surface ground-motion intensity measures and site-condition proxies using a neural network approach. Engineering Geology. 269. 105500–105500. 25 indexed citations
7.
Derras, Boumédiène, et al.. (2020). Data-driven testing of the magnitude dependence of earthquake stress parameters using the NGA-West 2 dataset. Journal of Seismology. 24(6). 1095–1107. 5 indexed citations
8.
Derras, Boumédiène, et al.. (2017). Ground Motion Prediction Model Using Adaptive Neuro-Fuzzy Inference Systems: An Example Based on the NGA-West 2 Data. Pure and Applied Geophysics. 175(3). 1019–1034. 20 indexed citations
9.
Derras, Boumédiène, Pierre‐Yves Bard, & Fabrice Cotton. (2017). 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. Earth Planets and Space. 69(1). 64 indexed citations
10.
11.
Derras, Boumédiène, Pierre‐Yves Bard, & Fabrice Cotton. (2016). Site‐Condition Proxies, Ground Motion Variability, and Data‐Driven GMPEs: Insights from the NGA‐West2 and RESORCE Data Sets. Earthquake Spectra. 32(4). 2027–2056. 65 indexed citations
12.
Derras, Boumédiène, et al.. (2016). Neuronal Approach and the Use of KIK-NET Network to Generate Response Spectrum on the Surface. 1 indexed citations
13.
Derras, Boumédiène, Pierre‐Yves Bard, & Fabrice Cotton. (2016). Site-Conditions Proxies, Ground-Motion Variability and Data-Driven GMPEs: Insights from NGA-West 2 and RESORCE Data Sets. Publication Database GFZ (GFZ German Research Centre for Geosciences). 6 indexed citations
14.
15.
Derras, Boumédiène, Pierre‐Yves Bard, Fabrice Cotton, & Anne Lemoine. (2014). TESTING THE USE OF LOCAL SLOPE AS A PROXY OF GMPE'S SITE CONDITIONS. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
16.
Derras, Boumédiène, et al.. (2013). Towards fully data driven ground-motion prediction models for Europe. Bulletin of Earthquake Engineering. 12(1). 495–516. 129 indexed citations
17.
Douglas, John, Sinan Akkar, G. Ameri, et al.. (2013). 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. Bulletin of Earthquake Engineering. 12(1). 341–358. 65 indexed citations
18.
Derras, Boumédiène, et al.. (2012). Adapting the Neural Network Approach to PGA Prediction: An Example Based on the KiK-net Data. Bulletin of the Seismological Society of America. 102(4). 1446–1461. 97 indexed citations
19.
Derras, Boumédiène, et al.. (2011). USE OF THE ARTIFICIAL NEURAL NETWORK FOR PEAK GROUND ACCELERATION ESTIMATION. 3 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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