Osama E. Abo-Kasem

551 total citations
31 papers, 427 citations indexed

About

Osama E. Abo-Kasem is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Osama E. Abo-Kasem has authored 31 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 20 papers in Statistics, Probability and Uncertainty and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Osama E. Abo-Kasem's work include Statistical Distribution Estimation and Applications (29 papers), Probabilistic and Robust Engineering Design (20 papers) and Statistical Methods and Bayesian Inference (12 papers). Osama E. Abo-Kasem is often cited by papers focused on Statistical Distribution Estimation and Applications (29 papers), Probabilistic and Robust Engineering Design (20 papers) and Statistical Methods and Bayesian Inference (12 papers). Osama E. Abo-Kasem collaborates with scholars based in Egypt, Saudi Arabia and India. Osama E. Abo-Kasem's co-authors include Mazen Nassar, Ayman Alzaatreh, M. E. Mead, Ahmed Elshahhat, Chunfang Zhang, S.K. Ashour, Sanku Dey, Ehab M. Almetwally, Hassan M. Aljohani and Abdulaziz S. Alghamdi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Computational and Applied Mathematics.

In The Last Decade

Osama E. Abo-Kasem

27 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Osama E. Abo-Kasem Egypt 10 392 258 96 84 41 31 427
Hanieh Panahi Iran 12 364 0.9× 261 1.0× 79 0.8× 112 1.3× 42 1.0× 33 410
Hassan M. Okasha Saudi Arabia 11 419 1.1× 294 1.1× 90 0.9× 97 1.2× 35 0.9× 38 460
Yogesh Mani Tripathi India 14 497 1.3× 348 1.3× 84 0.9× 115 1.4× 94 2.3× 34 525
Said G. Nassr Egypt 12 346 0.9× 199 0.8× 40 0.4× 95 1.1× 38 0.9× 32 365
Rashad M. EL‐Sagheer Egypt 11 334 0.9× 223 0.9× 63 0.7× 95 1.1× 43 1.0× 62 359
Han Ming China 11 355 0.9× 261 1.0× 50 0.5× 104 1.2× 47 1.1× 47 430
Essam A. Ahmed Egypt 10 290 0.7× 212 0.8× 53 0.6× 92 1.1× 47 1.1× 22 340
Najwan Alsadat Saudi Arabia 12 417 1.1× 229 0.9× 68 0.7× 56 0.7× 72 1.8× 65 456
Hisham M. Almongy Egypt 15 466 1.2× 263 1.0× 81 0.8× 96 1.1× 67 1.6× 27 508
Chunfang Zhang China 10 310 0.8× 211 0.8× 48 0.5× 106 1.3× 48 1.2× 20 336

Countries citing papers authored by Osama E. Abo-Kasem

Since Specialization
Citations

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

Fields of papers citing papers by Osama E. Abo-Kasem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Osama E. Abo-Kasem. 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 Osama E. Abo-Kasem. The network helps show where Osama E. Abo-Kasem may publish in the future.

Co-authorship network of co-authors of Osama E. Abo-Kasem

This figure shows the co-authorship network connecting the top 25 collaborators of Osama E. Abo-Kasem. A scholar is included among the top collaborators of Osama E. Abo-Kasem 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 Osama E. Abo-Kasem. Osama E. Abo-Kasem 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
2.
Abo-Kasem, Osama E., et al.. (2025). Analysis and optimum removals of unit-Weibull data from progressive first-failure censoring and its modeling in chemistry and physics. Journal of Statistical Computation and Simulation. 95(18). 3970–4002.
5.
Elshahhat, Ahmed, et al.. (2023). Statistical Evaluations and Applications for IER Parameters from Generalized Progressively Type-II Hybrid Censored Data. Axioms. 12(6). 565–565. 3 indexed citations
6.
Elshahhat, Ahmed, et al.. (2023). Survival Analysis of the PRC Model from Adaptive Progressively Hybrid Type-II Censoring and Its Engineering Applications. Mathematics. 11(14). 3124–3124. 4 indexed citations
7.
Elshahhat, Ahmed, et al.. (2023). Reliability Analysis and Applications of Generalized Type-II Progressively Hybrid Maxwell–Boltzmann Censored Data. Axioms. 12(7). 618–618. 3 indexed citations
8.
Elshahhat, Ahmed, et al.. (2023). Statistical analysis of the Gompertz-Makeham model using adaptive progressively hybrid Type-II censoring and its applications in various sciences. Journal of Radiation Research and Applied Sciences. 16(4). 100644–100644. 11 indexed citations
9.
Abo-Kasem, Osama E., et al.. (2023). Optimal sampling and statistical inferences for Kumaraswamy distribution under progressive Type-II censoring schemes. Scientific Reports. 13(1). 12063–12063. 12 indexed citations
10.
Abo-Kasem, Osama E., et al.. (2023). On Joint Type-II Generalized Progressive Hybrid Censoring Scheme. SHILAP Revista de lepidopterología. 2(1). 123–158. 11 indexed citations
11.
Abo-Kasem, Osama E., et al.. (2023). Reliability analysis of two Gompertz populations under joint progressive type-ii censoring scheme based on binomial removal. International Journal of Modelling and Simulation. 44(5). 290–310. 4 indexed citations
12.
Elshahhat, Ahmed, et al.. (2022). Reliability Inferences of the Inverted NH Parameters via Generalized Type-II Progressive Hybrid Censoring with Applications. Symmetry. 14(11). 2379–2379. 7 indexed citations
14.
Abo-Kasem, Osama E. & Ahmed Elshahhat. (2021). Analysis of two Weibull populations under joint progressively hybrid censoring. Communications in Statistics - Simulation and Computation. 52(9). 4469–4490. 8 indexed citations
15.
Almetwally, Ehab M., et al.. (2021). A New Transmuted Generalized Lomax Distribution: Properties and Applications to COVID‐19 Data. Computational Intelligence and Neuroscience. 2021(1). 5918511–5918511. 18 indexed citations
16.
Almetwally, Ehab M., et al.. (2021). Stress‐Strength Reliability for Exponentiated Inverted Weibull Distribution with Application on Breaking of Jute Fiber and Carbon Fibers. Computational Intelligence and Neuroscience. 2021(1). 4227346–4227346. 17 indexed citations
17.
Abo-Kasem, Osama E. & Mazen Nassar. (2021). Statistical Inference for Two Weibull Populations Based on Joint Progressive Type-I Censored Scheme. Journal of Data Science. 17(2). 349–362. 1 indexed citations
18.
Abo-Kasem, Osama E., et al.. (2019). Classical and Bayesian Estimation for Two Exponential Populations based on Joint Type-I Progressive Hybrid Censoring Scheme. American Journal of Mathematical and Management Sciences. 38(4). 373–385. 6 indexed citations
19.
Nassar, Mazen, Osama E. Abo-Kasem, Chunfang Zhang, & Sanku Dey. (2018). Analysis of Weibull Distribution Under Adaptive Type-II Progressive Hybrid Censoring Scheme. 19(1). 25–65. 50 indexed citations
20.
Nassar, Mazen & Osama E. Abo-Kasem. (2016). Estimation of the inverse Weibull parameters under adaptive type-II progressive hybrid censoring scheme. Journal of Computational and Applied Mathematics. 315. 228–239. 70 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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