Cherif Si‐Moussa

582 total citations
21 papers, 455 citations indexed

About

Cherif Si‐Moussa is a scholar working on Biomedical Engineering, Organic Chemistry and Catalysis. According to data from OpenAlex, Cherif Si‐Moussa has authored 21 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 6 papers in Organic Chemistry and 5 papers in Catalysis. Recurrent topics in Cherif Si‐Moussa's work include Phase Equilibria and Thermodynamics (9 papers), Ionic liquids properties and applications (5 papers) and Chemical Thermodynamics and Molecular Structure (5 papers). Cherif Si‐Moussa is often cited by papers focused on Phase Equilibria and Thermodynamics (9 papers), Ionic liquids properties and applications (5 papers) and Chemical Thermodynamics and Molecular Structure (5 papers). Cherif Si‐Moussa collaborates with scholars based in Algeria and France. Cherif Si‐Moussa's co-authors include Salah Hanini, Salah Hanini, Othmane Benkortbi, Latifa Khaouane, Mabrouk Hamadache, Abdeltif Amrane, Mohamed Hentabli, Samir Abdelmalek and Mounir Bouhedda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and AIChE Journal.

In The Last Decade

Cherif Si‐Moussa

21 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cherif Si‐Moussa Algeria 14 180 114 103 76 59 21 455
Latifa Khaouane Algeria 10 114 0.6× 66 0.6× 109 1.1× 48 0.6× 14 0.2× 26 378
Elisa Conte Italy 15 117 0.7× 66 0.6× 80 0.8× 93 1.2× 15 0.3× 25 668
Othmane Benkortbi Algeria 13 85 0.5× 44 0.4× 113 1.1× 57 0.8× 19 0.3× 29 449
Vahid Zare-Shahabadi Iran 16 76 0.4× 99 0.9× 137 1.3× 101 1.3× 8 0.1× 34 611
Libero Sesti Osséo Italy 12 356 2.0× 141 1.2× 9 0.1× 65 0.9× 45 0.8× 20 594
Samyar Zabihi Iran 16 631 3.5× 318 2.8× 76 0.7× 203 2.7× 53 0.9× 26 746
Suhairi A. Sata Malaysia 11 113 0.6× 37 0.3× 15 0.1× 117 1.5× 9 0.2× 31 560
Larissa P. Cunico Sweden 12 167 0.9× 71 0.6× 6 0.1× 62 0.8× 50 0.8× 16 335
Gheorghe Maria Romania 16 126 0.7× 34 0.3× 25 0.2× 80 1.1× 94 1.6× 86 775
Adil Mouahid France 12 309 1.7× 57 0.5× 5 0.0× 53 0.7× 55 0.9× 24 528

Countries citing papers authored by Cherif Si‐Moussa

Since Specialization
Citations

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

Fields of papers citing papers by Cherif Si‐Moussa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cherif Si‐Moussa. 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 Cherif Si‐Moussa. The network helps show where Cherif Si‐Moussa may publish in the future.

Co-authorship network of co-authors of Cherif Si‐Moussa

This figure shows the co-authorship network connecting the top 25 collaborators of Cherif Si‐Moussa. A scholar is included among the top collaborators of Cherif Si‐Moussa 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 Cherif Si‐Moussa. Cherif Si‐Moussa 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.
Si‐Moussa, Cherif, et al.. (2024). Quantitative structure‐property relationshiptechniques for predicting carbon dioxide solubility in ionic liquids using machine learning methods. International Journal of Quantum Chemistry. 124(15). 6 indexed citations
2.
Si‐Moussa, Cherif, et al.. (2024). Contributions to the development of prediction models for the toxicity of ionic liquids. Structural Chemistry. 36(3). 865–886. 2 indexed citations
3.
4.
Si‐Moussa, Cherif, et al.. (2022). QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide. Molecular Informatics. 41(10). e2200026–e2200026. 15 indexed citations
5.
Si‐Moussa, Cherif, et al.. (2022). Machine learning approach for the prediction of surface tension of binary mixtures containing ionic liquids using σ‐profile descriptors. International Journal of Quantum Chemistry. 123(3). 7 indexed citations
6.
Si‐Moussa, Cherif, et al.. (2020). Dragonfly-Support Vector Machine for Regression Modeling of the Activity Coefficient at Infinite Dilution of Solutes in Imidazolium Ionic Liquids Using σ-Profile Descriptors. Journal of Chemical & Engineering Data. 65(6). 3161–3172. 37 indexed citations
7.
Hamadache, Mabrouk, et al.. (2020). Artificial Neural Network Models for Prediction of Density and Kinematic Viscosity of Different Systems of Biofuels and Their Blends with Diesel Fuel. Comparative Analysis. SHILAP Revista de lepidopterología. 69(7-8). 355–364. 9 indexed citations
8.
Si‐Moussa, Cherif, et al.. (2020). CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA. Chemical Industry and Chemical Engineering Quarterly. 27(3). 299–312. 13 indexed citations
9.
Si‐Moussa, Cherif, et al.. (2019). Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines. Neural Computing and Applications. 32(12). 8635–8653. 30 indexed citations
10.
Si‐Moussa, Cherif, et al.. (2018). Semi-empirical correlation of solid solute solubility in supercritical carbon dioxide: Comparative study and proposition of a novel density-based model. Comptes Rendus Chimie. 21(5). 494–513. 31 indexed citations
11.
Hanini, Salah, et al.. (2017). Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil. Journal of Agricultural Science and Technology. 19(2). 307–322. 13 indexed citations
12.
Si‐Moussa, Cherif, et al.. (2016). Novel density-based model for the correlation of solid drugs solubility in supercritical carbon dioxide. Comptes Rendus Chimie. 20(5). 559–572. 36 indexed citations
13.
Hamadache, Mabrouk, Salah Hanini, Othmane Benkortbi, et al.. (2016). Artificial neural network-based equation to predict the toxicity of herbicides on rats. Chemometrics and Intelligent Laboratory Systems. 154. 7–15. 32 indexed citations
14.
Hanini, Salah, et al.. (2016). Modeling and Optimization of the Operating Conditions ofMarrubium vulgareL. Essential Oil Extraction Process: Kinetic Parameters Estimation through Genetic Algorithms. Journal of Essential Oil Bearing Plants. 19(4). 843–853. 19 indexed citations
15.
Hamadache, Mabrouk, Othmane Benkortbi, Salah Hanini, et al.. (2015). A Quantitative Structure Activity Relationship for acute oral toxicity of pesticides on rats: Validation, domain of application and prediction. Journal of Hazardous Materials. 303. 28–40. 76 indexed citations
16.
17.
Hamadache, Mabrouk, Latifa Khaouane, Othmane Benkortbi, et al.. (2014). Prediction of Acute Herbicide Toxicity in Rats from Quantitative Structure–Activity Relationship Modeling. Environmental Engineering Science. 31(5). 243–252. 14 indexed citations
18.
Si‐Moussa, Cherif, et al.. (2013). Application of PC-SAFT and cubic equations of state for the correlation of solubility of some pharmaceutical and statin drugs in SC-CO2. Chemical Industry and Chemical Engineering Quarterly. 19(3). 449–460. 18 indexed citations
19.
Khaouane, Latifa, Othmane Benkortbi, Salah Hanini, & Cherif Si‐Moussa. (2013). Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks. Brazilian Journal of Chemical Engineering. 30(1). 105–116. 10 indexed citations
20.
Si‐Moussa, Cherif, et al.. (2008). Prediciton of high-pressure vapor liquid equilibrium of six binary systems, carbon dioxide with six esters, using an artificial neural network model. Brazilian Journal of Chemical Engineering. 25(1). 183–199. 36 indexed citations

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