Noura Yousfi

2.3k total citations
94 papers, 1.7k citations indexed

About

Noura Yousfi is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Noura Yousfi has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Public Health, Environmental and Occupational Health, 62 papers in Modeling and Simulation and 30 papers in Genetics. Recurrent topics in Noura Yousfi's work include Mathematical and Theoretical Epidemiology and Ecology Models (74 papers), Fractional Differential Equations Solutions (36 papers) and Evolution and Genetic Dynamics (30 papers). Noura Yousfi is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (74 papers), Fractional Differential Equations Solutions (36 papers) and Evolution and Genetic Dynamics (30 papers). Noura Yousfi collaborates with scholars based in Morocco, Portugal and France. Noura Yousfi's co-authors include Khalid Hattaf, Abdessamad Tridane, Abid Ali Lashari, Delfim F. M. Torres, Mostafa Rachik, Mohamed Ichou, A. Mohsen, M. Pitchaimani, Cristiana J. Silva and Jan Kašpar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Indicators and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Noura Yousfi

87 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noura Yousfi Morocco 24 1.4k 1.2k 683 191 150 94 1.7k
Khalid Hattaf Morocco 30 1.9k 1.4× 1.6k 1.4× 890 1.3× 255 1.3× 219 1.5× 122 2.5k
Andrei Korobeinikov Spain 21 2.3k 1.7× 1.7k 1.5× 1.5k 2.3× 163 0.9× 84 0.6× 74 2.9k
Yicang Zhou China 22 1.4k 1.0× 1.1k 1.0× 823 1.2× 222 1.2× 38 0.3× 66 1.9k
Wanbiao Ma China 26 2.4k 1.7× 1.6k 1.3× 1.5k 2.2× 89 0.5× 168 1.1× 131 2.9k
Rui Xu China 25 1.5k 1.1× 946 0.8× 1.0k 1.5× 84 0.4× 132 0.9× 105 1.8k
Xueyong Zhou China 23 989 0.7× 687 0.6× 563 0.8× 97 0.5× 54 0.4× 65 1.3k
Gang Huang China 17 1.1k 0.8× 819 0.7× 747 1.1× 61 0.3× 55 0.4× 45 1.3k
C. Connell McCluskey Canada 22 2.0k 1.4× 1.7k 1.4× 1.3k 2.0× 124 0.6× 50 0.3× 35 2.3k
Hisashi Inaba Japan 20 886 0.6× 752 0.6× 437 0.6× 189 1.0× 71 0.5× 67 1.5k
Toshikazu Kuniya Japan 25 1.4k 1.0× 1.4k 1.2× 811 1.2× 118 0.6× 66 0.4× 85 1.9k

Countries citing papers authored by Noura Yousfi

Since Specialization
Citations

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

Fields of papers citing papers by Noura Yousfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noura Yousfi

This figure shows the co-authorship network connecting the top 25 collaborators of Noura Yousfi. A scholar is included among the top collaborators of Noura Yousfi 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 Noura Yousfi. Noura Yousfi 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.
Tahri, Meryem, et al.. (2025). An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach. Systems Biology in Reproductive Medicine. 71(1). 13–28. 2 indexed citations
2.
Tahri, Meryem, Jan Kašpar, Roman Berčák, et al.. (2024). New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire vulnerability map. Engineering Applications of Artificial Intelligence. 138. 109399–109399. 2 indexed citations
3.
Hattaf, Khalid, et al.. (2024). Dynamics of enzyme kinetic model under the new generalized Hattaf fractional derivative. Mathematical Modeling and Computing. 11(2). 463–469. 1 indexed citations
4.
Yousfi, Noura, et al.. (2024). Dynamics of an epidemic model for COVID-19 with Hattaf fractal-fractional operator and study of existence of solutions by means of fixed point theory. Journal of Mathematics and Computer Science. 36(4). 371–385. 4 indexed citations
5.
Hattaf, Khalid, et al.. (2024). Dynamics of an ecological prey–predator model based on the generalized Hattaf fractional derivative. Mathematical Modeling and Computing. 11(1). 166–177.
7.
Hattaf, Khalid, et al.. (2024). Mathematical analysis of a spatiotemporal dynamics of a delayed IS-LM model in economics. Mathematical Modeling and Computing. 11(1). 189–202.
8.
Lotfi, El Mostapha, et al.. (2023). Stability analysis and Hopf bifurcation of a delayed prey–predator model with Hattaf–Yousfi functional response and Allee effect. Mathematical Modeling and Computing. 10(3). 668–673. 3 indexed citations
9.
Yousfi, Noura, et al.. (2020). Dynamics of a Stochastic SIRS Epidemic Model with Regime Switching and Specific Functional Response. Discrete Dynamics in Nature and Society. 2020. 1–13. 10 indexed citations
10.
Ichou, Mohamed, et al.. (2020). Spatiotemporal dynamics of a fractional model for hepatitis B virus infection with cellular immunity. Mathematical Modelling of Natural Phenomena. 16. 5–5. 8 indexed citations
11.
Hattaf, Khalid, A. M. Ełaiw, Abid Ali Lashari, & Noura Yousfi. (2018). Mathematical Modeling in Virology by Differential Equations. International Journal of Differential Equations. 2018. 1–2. 1 indexed citations
12.
Hattaf, Khalid, et al.. (2016). Dynamics of a delayed business cycle model with general investment function. Chaos Solitons & Fractals. 85. 110–119. 15 indexed citations
13.
Hattaf, Khalid & Noura Yousfi. (2016). A numerical method for delayed partial differential equations describing infectious diseases. Computers & Mathematics with Applications. 72(11). 2741–2750. 29 indexed citations
14.
Hattaf, Khalid, et al.. (2014). A DELAYED SIR EPIDEMIC MODEL WITH GENERAL INCIDENCE RATE.
15.
Hattaf, Khalid, et al.. (2014). Modeling the Adaptive Immune Response in HIV Infection Using a Cellular Automata. 4 indexed citations
16.
Hattaf, Khalid, Noura Yousfi, & Abdessamad Tridane. (2013). A Delay Virus Dynamics Model with General Incidence Rate. Differential Equations and Dynamical Systems. 22(2). 181–190. 24 indexed citations
17.
Hattaf, Khalid, et al.. (2013). Modeling the Therapy of HIV Infection with CTL Response and Cure Rate. International journal of ecological economics and statistics. 28(1). 1–17. 4 indexed citations
18.
Yousfi, Noura, Khalid Hattaf, & Abdessamad Tridane. (2011). Modeling the adaptive immune response in HBV infection. Journal of Mathematical Biology. 63(5). 933–957. 84 indexed citations
19.
Hattaf, Khalid, et al.. (2009). Optimal Control of Tuberculosis with Exogenous Reinfection. Gerontology. 42(2). 114–20. 43 indexed citations
20.
Hattaf, Khalid, et al.. (2009). Optimal Control of Treatment in a Basic Virus Infection Model. 26 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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