М. Беннаи

841 total citations
78 papers, 477 citations indexed

About

М. Беннаи is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, М. Беннаи has authored 78 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Astronomy and Astrophysics, 37 papers in Nuclear and High Energy Physics and 26 papers in Artificial Intelligence. Recurrent topics in М. Беннаи's work include Cosmology and Gravitation Theories (40 papers), Black Holes and Theoretical Physics (37 papers) and Galaxies: Formation, Evolution, Phenomena (26 papers). М. Беннаи is often cited by papers focused on Cosmology and Gravitation Theories (40 papers), Black Holes and Theoretical Physics (37 papers) and Galaxies: Formation, Evolution, Phenomena (26 papers). М. Беннаи collaborates with scholars based in Morocco, France and United Arab Emirates. М. Беннаи's co-authors include M. Koussour, S. H. Shekh, Nouhaila Innan, H. Chakir, Binay Panda, Alberto Marchisio, Muhammad Shafique, N. Myrzakulov, El Hassan Saidi and Y. Boughaleb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and Communications of the ACM.

In The Last Decade

М. Беннаи

73 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
М. Беннаи Morocco	11	315	262	115	55	40	78	477
Daniel Cutting Australia	8	359 1.1×	230 0.9×	11 0.1×	38 0.7×	29 0.7×	16	453
Brahim Lamine France	10	183 0.6×	100 0.4×	36 0.3×	17 0.3×	102 2.5×	20	306
Florian Preis Austria	8	178 0.6×	284 1.1×	28 0.2×	7 0.1×	72 1.8×	13	346
Mahbub Majumdar Bangladesh	6	409 1.3×	391 1.5×	14 0.1×	12 0.2×	19 0.5×	10	471
Raffaele Tito D’Agnolo United States	15	469 1.5×	714 2.7×	110 1.0×	13 0.2×	112 2.8×	27	846
Pier Francesco Monni Switzerland	24	104 0.3×	1.4k 5.3×	49 0.4×	11 0.2×	18 0.5×	44	1.4k
Yutaka Matsui Japan	10	307 1.0×	106 0.4×	31 0.3×	7 0.1×	8 0.2×	37	449
Matthew DeCross United States	5	148 0.5×	125 0.5×	36 0.3×	12 0.2×	31 0.8×	7	210
Nikitas Stamatopoulos United States	8	237 0.8×	237 0.9×	46 0.4×	7 0.1×	101 2.5×	10	410
Giuseppe Bozzi Italy	22	152 0.5×	1.4k 5.5×	54 0.5×	15 0.3×	13 0.3×	32	1.5k

Countries citing papers authored by М. Беннаи

Since Specialization

Citations

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

Fields of papers citing papers by М. Беннаи

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of М. Беннаи

This figure shows the co-authorship network connecting the top 25 collaborators of М. Беннаи. A scholar is included among the top collaborators of М. Беннаи 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 М. Беннаи. М. Беннаи is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Innan, Nouhaila, Alberto Marchisio, М. Беннаи, & Muhammad Shafique. (2025). LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. 1864–1872. 1 indexed citations

Marchisio, Alberto, et al.. (2025). Designing Robust Quantum Neural Networks via Optimized Circuit Metrics. Advanced Quantum Technologies. 8(6). 1 indexed citations

Innan, Nouhaila, М. Беннаи, Muhammad Shafique, & Moustafa Youssef. (2025). Quantum Computing Research in the Arab World. Communications of the ACM. 68(10). 62–65. 1 indexed citations

Innan, Nouhaila, Alberto Marchisio, М. Беннаи, & Muhammad Shafique. (2025). QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. 41–47. 4 indexed citations

Otalora, Giovanni, et al.. (2024). Insights into gravitinos abundance, cosmic strings and stochastic gravitational wave background. The European Physical Journal C. 84(11).

Marchisio, Alberto, et al.. (2024). AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks. 175–181. 4 indexed citations

Беннаи, М., et al.. (2024). An approach for improving parameter extraction in PV solar cell models using metaheuristic algorithms. Energy Systems.

Беннаи, М., et al.. (2024). Comprehensive modeling and simulation of photovoltaic system performance by using matlab/simulink: integrating dynamic meteorological parameters for enhanced accuracy. Journal of Umm Al-Qura University for Applied Sciences. 11(3). 633–656. 3 indexed citations

Innan, Nouhaila, et al.. (2024). FedQNN: Federated Learning using Quantum Neural Networks. 1–9. 13 indexed citations

10.

Innan, Nouhaila & М. Беннаи. (2024). A variational quantum perceptron with Grover’s algorithm for efficient classification. Physica Scripta. 99(5). 55120–55120. 5 indexed citations

11.

Беннаи, М., et al.. (2024). Parameters optimization of solar PV cell using genetic-iterative algorithm. Physica Scripta. 99(6). 65245–65245. 4 indexed citations

12.

Innan, Nouhaila, et al.. (2024). Quantum state tomography using quantum machine learning. Quantum Machine Intelligence. 6(1). 12 indexed citations

13.

Беннаи, М., et al.. (2023). Reheating Mechanism from Tree Level Potential in Standard Cosmology. International Journal of Theoretical Physics. 62(7).

14.

Koussour, M., et al.. (2023). Modeling cosmic acceleration with a generalized varying deceleration parameter. Physics of the Dark Universe. 42. 101339–101339. 9 indexed citations

15.

Беннаи, М., et al.. (2023). Constant-Roll and Primordial Black Holes in F(Q, T) Gravity. SSRN Electronic Journal. 2 indexed citations

16.

Беннаи, М., et al.. (2023). On the two-photon quantum Rabi model at the critical coupling strength. Optical and Quantum Electronics. 56(1). 2 indexed citations

17.

Innan, Nouhaila, et al.. (2023). Quantum computing for electronic structure analysis: Ground state energy and molecular properties calculations. Materials Today Communications. 38. 107760–107760. 9 indexed citations

18.

Беннаи, М., et al.. (2017). Randall–Sundrum II model from small field inflation in light of planck data and reheating temperature. Moscow University Physics Bulletin. 72(5). 425–432. 5 indexed citations

19.

Беннаи, М., et al.. (2015). Kähler potential braneworld inflation in supergravity after Planck 2015. International Journal of Modern Physics A. 30(34). 1550208–1550208. 6 indexed citations

20.

Беннаи, М., et al.. (2014). MSSM braneworld inflation. Advanced Studies in Theoretical Physics. 8. 277–283. 2 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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