Cherif Si‐Moussa

21 papers receiving 448 citations

Peers

Cherif Si‐Moussa
Comparison fields: 5 of 84
  • Catalysis 59
  • Filtration and Separation 17
  • Spectroscopy 114
  • Computational Theory and Mathematics 103
  • Biomedical Engineering 180
Replace Latifa Khaouane with:
Latifa Khaouane Algeria
Elisa Conte Italy
Othmane Benkortbi Algeria
Ben‐Guang Rong Denmark
Libero Sesti Osséo Italy
Zexin Zhao China
Vahid Zare-Shahabadi Iran
Roberta Ceriani Brazil
Sjef Cornelissen Germany
Iraj Goodarznia Iran
Cherif Si‐Moussa relative to Latifa Khaouane Algeria Latifa Khaouane's profile →
Citations per field
00.5×4.3×
Latifa Khaouane · 1×
Citations per year

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-authors

The 9 scholars most cited alongside Cherif Si‐Moussa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cherif Si‐Moussa Line = papers co-authored together Cherif Si‐Moussa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 202037
3 201636
4 200836
5 201632
6 201831
7 201930
8 201527
9 201619
10 201318
11 201218
12 202215
13 201414
14
Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil
201713
15 202013
16 201310
17 20209
18 20227
19 20236
20 20246

About Cherif Si‐Moussa

Cherif Si‐Moussa is a scholar working on Biomedical Engineering, Organic Chemistry, Catalysis, Food Science and Computational Theory and Mathematics, having authored 21 papers that have together received 455 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (9 papers), Chemical Thermodynamics and Molecular Structure (5 papers), Ionic liquids properties and applications (5 papers), Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (4 papers), Pesticide Residue Analysis and Safety (3 papers), Phytochemistry and Biological Activities (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Catalysis (59 citations), Filtration and Separation (17 citations), Spectroscopy (114 citations), Computational Theory and Mathematics (103 citations) and Biomedical Engineering (180 citations). Cherif Si‐Moussa has collaborated with scholars based in Algeria and France. Frequent co-authors include Salah Hanini, Salah Hanini, Othmane Benkortbi, Latifa Khaouane, Mabrouk Hamadache, Abdeltif Amrane, Mohamed Hentabli, Samir Abdelmalek and Mounir Bouhedda. Their work appears in journals such as International Journal of Quantum Chemistry, Comptes Rendus Chimie, Neural Computing and Applications, Chemometrics and Intelligent Laboratory Systems and Journal of Hazardous Materials.

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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