M. E. Ghitany

3.7k total citations · 1 hit paper
67 papers, 2.8k citations indexed

About

M. E. Ghitany is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, M. E. Ghitany has authored 67 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Statistics and Probability, 32 papers in Statistics, Probability and Uncertainty and 20 papers in Artificial Intelligence. Recurrent topics in M. E. Ghitany's work include Statistical Distribution Estimation and Applications (60 papers), Probabilistic and Robust Engineering Design (31 papers) and Bayesian Methods and Mixture Models (19 papers). M. E. Ghitany is often cited by papers focused on Statistical Distribution Estimation and Applications (60 papers), Probabilistic and Robust Engineering Design (31 papers) and Bayesian Methods and Mixture Models (19 papers). M. E. Ghitany collaborates with scholars based in Kuwait, United States and Canada. M. E. Ghitany's co-authors include D. K. Al-Mutairi, Saralees Nadarajah, N. Balakrishnan, Fatemah Alqallaf, Josmar Mazucheli, Debasis Kundu, Fahimah Al-Awadhi, Essam K. AL-Hussaini, André F. B. Menezes and Ross Maller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Applied Mathematics and Computation.

In The Last Decade

M. E. Ghitany

63 papers receiving 2.6k citations

Hit Papers

Lindley distribution and its application 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. E. Ghitany Kuwait 25 2.6k 1.6k 541 489 407 67 2.8k
Ehab M. Almetwally Egypt 26 2.2k 0.8× 1.2k 0.7× 375 0.7× 448 0.9× 256 0.6× 222 2.4k
Artur J. Lemonte Brazil 27 2.0k 0.8× 1.0k 0.6× 340 0.6× 346 0.7× 283 0.7× 114 2.2k
Ahmed Z. Afify Egypt 33 2.6k 1.0× 1.5k 0.9× 381 0.7× 635 1.3× 269 0.7× 148 2.8k
Mohammed Elgarhy Saudi Arabia 30 2.6k 1.0× 1.6k 1.0× 282 0.5× 647 1.3× 226 0.6× 244 3.0k
Morad Alizadeh Iran 31 2.8k 1.1× 1.7k 1.0× 307 0.6× 750 1.5× 257 0.6× 142 3.0k
C. D. Lai New Zealand 21 1.4k 0.6× 1.1k 0.7× 547 1.0× 270 0.6× 261 0.6× 77 2.4k
Sanku Dey India 28 2.1k 0.8× 1.5k 0.9× 503 0.9× 360 0.7× 164 0.4× 130 2.4k
Erhard Cramer Germany 25 2.5k 1.0× 1.7k 1.1× 531 1.0× 483 1.0× 157 0.4× 116 2.6k
G. G. Hamedani United States 31 2.7k 1.0× 1.4k 0.9× 274 0.5× 585 1.2× 338 0.8× 237 3.0k
Udo Kamps Germany 23 2.2k 0.8× 1.6k 1.0× 490 0.9× 381 0.8× 221 0.5× 112 2.4k

Countries citing papers authored by M. E. Ghitany

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Ghitany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Ghitany. 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 M. E. Ghitany. The network helps show where M. E. Ghitany may publish in the future.

Co-authorship network of co-authors of M. E. Ghitany

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. Ghitany. A scholar is included among the top collaborators of M. E. Ghitany 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 M. E. Ghitany. M. E. Ghitany 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.
Ghitany, M. E., et al.. (2023). Double Inverse-Gaussian Distributions and Associated Inference. PubMed. 24(2). 151–182. 1 indexed citations
2.
Ghitany, M. E., et al.. (2023). A Bimodal Extension of the Log-Normal Distribution on the Real Line with an Application to DNA Microarray Data. Mathematics. 11(15). 3360–3360. 1 indexed citations
3.
Ghitany, M. E., et al.. (2017). Some Characterization Results by Conditional Expectations and their Applications to Lindley-type Distributions. International Journal of Statistics and Probability. 7(1). 86–86.
4.
Gómez–Déniz, Emilio, M. E. Ghitany, & Ramesh C. Gupta. (2016). A bivariate generalized geometric distribution with applications. Communication in Statistics- Theory and Methods. 46(11). 5453–5465. 9 indexed citations
5.
Ghitany, M. E., et al.. (2016). Proportional Hazard Inverse Weibull Distribution and Associated Inference. Journal of Mathematics and Statistics. 12(2). 86–98.
6.
Ghitany, M. E., et al.. (2013). Estimation of the Reliability of a Stress-Strength System from Power Lindley Distributions. Communications in Statistics - Simulation and Computation. 44(1). 118–136. 85 indexed citations
7.
Al-Mutairi, D. K., M. E. Ghitany, & Debasis Kundu. (2013). Inferences on Stress-Strength Reliability from Lindley Distributions. Communication in Statistics- Theory and Methods. 42(8). 1443–1463. 137 indexed citations
8.
Gupta, Ramesh C., M. E. Ghitany, & D. K. Al-Mutairi. (2012). Estimation of reliability from a bivariate log-normal data. Journal of Statistical Computation and Simulation. 83(6). 1068–1081. 15 indexed citations
9.
Ghitany, M. E., et al.. (2011). On the existence and uniqueness of the MLEs of the parameters of a general class of exponentiated distributions. Statistics. 47(3). 605–612. 32 indexed citations
10.
Gupta, Ramesh C., M. E. Ghitany, & D. K. Al-Mutairi. (2009). Estimation of reliability from Marshall–Olkin extended Lomax distributions. Journal of Statistical Computation and Simulation. 80(8). 937–947. 46 indexed citations
11.
Ghitany, M. E. & D. K. Al-Mutairi. (2008). Size-biased Poisson-Lindley distribution and its application. METRON. 299–311. 31 indexed citations
12.
Ghitany, M. E., D. K. Al-Mutairi, & Saralees Nadarajah. (2008). Zero-truncated Poisson–Lindley distribution and its application. Mathematics and Computers in Simulation. 79(3). 279–287. 97 indexed citations
13.
Ghitany, M. E., et al.. (2007). Marshall–Olkin Extended Lomax Distribution and Its Application to Censored Data. Communication in Statistics- Theory and Methods. 36(10). 1855–1866. 168 indexed citations
14.
AL-Hussaini, Essam K. & M. E. Ghitany. (2005). On certain countable mixtures of absolutely continuous distributions. METRON. 39–53. 9 indexed citations
15.
Ghitany, M. E.. (2004). The monotonicity of the reliabilitymeasures of the beta distribution. Applied Mathematics Letters. 17(11). 1277–1283. 19 indexed citations
16.
Ghitany, M. E., et al.. (2002). On hypergeometric generalized negative binomial distribution. International Journal of Mathematics and Mathematical Sciences. 29(12). 727–736. 12 indexed citations
17.
Ghitany, M. E.. (1998). On a recent generalization of gamma distribution. Communication in Statistics- Theory and Methods. 27(1). 223–233. 24 indexed citations
18.
Ghitany, M. E., Ross Maller, & Sean X. Zhou. (1995). Estimating the proportion of immunes in censored samples: A simulation study. Statistics in Medicine. 14(1). 39–49. 24 indexed citations
19.
Ghitany, M. E., Ross Maller, & Sean X. Zhou. (1994). Exponential Mixture Models with Long-Term Survivors and Covariates. Journal of Multivariate Analysis. 49(2). 218–241. 58 indexed citations
20.
Ghitany, M. E.. (1990). Estimation of the scale parameter of gamma model in presence of outlier observations. International Journal of Mathematics and Mathematical Sciences. 13(1). 121–127. 1 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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