Hoda Rezk

644 total citations
45 papers, 451 citations indexed

About

Hoda Rezk is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hoda Rezk has authored 45 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics and Probability, 25 papers in Statistics, Probability and Uncertainty and 16 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Hoda Rezk's work include Statistical Distribution Estimation and Applications (41 papers), Probabilistic and Robust Engineering Design (24 papers) and Reliability and Maintenance Optimization (16 papers). Hoda Rezk is often cited by papers focused on Statistical Distribution Estimation and Applications (41 papers), Probabilistic and Robust Engineering Design (24 papers) and Reliability and Maintenance Optimization (16 papers). Hoda Rezk collaborates with scholars based in Egypt, Saudi Arabia and United States. Hoda Rezk's co-authors include Refah Alotaibi, Chris Guure, Ehab M. Almetwally, Alfred Edwin Yawson, Ahmed Elshahhat, Mazen Nassar, Haitham M. Yousof, M. Masoom Ali, Abhimanyu Singh Yadav and Hafida Goual and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.

In The Last Decade

Hoda Rezk

40 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hoda Rezk Egypt 10 247 169 113 93 70 45 451
Refah Alotaibi Saudi Arabia 12 443 1.8× 324 1.9× 114 1.0× 93 1.0× 134 1.9× 90 688
Oscar Ngesa Kenya 11 137 0.6× 56 0.3× 22 0.2× 34 0.4× 12 0.2× 43 348
Jeremias Leão Brazil 14 317 1.3× 101 0.6× 4 0.0× 24 0.3× 31 0.4× 44 522
Reza Arabi Belaghi Iran 14 251 1.0× 136 0.8× 21 0.2× 7 0.1× 49 0.7× 41 431
Ahmed H. Abdellah Egypt 14 429 1.7× 306 1.8× 47 0.4× 3 0.0× 105 1.5× 40 615
David Ohlssen Switzerland 11 369 1.5× 76 0.4× 16 0.1× 55 0.6× 10 0.1× 31 628
Peirong Xu China 11 157 0.6× 30 0.2× 3 0.0× 31 0.3× 14 0.2× 36 311
Guido del Pino Chile 10 111 0.4× 28 0.2× 10 0.1× 11 0.1× 2 0.0× 16 370
Uditha Balasooriya Singapore 13 427 1.7× 316 1.9× 2 0.0× 69 0.7× 161 2.3× 37 572
Olayan Albalawi Saudi Arabia 10 97 0.4× 21 0.1× 3 0.0× 15 0.2× 3 0.0× 80 326

Countries citing papers authored by Hoda Rezk

Since Specialization
Citations

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

Fields of papers citing papers by Hoda Rezk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hoda Rezk

This figure shows the co-authorship network connecting the top 25 collaborators of Hoda Rezk. A scholar is included among the top collaborators of Hoda Rezk 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 Hoda Rezk. Hoda Rezk 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.
Elshahhat, Ahmed, Hoda Rezk, & Refah Alotaibi. (2025). The discrete Gompertz–Makeham distribution for multidisciplinary data analysis. AIMS Mathematics. 10(7). 17117–17178.
3.
Alotaibi, Refah, Hoda Rezk, & Chanseok Park. (2024). Parameter estimation of inverse Weibull distribution under competing risks based on the expectation–maximization algorithm. Quality and Reliability Engineering International. 40(7). 3795–3808. 1 indexed citations
4.
Alotaibi, Refah, Ehab M. Almetwally, & Hoda Rezk. (2023). Optimal test plan of discrete alpha power inverse Weibull distribution under censored data. SHILAP Revista de lepidopterología. 16(2). 100573–100573. 6 indexed citations
5.
Alotaibi, Refah, Ehab M. Almetwally, Indranil Ghosh, & Hoda Rezk. (2023). Statistical inference of a step-stress model with competing risks under time censoring for alpha power exponential distribution. Journal of Radiation Research and Applied Sciences. 17(1). 100771–100771. 1 indexed citations
6.
Alotaibi, Refah, Hoda Rezk, Chanseok Park, & Ahmed Elshahhat. (2023). The Discrete Exponentiated-Chen Model and Its Applications. Symmetry. 15(6). 1278–1278. 6 indexed citations
7.
Alotaibi, Refah, Hoda Rezk, & Ahmed Elshahhat. (2023). Computational Analysis for Fréchet Parameters of Life from Generalized Type-II Progressive Hybrid Censored Data with Applications in Physics and Engineering. Symmetry. 15(2). 348–348. 9 indexed citations
8.
Almetwally, Ehab M., Refah Alotaibi, & Hoda Rezk. (2023). Estimation and Prediction for Alpha-Power Weibull Distribution Based on Hybrid Censoring. Symmetry. 15(9). 1687–1687. 4 indexed citations
9.
Alotaibi, Refah, Ehab M. Almetwally, & Hoda Rezk. (2023). Reliability Analysis of Kavya Manoharan Kumaraswamy Distribution under Generalized Progressive Hybrid Data. Symmetry. 15(9). 1671–1671. 3 indexed citations
10.
Alotaibi, Refah, Mazen Nassar, Indranil Ghosh, Hoda Rezk, & Ahmed Elshahhat. (2022). Inferences of a Mixture Bivariate Alpha Power Exponential Model with Engineering Application. Axioms. 11(9). 459–459. 4 indexed citations
11.
Alotaibi, Refah, Ahmed Elshahhat, Hoda Rezk, & Mazen Nassar. (2022). Inferences for Alpha Power Exponential Distribution Using Adaptive Progressively Type-II Hybrid Censored Data with Applications. Symmetry. 14(4). 651–651. 21 indexed citations
12.
Alotaibi, Refah, Mazen Nassar, Hoda Rezk, & Ahmed Elshahhat. (2022). Inferences and Engineering Applications of Alpha Power Weibull Distribution Using Progressive Type-II Censoring. Mathematics. 10(16). 2901–2901. 22 indexed citations
14.
Alotaibi, Refah, Hassan M. Okasha, Hoda Rezk, & Mazen Nassar. (2021). A new weighted version of alpha power transformation method: properties and applications to COVID-19 and software reliability data. Physica Scripta. 96(12). 125221–125221. 9 indexed citations
15.
Alotaibi, Refah, Hoda Rezk, Sanku Dey, & Hassan M. Okasha. (2021). Bayesian estimation for Dagum distribution based on progressive type I interval censoring. PLoS ONE. 16(6). e0252556–e0252556. 6 indexed citations
16.
Al-Moisheer, A. S., et al.. (2020). Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation. Mathematical Problems in Engineering. 2020. 1–12. 5 indexed citations
17.
Rezk, Hoda. (2020). Extended Reciprocal Rayleigh Distribution: Copula, Properties and Real Data Modeling. Pakistan Journal of Statistics and Operation Research. 35–52.
18.
Alotaibi, Refah, Hoda Rezk, & Chris Guure. (2020). Bayesian frailty modeling of correlated survival data with application to under-five mortality. BMC Public Health. 20(1). 1429–1429. 8 indexed citations
20.
Yawson, Alfred Edwin, et al.. (2018). Modern contraceptive use among women of reproductive age in Ghana: analysis of the 2003–2014 Ghana Demographic and Health Surveys. BMC Women s Health. 18(1). 141–141. 74 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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