Hocine Ouaer

601 total citations
18 papers, 513 citations indexed

About

Hocine Ouaer is a scholar working on Civil and Structural Engineering, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Hocine Ouaer has authored 18 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 7 papers in Ocean Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Hocine Ouaer's work include Drilling and Well Engineering (6 papers), Grouting, Rheology, and Soil Mechanics (4 papers) and Rock Mechanics and Modeling (3 papers). Hocine Ouaer is often cited by papers focused on Drilling and Well Engineering (6 papers), Grouting, Rheology, and Soil Mechanics (4 papers) and Rock Mechanics and Modeling (3 papers). Hocine Ouaer collaborates with scholars based in Algeria, France and Vietnam. Hocine Ouaer's co-authors include Menad Nait Amar, Mohammed Abdelfetah Ghriga, Mohamed El Amine Ben Seghier, Mahdi Hasanipanah, Ahmed Salih Mohammed, Pål Østebø Andersen, Xiaoling Chen, Mingxiang Cai, Chuanhua Xu and Xiliang Zhang and has published in prestigious journals such as The Journal of Physical Chemistry B, The Journal of Physical Chemistry and Fuel.

In The Last Decade

Hocine Ouaer

17 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hocine Ouaer Algeria 13 184 161 126 108 75 18 513
Yongsheng Liu China 14 140 0.8× 177 1.1× 219 1.7× 149 1.4× 41 0.5× 97 714
Lili Yan China 8 96 0.5× 156 1.0× 109 0.9× 104 1.0× 23 0.3× 29 346
Tianlong Wang China 13 199 1.1× 115 0.7× 165 1.3× 197 1.8× 69 0.9× 40 587
Dong Xu China 11 121 0.7× 60 0.4× 61 0.5× 138 1.3× 30 0.4× 67 479
Mohammad Nikookar Iran 18 213 1.2× 155 1.0× 323 2.6× 272 2.5× 192 2.6× 54 862
Guojun Yu China 16 69 0.4× 255 1.6× 125 1.0× 79 0.7× 126 1.7× 65 788
Zihua Zhang China 17 360 2.0× 96 0.6× 45 0.4× 316 2.9× 37 0.5× 58 797
D. Rashtchian Iran 13 53 0.3× 164 1.0× 303 2.4× 232 2.1× 51 0.7× 38 1.0k

Countries citing papers authored by Hocine Ouaer

Since Specialization
Citations

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

Fields of papers citing papers by Hocine Ouaer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hocine Ouaer

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

All Works

18 of 18 papers shown
1.
Seghier, Mohamed El Amine Ben, Osama Ahmed Mohamed, & Hocine Ouaer. (2024). Machine learning-based Shapley additive explanations approach for corroded pipeline failure mode identification. Structures. 65. 106653–106653. 11 indexed citations
2.
3.
Hasanipanah, Mahdi, Mehdi Jamei, Ahmed Salih Mohammed, et al.. (2022). Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models. Earth Science Informatics. 15(3). 1659–1669. 41 indexed citations
4.
Amar, Menad Nait, Hocine Ouaer, & Mohammed Abdelfetah Ghriga. (2021). Robust smart schemes for modeling carbon dioxide uptake in metal − organic frameworks. Fuel. 311. 122545–122545. 37 indexed citations
5.
Amar, Menad Nait, Mohammed Abdelfetah Ghriga, & Hocine Ouaer. (2021). On the evaluation of solubility of hydrogen sulfide in ionic liquids using advanced committee machine intelligent systems. Journal of the Taiwan Institute of Chemical Engineers. 118. 159–168. 52 indexed citations
6.
Amar, Menad Nait, Mohammed Abdelfetah Ghriga, Mohamed El Amine Ben Seghier, & Hocine Ouaer. (2021). Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming. Journal of the Taiwan Institute of Chemical Engineers. 128. 156–168. 20 indexed citations
7.
Cai, Mingxiang, Hocine Ouaer, Ahmed Salih Mohammed, et al.. (2021). Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential. Engineering With Computers. 38(4). 3611–3623. 63 indexed citations
8.
Seghier, Mohamed El Amine Ben, Hocine Ouaer, Mohammed Abdelfetah Ghriga, Nait Amar Menad, & Duc‐Kien Thai. (2020). Hybrid soft computational approaches for modeling the maximum ultimate bond strength between the corroded steel reinforcement and surrounding concrete. Neural Computing and Applications. 33(12). 6905–6920. 46 indexed citations
9.
Amar, Menad Nait, Mohammed Abdelfetah Ghriga, Mohamed El Amine Ben Seghier, & Hocine Ouaer. (2020). Prediction of Lattice Constant of A₂XY₆ Cubic Crystals Using Gene Expression Programming. The Journal of Physical Chemistry. 2 indexed citations
10.
Amar, Menad Nait, Mohammed Abdelfetah Ghriga, Hocine Ouaer, et al.. (2020). Modeling viscosity of CO2 at high temperature and pressure conditions. Journal of Natural Gas Science and Engineering. 77. 103271–103271. 44 indexed citations
11.
Peng, Kang, et al.. (2020). Automated design of a new integrated intelligent computing paradigm for constructing a constitutive model applicable to predicting rock fractures. Engineering With Computers. 38(S1). 667–678. 16 indexed citations
12.
Amar, Menad Nait, Mohammed Abdelfetah Ghriga, Mohamed El Amine Ben Seghier, & Hocine Ouaer. (2020). Prediction of Lattice Constant of A2XY6 Cubic Crystals Using Gene Expression Programming. The Journal of Physical Chemistry B. 124(28). 6037–6045. 33 indexed citations
13.
Xu, Chuanhua, Menad Nait Amar, Mohammed Abdelfetah Ghriga, et al.. (2020). Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock. Engineering With Computers. 38(2). 1819–1833. 62 indexed citations
14.
Ouaer, Hocine, Menad Nait Amar, Mohamed El Amine Ben Seghier, et al.. (2019). Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids. Applied Sciences. 10(1). 304–304. 34 indexed citations
15.
Ouaer, Hocine, et al.. (2019). Hydroxyethyl cellulose as a rheology modifier for water-based drilling fluids formulated with Algerian bentonite. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 41(3). 13 indexed citations
16.
Ouaer, Hocine, et al.. (2018). The rheological behaviour of a water-soluble polymer (HEC) used in drilling fluids. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 40(8). 29 indexed citations
17.
Ouaer, Hocine, et al.. (2018). Rheological study of concentrated dispersions. Application to the drilling fluid.. Journal of Physics Conference Series. 1045. 12033–12033. 1 indexed citations
18.

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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