Faten Fayala

760 total citations
37 papers, 575 citations indexed

About

Faten Fayala is a scholar working on Polymers and Plastics, Building and Construction and Industrial and Manufacturing Engineering. According to data from OpenAlex, Faten Fayala has authored 37 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Polymers and Plastics, 14 papers in Building and Construction and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Faten Fayala's work include Textile materials and evaluations (35 papers), Dyeing and Modifying Textile Fibers (13 papers) and Industrial Vision Systems and Defect Detection (10 papers). Faten Fayala is often cited by papers focused on Textile materials and evaluations (35 papers), Dyeing and Modifying Textile Fibers (13 papers) and Industrial Vision Systems and Defect Detection (10 papers). Faten Fayala collaborates with scholars based in Tunisia, France and Saudi Arabia. Faten Fayala's co-authors include Sofien Benltoufa, Sassi Ben Nasrallah, Wafa Miled, Abdelmajid Jemni, Adel Ghith, Mohamed Hamdaouı, Rihab Ben Slama, Morched Cheikhrouhou, Xianyi Zeng and Hande Sezgin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbohydrate Polymers and Journal of Applied Polymer Science.

In The Last Decade

Faten Fayala

36 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faten Fayala Tunisia 13 337 171 97 95 78 37 575
Małgorzata Matusiak Poland 16 430 1.3× 117 0.7× 86 0.9× 84 0.9× 68 0.9× 69 664
Cevza Candan Türkiye 15 517 1.5× 260 1.5× 166 1.7× 64 0.7× 97 1.2× 52 788
Polona Dobnik Dubrovski Slovenia 12 256 0.8× 126 0.7× 105 1.1× 84 0.9× 62 0.8× 24 520
Nіlgün Özdіl Türkiye 14 639 1.9× 287 1.7× 73 0.8× 55 0.6× 141 1.8× 44 743
Nuray Uçar Türkiye 16 529 1.6× 119 0.7× 198 2.0× 206 2.2× 130 1.7× 61 844
Changsang Yun South Korea 12 261 0.8× 96 0.6× 99 1.0× 34 0.4× 41 0.5× 43 434
Muhammad Maqsood Pakistan 15 385 1.1× 66 0.4× 114 1.2× 158 1.7× 80 1.0× 48 657
Snežana Stanković Serbia 9 277 0.8× 160 0.9× 63 0.6× 64 0.7× 42 0.5× 23 422
A.P.S. Sawhney United States 15 509 1.5× 187 1.1× 127 1.3× 129 1.4× 131 1.7× 33 764
Yusuf Ulcay Türkiye 15 266 0.8× 55 0.3× 107 1.1× 78 0.8× 81 1.0× 44 525

Countries citing papers authored by Faten Fayala

Since Specialization
Citations

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

Fields of papers citing papers by Faten Fayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faten Fayala

This figure shows the co-authorship network connecting the top 25 collaborators of Faten Fayala. A scholar is included among the top collaborators of Faten Fayala 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 Faten Fayala. Faten Fayala 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.
Benltoufa, Sofien, et al.. (2023). Investigating the Wear Comfort Properties of Knitted Fabrics Made with a Novel Biodegradable Polyester Yarn. Fibers and Polymers. 24(1). 321–328. 2 indexed citations
2.
Benltoufa, Sofien, et al.. (2023). Water vapour resistance modelling of basic weaving structure. Journal of the Textile Institute. 115(12). 2456–2468. 1 indexed citations
3.
Jabli, Mahjoub, et al.. (2021). An Insight into the Diffusion of Direct Dyes into Cellulosic Materials: Effect of Fabric Characteristics, Dye Structure, and Bath Composition. Journal of Natural Fibers. 19(13). 5271–5281. 7 indexed citations
4.
Benltoufa, Sofien, et al.. (2021). The effect of fabric’s structure on the breathability and the drying rate Properties. SHILAP Revista de lepidopterología. 2(1). 61–69. 1 indexed citations
5.
Ghith, Adel, İpek Yalçın-Eniş, Hande Sezgin, et al.. (2020). Enhancement of fiber-matrix interface of recycled cotton fibers reinforced epoxy composite for improved mechanical properties. Materials Research Express. 7(1). 15340–15340. 28 indexed citations
6.
Benltoufa, Sofien, et al.. (2019). Chitosan hydrogel‐coated cellulosic fabric for medical end-use: Antibacterial properties, basic mechanical and comfort properties. Carbohydrate Polymers. 227. 115352–115352. 77 indexed citations
7.
Miled, Wafa, et al.. (2018). Chitosan hydrogel‐coated cotton fabric: Antibacterial, pH‐responsiveness, and physical properties. Journal of Applied Polymer Science. 135(34). 41 indexed citations
8.
Benltoufa, Sofien, et al.. (2018). Thermo-physiological properties of woven structures in wet state. Industria Textila. 69(4). 298–303. 6 indexed citations
9.
Ghith, Adel, et al.. (2017). A fuzzy logic method for predicting the drape behavior. 1–5. 3 indexed citations
10.
Fayala, Faten, et al.. (2016). Investigation on air permeability of finished stretch plain knitted fabrics. I. Predicting air permeability using artificial neural networks. Fibers and Polymers. 17(12). 2105–2115. 9 indexed citations
11.
Fayala, Faten, et al.. (2016). Predicting stain repellency characteristics of knitted fabrics using fuzzy modeling and surface response methodology. Journal of the Textile Institute. 108(5). 683–691. 1 indexed citations
12.
Benltoufa, Sofien, et al.. (2015). Thermo physical characterisation of recycled textile materials used for building insulating. Journal of Building Engineering. 5. 34–40. 67 indexed citations
13.
Ghith, Adel, et al.. (2014). A principal component analysis (PCA) method for predicting the correlation between some fabric parameters and the drape. Autex Research Journal. 14(1). 22–27. 16 indexed citations
14.
Fayala, Faten, et al.. (2012). Modeling of Thermal Conductivity of Stretch Knitted Fabrics Using an Optimal Neural Networks System. Journal of Applied Sciences. 12(22). 2283–2294. 7 indexed citations
15.
Benltoufa, Sofien, Faten Fayala, & Sassi Ben Nasrallah. (2011). Determination of yarn and fiber diameters after swelling using a capillary rise method. Journal of the Textile Institute. 103(5). 517–522. 10 indexed citations
16.
Benltoufa, Sofien, et al.. (2008). Capillary Rise in Macro and Micro Pores of Jersey Knitting Structure. Journal of Engineered Fibers and Fabrics. 3(3). 38 indexed citations
17.
Fayala, Faten, et al.. (2008). Neural Network for Predicting Thermal Conductivity of Knit Materials. Journal of Engineered Fibers and Fabrics. 3(4). 19 indexed citations
18.
Fayala, Faten, Mohamed Hamdaouı, Patrick Perré, & Sassi Ben Nasrallah. (2007). Study of Liquid Distribution during Capillary Rise in Fabrics Using an Electrical Resistivity Technique: Influence of Structure and Composition. Journal of Porous Media. 11(3). 231–240. 13 indexed citations
19.
Hamdaouı, Mohamed, Faten Fayala, & Sassi Ben Nasrallah. (2006). Experimental Apparatus and Mathematical Model for Determination of Parameters of Capillary Rise in Fabrics. Journal of Porous Media. 9(4). 381–392. 15 indexed citations
20.
Zeng, Xianyi, Christian Vasseur, & Faten Fayala. (2000). Modeling microgeometric structures of porous media with a predominant axis for predicting diffusive flow in capillaries. Applied Mathematical Modelling. 24(12). 969–986. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026