Abdennour Seibi

1.5k total citations · 1 hit paper
92 papers, 1.2k citations indexed

About

Abdennour Seibi is a scholar working on Mechanical Engineering, Ocean Engineering and Civil and Structural Engineering. According to data from OpenAlex, Abdennour Seibi has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Mechanical Engineering, 35 papers in Ocean Engineering and 32 papers in Civil and Structural Engineering. Recurrent topics in Abdennour Seibi's work include Drilling and Well Engineering (27 papers), Hydraulic Fracturing and Reservoir Analysis (19 papers) and Oil and Gas Production Techniques (15 papers). Abdennour Seibi is often cited by papers focused on Drilling and Well Engineering (27 papers), Hydraulic Fracturing and Reservoir Analysis (19 papers) and Oil and Gas Production Techniques (15 papers). Abdennour Seibi collaborates with scholars based in United States, Oman and Australia. Abdennour Seibi's co-authors include Ali Karrech, Tasneem Pervez, Salim Al-Oraimi, Mohamed Elchalakani, S.A. Al-Hiddabi, S.M. Al-Alawi, Mohammad Shekaramiz, Mohamed A. Shahin, Khalifa Al‐Jabri and Mohammad A. S. Masoum and has published in prestigious journals such as IEEE Access, Journal of Sound and Vibration and Journal of Materials Processing Technology.

In The Last Decade

Abdennour Seibi

88 papers receiving 1.1k citations

Hit Papers

Review on the Advancements in Wind Turbine Blade Inspecti... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection
    2024 50 citations Mohammad Shekaramiz, Abdennour Seibi et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdennour Seibi United States 18 588 459 367 226 105 92 1.2k
Xiaonan Hou United Kingdom 20 589 1.0× 284 0.6× 551 1.5× 118 0.5× 89 0.8× 73 1.2k
Samir Mustapha Lebanon 24 571 1.0× 749 1.6× 795 2.2× 187 0.8× 182 1.7× 93 1.5k
Srinivas Sriramula United Kingdom 18 432 0.7× 671 1.5× 752 2.0× 88 0.4× 150 1.4× 66 1.6k
Vassilios Kappatos Greece 19 477 0.8× 242 0.5× 459 1.3× 182 0.8× 96 0.9× 84 1.1k
Hang Zhang China 21 541 0.9× 399 0.9× 288 0.8× 261 1.2× 195 1.9× 133 1.6k
Haichang Gu United States 16 268 0.5× 1.0k 2.3× 843 2.3× 165 0.7× 125 1.2× 31 1.3k
Kim Branner Denmark 20 574 1.0× 699 1.5× 779 2.1× 87 0.4× 57 0.5× 93 1.8k
Weidong Cao China 18 412 0.7× 860 1.9× 334 0.9× 169 0.7× 49 0.5× 95 1.4k
Bin Luo China 19 554 0.9× 320 0.7× 341 0.9× 127 0.6× 281 2.7× 129 1.2k
Malcolm McGugan Denmark 14 439 0.7× 401 0.9× 431 1.2× 47 0.2× 67 0.6× 37 1.1k

Countries citing papers authored by Abdennour Seibi

Since Specialization
Citations

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

Fields of papers citing papers by Abdennour Seibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdennour Seibi

This figure shows the co-authorship network connecting the top 25 collaborators of Abdennour Seibi. A scholar is included among the top collaborators of Abdennour Seibi 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 Abdennour Seibi. Abdennour Seibi 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.
Pratt, R. G., Carter Allen, Mohammad A. S. Masoum, & Abdennour Seibi. (2025). Defect Detection and Classification on Wind Turbine Blades Using Deep Learning with Fuzzy Voting. Machines. 13(4). 283–283. 1 indexed citations
2.
Shekaramiz, Mohammad, et al.. (2025). Enhanced Non-Destructive Testing of Small Wind Turbine Blades Using Infrared Thermography. Machines. 13(2). 108–108.
3.
Shekaramiz, Mohammad, et al.. (2024). Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection. IEEE Access. 12. 33236–33282. 50 indexed citations breakdown →
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Alrasheedi, Nashmi H., et al.. (2024). Automated Assessment Tool for 3D Computer-Aided Design Models. Applied Sciences. 14(11). 4578–4578. 1 indexed citations
7.
Seibi, Abdennour, et al.. (2024). Experimental Study of the Tensile Behavior of Structures Obtained by FDM 3D Printing Process. Polymers. 16(11). 1562–1562. 5 indexed citations
8.
Shekaramiz, Mohammad, et al.. (2024). Wind Turbine Blade Fault Detection via Thermal Imaging Using Deep Learning. 23–28. 6 indexed citations
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Masoum, Mohammad A. S., et al.. (2023). Hyperparameter Tuning of Support Vector Machines for Wind Turbine Detection Using Drones. 55–60. 3 indexed citations
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Seibi, Abdennour, et al.. (2020). An Integrated Genetic-Algorithm/Artificial-Neural-Network Approach for Steady-State Modeling of Two-Phase Pressure Drop in Pipes. SPE Production & Operations. 35(3). 628–640. 10 indexed citations
13.
Karrech, Ali, et al.. (2019). A review on methods for liberating lithium from pegmatities. Minerals Engineering. 145. 106085–106085. 117 indexed citations
14.
Fekih, Afef, et al.. (2018). A frequency-domain approach to improve ANNs generalization quality via proper initialization. Neural Networks. 104. 26–39. 5 indexed citations
15.
Karrech, Ali, M. Attar, Abdennour Seibi, et al.. (2018). Lattice Finite Strain Theory for Non-hydrostatically Compressed Materials. Rock Mechanics and Rock Engineering. 51(10). 3313–3319. 1 indexed citations
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Seibi, Abdennour, et al.. (2016). Simulation of Leak Noise Propagation and Detection Using COMSOL Multiphysics. 4 indexed citations
18.
Seibi, Abdennour. (2010). EXPERIMENTAL STUDY OF EXPANDED T5-6063 ALUMINUM TUBES WITH TRANSVERSE HOLES. Experimental Techniques. 35(6). 57–60. 1 indexed citations
19.
Seibi, Abdennour, et al.. (2008). Mathematical Model for Estimating Perforation Penetration Depth. Petroleum Science and Technology. 26(15). 1786–1795. 5 indexed citations
20.
Seibi, Abdennour, et al.. (1998). Pipe Bending and Running Forces in Medium to High-Curvature Wells Using Finite Element Analysis. Journal of Energy Resources Technology. 120(4). 263–267. 2 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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