Khalaf S. Sultan

897 total citations
56 papers, 593 citations indexed

About

Khalaf S. Sultan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Khalaf S. Sultan has authored 56 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Statistics and Probability, 30 papers in Statistics, Probability and Uncertainty and 13 papers in Artificial Intelligence. Recurrent topics in Khalaf S. Sultan's work include Statistical Distribution Estimation and Applications (52 papers), Probabilistic and Robust Engineering Design (29 papers) and Bayesian Methods and Mixture Models (13 papers). Khalaf S. Sultan is often cited by papers focused on Statistical Distribution Estimation and Applications (52 papers), Probabilistic and Robust Engineering Design (29 papers) and Bayesian Methods and Mixture Models (13 papers). Khalaf S. Sultan collaborates with scholars based in Saudi Arabia, Egypt and Canada. Khalaf S. Sultan's co-authors include A. S. Al-Moisheer, Ahmed H. Abdellah, Ahmed A. Soliman, Debasis Kundu, Najwan Alsadat, N. Balakrishnan, M.A.W. Mahmoud, Walid Emam, Abdulhamid A. Alzaid and Essam K. AL-Hussaini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Computational Statistics & Data Analysis.

In The Last Decade

Khalaf S. Sultan

50 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalaf S. Sultan Saudi Arabia 13 524 332 128 108 92 56 593
Magne V. Aarset Norway 3 574 1.1× 431 1.3× 55 0.4× 107 1.0× 165 1.8× 4 621
Bander Al-Zahrani Saudi Arabia 13 527 1.0× 300 0.9× 68 0.5× 103 1.0× 102 1.1× 44 564
Hare Krishna India 16 808 1.5× 525 1.6× 104 0.8× 144 1.3× 177 1.9× 37 900
Çoşkun Kuş Türkiye 10 558 1.1× 381 1.1× 68 0.5× 111 1.0× 161 1.8× 37 612
Giovana O. Silva Brazil 10 602 1.1× 389 1.2× 55 0.4× 136 1.3× 121 1.3× 17 643
Hiba Z. Muhammed Egypt 12 372 0.7× 205 0.6× 46 0.4× 101 0.9× 54 0.6× 37 408
Rodrigo B. Silva Brazil 12 775 1.5× 467 1.4× 74 0.6× 250 2.3× 102 1.1× 19 818
Ahmad Parsian Iran 15 583 1.1× 317 1.0× 94 0.7× 55 0.5× 49 0.5× 53 657
Eslam Hussam Saudi Arabia 13 426 0.8× 235 0.7× 50 0.4× 83 0.8× 51 0.6× 71 496
S.K. Upadhyay India 13 338 0.6× 204 0.6× 52 0.4× 56 0.5× 89 1.0× 52 437

Countries citing papers authored by Khalaf S. Sultan

Since Specialization
Citations

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

Fields of papers citing papers by Khalaf S. Sultan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalaf S. Sultan. 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 Khalaf S. Sultan. The network helps show where Khalaf S. Sultan may publish in the future.

Co-authorship network of co-authors of Khalaf S. Sultan

This figure shows the co-authorship network connecting the top 25 collaborators of Khalaf S. Sultan. A scholar is included among the top collaborators of Khalaf S. Sultan 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 Khalaf S. Sultan. Khalaf S. Sultan 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.
Al-Moisheer, A. S., et al.. (2025). A Fav-Jerry Distribution Under Joint Type-II Censoring: Quantifying Cross-Cultural Differences in Autism Knowledge. Mathematical and Computational Applications. 30(6). 120–120.
3.
Al-Moisheer, A. S., et al.. (2025). A Novel Adaptable Weibull Distribution and Its Applications. Axioms. 14(7). 490–490. 1 indexed citations
4.
Al-Moisheer, A. S., et al.. (2025). A New Modification of Modified Weibull Distribution for Modeling Engineering Data. Mathematics. 13(24). 3963–3963.
5.
Sultan, Khalaf S., et al.. (2023). Some Axioms and Identities of L-Moments from Logistic Distribution with Generalizations. Axioms. 12(10). 928–928. 1 indexed citations
6.
Emam, Walid & Khalaf S. Sultan. (2021). Bayesian and maximum likelihood estimations of the Dagum parameters under combined-unified hybrid censoring. Mathematical Biosciences & Engineering. 18(3). 2930–2951. 7 indexed citations
7.
Al-Moisheer, A. S., et al.. (2020). Mixture of Two One-Parameter Lindley Distributions: Properties and Estimation. Journal of Statistical Theory and Practice. 15(1). 8 indexed citations
8.
Al-Moisheer, A. S., et al.. (2017). A Mixture of Inverse Weibull and Inverse Burr Distributions: Properties, Estimation, and Fitting. Mathematical Problems in Engineering. 2017(1). 1 indexed citations
9.
Al-Moisheer, A. S. & Khalaf S. Sultan. (2014). Estimation of a Discriminant Function from a Mixture of Two Burr Type III Distributions. Communications in Statistics - Simulation and Computation. 45(10). 3760–3775. 3 indexed citations
10.
Islam, M. Ataharul, Abdulhamid A. Alzaid, Rafiqul I. Chowdhury, & Khalaf S. Sultan. (2013). A generalized bivariate Bernoulli model with covariate dependence. Journal of Applied Statistics. 40(5). 1064–1075. 6 indexed citations
11.
Sultan, Khalaf S. & A. S. Al-Moisheer. (2012). Approximate Bayes estimation of the parameters and reliability function of a mixture of two inverse Weibull distributions under Type-2 censoring. Journal of Statistical Computation and Simulation. 83(10). 1900–1914. 12 indexed citations
12.
Sultan, Khalaf S. & A. S. Al-Moisheer. (2011). Estimation of a discriminant function from a mixture of two inverse Weibull distributions. Journal of Statistical Computation and Simulation. 83(3). 405–416. 8 indexed citations
13.
Sultan, Khalaf S.. (2007). Order Statistics from the Generalized Exponential Distribution and Applications. Communication in Statistics- Theory and Methods. 36(7). 1409–1418. 15 indexed citations
14.
Sultan, Khalaf S., et al.. (2007). Reliability estimation based on general progressive censored data from theWeibull model: comparison between Bayesian and classical approaches. METRON. 239–257. 3 indexed citations
15.
Sultan, Khalaf S.. (2007). Higher Order Moments of Record Values From the Inverse Weibull Lifetime Model and Edgeworth Approximate Inference. 8(1). 1–16. 2 indexed citations
16.
Sultan, Khalaf S., et al.. (2006). Progressively censored data from the linear exponential distribution: moments and estimation. METRON. 199–215. 11 indexed citations
17.
Sultan, Khalaf S. & Ahmed H. Abdellah. (2006). Exact prediction intervals for exponential lifetime based on random sample size. International Journal of Computer Mathematics. 83(12). 867–878. 9 indexed citations
18.
Sultan, Khalaf S., et al.. (2006). Moments and Estimation From Progressively Censored Data of Half Logistic Distribution. 7(2). 187–201. 7 indexed citations
19.
Sultan, Khalaf S., et al.. (2004). Maximum likelihood estimation from record-breaking data for the generalized Pareto distribution. METRON. 377–389. 4 indexed citations
20.
AL-Hussaini, Essam K., et al.. (1997). Parametric and nonparametric estimation of P(Y < X) for finite mixtures of lognormal components. Communication in Statistics- Theory and Methods. 26(5). 1269–1289. 9 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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