Menad Nait Amar

2.8k total citations
86 papers, 2.2k citations indexed

About

Menad Nait Amar is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Menad Nait Amar has authored 86 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Ocean Engineering, 34 papers in Mechanical Engineering and 20 papers in Mechanics of Materials. Recurrent topics in Menad Nait Amar's work include Enhanced Oil Recovery Techniques (23 papers), Carbon Dioxide Capture Technologies (16 papers) and Hydraulic Fracturing and Reservoir Analysis (16 papers). Menad Nait Amar is often cited by papers focused on Enhanced Oil Recovery Techniques (23 papers), Carbon Dioxide Capture Technologies (16 papers) and Hydraulic Fracturing and Reservoir Analysis (16 papers). Menad Nait Amar collaborates with scholars based in Algeria, Iran and China. Menad Nait Amar's co-authors include Ashkan Jahanbani Ghahfarokhi, Abdolhossein Hemmati‐Sarapardeh, Noureddine Zeraibi, Cuthbert Shang Wui Ng, Hocine Ouaer, Mohammed Abdelfetah Ghriga, Mahdi Hasanipanah, Mohamed El Amine Ben Seghier, Aydin Larestani and Xiaoying Zhang and has published in prestigious journals such as The Science of The Total Environment, The Journal of Physical Chemistry B and Journal of Hazardous Materials.

In The Last Decade

Menad Nait Amar

82 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menad Nait Amar Algeria 34 892 871 535 424 376 86 2.2k
Milad Arabloo Iran 36 1.1k 1.2× 1.5k 1.7× 770 1.4× 769 1.8× 241 0.6× 62 2.9k
Afshin Tatar Iran 28 972 1.1× 925 1.1× 516 1.0× 739 1.7× 163 0.4× 74 2.2k
Ali Lohi Canada 33 1.1k 1.2× 1.1k 1.3× 510 1.0× 1.4k 3.4× 169 0.4× 161 4.1k
Haizhu Wang China 29 989 1.1× 933 1.1× 652 1.2× 247 0.6× 554 1.5× 147 2.4k
Shadfar Davoodi Russia 33 1.2k 1.4× 1.4k 1.7× 740 1.4× 163 0.4× 334 0.9× 74 2.4k
Alireza Baghban Iran 38 1.3k 1.5× 598 0.7× 438 0.8× 1.5k 3.6× 342 0.9× 147 4.1k
Behzad Vaferi Iran 35 1.2k 1.3× 477 0.5× 255 0.5× 1.1k 2.6× 158 0.4× 94 2.8k
Esmail M. A. Mokheimer Saudi Arabia 30 1.4k 1.6× 317 0.4× 222 0.4× 663 1.6× 205 0.5× 149 3.5k
Hari B. Vuthaluru Australia 37 1.1k 1.2× 662 0.8× 336 0.6× 1.7k 4.0× 204 0.5× 149 3.4k
Mohammad M. Ghiasi Iran 26 671 0.8× 370 0.4× 374 0.7× 443 1.0× 225 0.6× 52 1.8k

Countries citing papers authored by Menad Nait Amar

Since Specialization
Citations

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

Fields of papers citing papers by Menad Nait Amar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Menad Nait Amar. 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 Menad Nait Amar. The network helps show where Menad Nait Amar may publish in the future.

Co-authorship network of co-authors of Menad Nait Amar

This figure shows the co-authorship network connecting the top 25 collaborators of Menad Nait Amar. A scholar is included among the top collaborators of Menad Nait Amar 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 Menad Nait Amar. Menad Nait Amar 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.
Amar, Menad Nait, et al.. (2025). A Reliable Model for Predicting Methane Solubility in Brine: Toward Effective Methane Emission Mitigation. Energy & Fuels. 39(11). 5562–5576. 4 indexed citations
2.
Amar, Menad Nait, et al.. (2025). A reliable model to predict mercury solubility in natural gas components: A robust machine learning framework and data assessment. Journal of Hazardous Materials. 493. 138396–138396. 4 indexed citations
3.
Amar, Menad Nait, et al.. (2025). Improved explainable multi-gene genetic programming correlations for predicting carbon dioxide solubility in various brines. Desalination. 610. 118917–118917. 3 indexed citations
4.
Amar, Menad Nait, et al.. (2025). An efficient super learner model for predicting wettability of the hydrogen/mineral/brine system: Implication for hydrogen geo-storage. International Journal of Hydrogen Energy. 124. 47–58. 4 indexed citations
5.
Amar, Menad Nait, et al.. (2025). Accurate prediction of water activity in ionic liquid-based aqueous ternary solutions using advanced explainable artificial intelligence frameworks. Chemical Engineering Science. 318. 122218–122218. 1 indexed citations
6.
7.
Agwu, Okorie Ekwe, et al.. (2025). Advancing hydrogen storage: Explainable machine learning models for predicting hydrogen uptake in metal-organic frameworks. Results in Engineering. 28. 107304–107304. 1 indexed citations
8.
Amar, Menad Nait, et al.. (2024). An interpretable and explainable deep learning model for predicting hydrogen solubility in diverse chemicals. Chemical Engineering Science. 304. 121048–121048. 4 indexed citations
9.
Ghahfarokhi, Ashkan Jahanbani, et al.. (2023). Proxy Model Development for the Optimization of Water Alternating CO2 Gas for Enhanced Oil Recovery. Energies. 16(8). 3337–3337. 13 indexed citations
10.
Abdi, Jafar, Menad Nait Amar, Masoud Hadipoor, et al.. (2022). Modeling of Brine/CO2/Mineral Wettability Using Gene Expression Programming (GEP): Application to Carbon Geo-Sequestration. Minerals. 12(6). 760–760. 4 indexed citations
11.
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
12.
Amar, Menad Nait, et al.. (2021). Modelling density of pure and binary mixtures of normal alkanes: Comparison of hybrid soft computing techniques, gene expression programming, and equations of state. Journal of Petroleum Science and Engineering. 208. 109737–109737. 16 indexed citations
13.
Mahdaviara, Mehdi, Aydin Larestani, Menad Nait Amar, & Abdolhossein Hemmati‐Sarapardeh. (2021). On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques. Journal of Petroleum Science and Engineering. 208. 109685–109685. 28 indexed citations
14.
Amar, Menad Nait, Aydin Larestani, Qichao Lv, Tongke Zhou, & Abdolhossein Hemmati‐Sarapardeh. (2021). Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques. Journal of Petroleum Science and Engineering. 208. 109226–109226. 52 indexed citations
15.
Riazi, M.R., et al.. (2021). Modeling the density of acid gases at extensive ranges of pressure and temperature conditions. Journal of Petroleum Science and Engineering. 207. 109063–109063. 3 indexed citations
16.
Larestani, Aydin, et al.. (2021). Predicting viscosity of CO2–N2 gaseous mixtures using advanced intelligent schemes. Journal of Petroleum Science and Engineering. 208. 109359–109359. 49 indexed citations
17.
Atashrouz, Saeid, et al.. (2020). Viscosity of Ionic Liquids: Application of the Eyring’s Theory and a Committee Machine Intelligent System. Molecules. 26(1). 156–156. 41 indexed citations
18.
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
19.
Zeraibi, Noureddine, et al.. (2019). Adaptive surrogate modeling with evolutionary algorithm for well placement optimization in fractured reservoirs. Applied Soft Computing. 80. 177–191. 24 indexed citations
20.
Amar, Menad Nait, et al.. (2018). Bottom hole pressure estimation using hybridization neural networks and grey wolves optimization. Petroleum. 4(4). 419–429. 54 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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