Muhammad Qaiser Shahbaz

1.2k total citations
88 papers, 820 citations indexed

About

Muhammad Qaiser Shahbaz is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Global and Planetary Change. According to data from OpenAlex, Muhammad Qaiser Shahbaz has authored 88 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Statistics and Probability, 31 papers in Statistics, Probability and Uncertainty and 19 papers in Global and Planetary Change. Recurrent topics in Muhammad Qaiser Shahbaz's work include Statistical Distribution Estimation and Applications (48 papers), Probabilistic and Robust Engineering Design (29 papers) and Hydrology and Drought Analysis (17 papers). Muhammad Qaiser Shahbaz is often cited by papers focused on Statistical Distribution Estimation and Applications (48 papers), Probabilistic and Robust Engineering Design (29 papers) and Hydrology and Drought Analysis (17 papers). Muhammad Qaiser Shahbaz collaborates with scholars based in Pakistan, Saudi Arabia and Bangladesh. Muhammad Qaiser Shahbaz's co-authors include Nadeem Shafique Butt, Bander Al-Zahrani, Karim Keshavjee, Aziz Guergachi, Sajida Perveen, Osama H. Arif, Ali A. Al-Shomrani, A. I. Shawky, Muhammad Hanif and Ahmad Azam Malik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Muhammad Qaiser Shahbaz

79 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Qaiser Shahbaz Pakistan 14 524 312 167 112 71 88 820
Huda M. Alshanbari Saudi Arabia 15 306 0.6× 212 0.7× 49 0.3× 66 0.6× 36 0.5× 75 671
Abdisalam Hassan Muse Saudi Arabia 14 337 0.6× 148 0.5× 53 0.3× 40 0.4× 37 0.5× 67 546
Carolina Marchant Chile 16 531 1.0× 282 0.9× 70 0.4× 125 1.1× 40 0.6× 30 827
Hani M. Samawi United States 15 889 1.7× 451 1.4× 89 0.5× 109 1.0× 48 0.7× 113 1.0k
S. Ejaz Ahmed Canada 17 785 1.5× 134 0.4× 30 0.2× 156 1.4× 14 0.2× 159 1.1k
Fukang Zhu China 20 902 1.7× 104 0.3× 112 0.7× 241 2.2× 18 0.3× 93 1.4k
‎M‎ohammad Arashi Iran 19 906 1.7× 310 1.0× 41 0.2× 135 1.2× 17 0.2× 163 1.3k
Helton Saulo Brazil 19 715 1.4× 307 1.0× 84 0.5× 158 1.4× 50 0.7× 82 987
Faridoon Khan Pakistan 14 129 0.2× 88 0.3× 30 0.2× 32 0.3× 14 0.2× 33 468
Sanku Dey India 20 968 1.8× 694 2.2× 166 1.0× 76 0.7× 239 3.4× 96 1.2k

Countries citing papers authored by Muhammad Qaiser Shahbaz

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Qaiser Shahbaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Qaiser Shahbaz. 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 Muhammad Qaiser Shahbaz. The network helps show where Muhammad Qaiser Shahbaz may publish in the future.

Co-authorship network of co-authors of Muhammad Qaiser Shahbaz

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Qaiser Shahbaz. A scholar is included among the top collaborators of Muhammad Qaiser Shahbaz 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 Muhammad Qaiser Shahbaz. Muhammad Qaiser Shahbaz 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.
Zhang, Jianhua, et al.. (2024). Green Innovation in Business: A Comprehensive Bibliometric Analysis of Trends, Contributors, and Future Directions. Sustainability. 16(24). 10956–10956. 4 indexed citations
2.
Hamedani, G. G., et al.. (2024). A NEW CUBIC TRANSMUTED LOG-LOGISTIC DISTRIBUTION: PROPERTIES, APPLICATIONS, AND CHARACTERIZATIONS. Advances and Applications in Statistics. 91(3). 335–361. 1 indexed citations
3.
AL-Marshadi, Ali Hussein, et al.. (2023). Advances and Applications in Statistics. Advances and Applications in Statistics. 87(1). 1–11.
4.
Shahbaz, Muhammad Qaiser, et al.. (2023). Scope of E-Portfolio Based Assessment Tool: Perceptions and Practices of ELT Practitioners in Pakistan. 9(1). 75–90. 1 indexed citations
5.
Özel, Gamze, et al.. (2023). Extended Inverse Weibull Distribution with Application in Reliability Sciences. International Journal of Reliability Quality and Safety Engineering. 30(2). 3 indexed citations
6.
Alzaatreh, Ayman, Mohammad Al‐Jarrah, Michael Smithson, et al.. (2020). Truncated Family of Distributions with Applications to Time and Cost to Start a Business. Methodology And Computing In Applied Probability. 23(1). 5–27. 11 indexed citations
7.
Ismail, Muhammad, et al.. (2020). Efficient estimation combining exponential and ln functions under two phase sampling. AIMS Mathematics. 5(6). 7604–7622. 5 indexed citations
8.
Algarni, Ali & Muhammad Qaiser Shahbaz. (2020). Bivariate Beta–Inverse Weibull Distribution: Theory and Applications. Computer Systems Science and Engineering. 36(1). 83–100. 3 indexed citations
9.
Perveen, Sajida, Muhammad Qaiser Shahbaz, Karim Keshavjee, & Aziz Guergachi. (2018). Metabolic Syndrome and Development of Diabetes Mellitus: Predictive Modeling Based on Machine Learning Techniques. IEEE Access. 7. 1365–1375. 55 indexed citations
10.
Shahbaz, Muhammad Qaiser, et al.. (2017). Topp-Leone Inverse Weibull Distribution: Theory and Application. European Journal of Pure and Applied Mathematics. 10(5). 1005–1022. 15 indexed citations
11.
Noor‐ul‐Amin, Muhammad, Muhammad Qaiser Shahbaz, & Cem Kadılar. (2016). RATIO ESTIMATORS FOR POPULATION MEAN USING ROBUST REGRESSION IN DOUBLE SAMPLING. Gazi university journal of science. 29(4). 793–798. 10 indexed citations
12.
Shahbaz, Muhammad Qaiser, et al.. (2015). Bayesian Estimation for Parameters of Power Function Distribution under Various Priors. Mathematical theory and modeling. 5(13). 106–112. 1 indexed citations
13.
Shahbaz, Muhammad Qaiser, et al.. (2012). The Kumaraswamy–Inverse Weibull Distribution. SHILAP Revista de lepidopterología. 8(3). 479–479. 54 indexed citations
14.
Shahbaz, Muhammad Qaiser, et al.. (2012). Mixture Ratio and Regression Estimators using Multi-auxiliary Variables and Attributes in Single Phase Sampling. 6 indexed citations
15.
Shahbaz, Muhammad Qaiser, et al.. (2012). The Kumaraswamy-Inverse Weibull Distribution. SSRN Electronic Journal. 14 indexed citations
16.
Shahbaz, Muhammad Qaiser, et al.. (2010). Concomitants of Upper Record Statistics for Bivariate Pseudo-Weibull Distribution. Applications and Applied Mathematics: An International Journal (AAM). 5(2). 3. 8 indexed citations
17.
Butt, Nadeem Shafique, et al.. (2010). MANOVA with Summary Statistics: A Stata Program. SSRN Electronic Journal.
18.
Shahbaz, Muhammad Qaiser, et al.. (2010). On distribution of bivariate concomitants of records. Applied Mathematics Letters. 23(5). 567–570. 3 indexed citations
19.
Shahbaz, Muhammad Qaiser, et al.. (2010). On a new class of probability distributions. Applied Mathematics Letters. 24(4). 545–552. 4 indexed citations
20.
Shirvani, Mansour, et al.. (2004). Heuristic Process Model Simplification in Frequency Response Domain. 17(1). 19–39. 2 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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