Hani M. Samawi

1.4k total citations
113 papers, 1.0k citations indexed

About

Hani M. Samawi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Hani M. Samawi has authored 113 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Statistics and Probability, 38 papers in Statistics, Probability and Uncertainty and 14 papers in Artificial Intelligence. Recurrent topics in Hani M. Samawi's work include Statistical Distribution Estimation and Applications (61 papers), Probabilistic and Robust Engineering Design (30 papers) and Advanced Statistical Methods and Models (30 papers). Hani M. Samawi is often cited by papers focused on Statistical Distribution Estimation and Applications (61 papers), Probabilistic and Robust Engineering Design (30 papers) and Advanced Statistical Methods and Models (30 papers). Hani M. Samawi collaborates with scholars based in United States, Jordan and Oman. Hani M. Samawi's co-authors include Mohammad Fraiwan Al‐Saleh, Walid Abu‐Dayyeh, Hassen A. Muttlak, Robert L. Vogel, Haresh Rochani, Jingjing Yin, Lili Yu, Ehsan Zamanzade, M. Mahdizadeh and Mohammad Z. Raqab and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Statistics in Medicine.

In The Last Decade

Hani M. Samawi

103 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hani M. Samawi United States	15	889	451	109	89	58	113	1.0k
Mojtaba Ganjali Iran	14	537 0.6×	154 0.3×	157 1.4×	63 0.7×	54 0.9×	121	898
Refah Alotaibi Saudi Arabia	12	443 0.5×	324 0.7×	42 0.4×	74 0.8×	43 0.7×	90	688
C. Caroni Greece	11	230 0.3×	149 0.3×	57 0.5×	73 0.8×	32 0.6×	44	396
Siu‐Keung Tse Hong Kong	14	557 0.6×	376 0.8×	38 0.3×	57 0.6×	131 2.3×	63	734
Oluwafemi Samson Balogun Finland	12	335 0.4×	196 0.4×	61 0.6×	90 1.0×	54 0.9×	111	617
Anthony F. Desmond Canada	9	376 0.4×	205 0.5×	64 0.6×	29 0.3×	42 0.7×	28	491
Ali Akbar Jafari Iran	11	409 0.5×	215 0.5×	59 0.5×	91 1.0×	51 0.9×	65	516
Mohamed S. Eliwa Egypt	21	962 1.1×	455 1.0×	175 1.6×	260 2.9×	150 2.6×	88	1.2k
Hare Krishna India	16	808 0.9×	525 1.2×	104 1.0×	144 1.6×	95 1.6×	37	900
Ahmed H. Abdellah Egypt	14	429 0.5×	306 0.7×	47 0.4×	81 0.9×	38 0.7×	40	615

Countries citing papers authored by Hani M. Samawi

Since Specialization

Citations

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

Fields of papers citing papers by Hani M. Samawi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hani M. Samawi

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

All Works

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20 of 20 papers shown

Samawi, Hani M., et al.. (2022). On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance. Journal of Applied Statistics. 50(8). 1772–1789. 1 indexed citations

Yin, Jingjing, Hani M. Samawi, & Lili Tian. (2021). Joint inference about the AUC and Youden index for paired biomarkers. Statistics in Medicine. 41(1). 37–64. 5 indexed citations

Yu, Lili, Varadan Sevilimedu, Robert L. Vogel, & Hani M. Samawi. (2020). Quasi-Likelihood Ratio Tests for Homoscedasticity in Linear Regression. Human Biology. 18(1). 2–16. 1 indexed citations

Samawi, Hani M., Jingjing Yin, Xinyan Zhang, et al.. (2020). Applications of Kullback-Leibler Information as a Measure of Diagnostic Accuracy. 9(2). 1. 1 indexed citations

Klibert, Jeffrey, et al.. (2019). The Impact of an Integrated Gratitude Intervention on Positive Affect and Coping Resources. International Journal of Applied Positive Psychology. 3(1-3). 23–41. 9 indexed citations

Samawi, Hani M., et al.. (2018). Reducing sample size needed for accelerated failure time model using more efficient sampling methods. Journal of Statistical Theory and Practice. 12(3). 530–541. 8 indexed citations

Samawi, Hani M., et al.. (2017). Notes on the overlap measure as an alternative to the Youden index: How are they related?. Statistics in Medicine. 36(26). 4230–4240. 16 indexed citations

Samawi, Hani M., Arpita Chatterjee, Jingjing Yin, & Haresh Rochani. (2016). On Kernel Density Estimation Based on Different Stratified Sampling. 2 indexed citations

Samawi, Hani M., et al.. (2011). A nonparametric test of symmetry based on the overlapping coefficient. Journal of Applied Statistics. 38(5). 885–898. 9 indexed citations

10.

Samawi, Hani M., et al.. (2008). On the matched pairs sign test using bivariate ranked set sampling: an application to environmental issues. African Journal of Environmental Science and Technology. 2(1). 1–9. 7 indexed citations

11.

Al‐Saleh, Mohammad Fraiwan & Hani M. Samawi. (2007). Interference on Overlapping Coefficients in Two Exponential Populations. Journal of Modern Applied Statistical Methods. 6(2). 503–516. 16 indexed citations

12.

Al‐Saleh, Mohammad Fraiwan & Hani M. Samawi. (2004). Estimation Using Bivariate Extreme Ranked Set Sampling With Application To The Bivariate Normal Distribution. Journal of Modern Applied Statistical Methods. 3(1). 134–142. 3 indexed citations

13.

Abu‐Dayyeh, Walid, et al.. (2002). On Distribution Function Estimation Using Double Ranked Set Samples With Application. Journal of Modern Applied Statistical Methods. 1(2). 443–451. 2 indexed citations

14.

Samawi, Hani M., et al.. (2002). Double Median Ranked Set Sample: Comparing To Other Double Ranked Samples For Mean And Ratio Estimators. Journal of Modern Applied Statistical Methods. 1(2). 428–442. 14 indexed citations

15.

Samawi, Hani M. & Walid Abu‐Dayyeh. (2002). On Regression Analysis with Random Regressors Using Ranked Samples. 13(3). 19–36. 11 indexed citations

16.

Ahmed, Shakeel, Walid Abu‐Dayyeh, & Hani M. Samawi. (2002). Interval estimation of the quantiles of finite population using multivariate auxiliary information. METRON. 60. 115–124. 1 indexed citations

17.

Samawi, Hani M.. (2000). On Double Extreme Ranked Set Sample with Application to Regression Estimator. METRON. 53–66. 15 indexed citations

18.

Samawi, Hani M., et al.. (1999). Power estimation for two sample tests using balanced resampling. Communication in Statistics- Theory and Methods. 28(5). 1073–1092. 2 indexed citations

19.

Samawi, Hani M.. (1999). More efficient monte carlo methods obtained by using ranked set simulated samples. Communications in Statistics - Simulation and Computation. 28(3). 699–713. 10 indexed citations

20.

Samawi, Hani M., et al.. (1998). Ratio Estimation Using Stratified Ranked Set Sample. METRON. 75–90. 11 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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