Muhammad Riaz

6.9k total citations
302 papers, 5.8k citations indexed

About

Muhammad Riaz is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Muhammad Riaz has authored 302 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 250 papers in Statistics, Probability and Uncertainty, 192 papers in Statistics and Probability and 76 papers in Control and Systems Engineering. Recurrent topics in Muhammad Riaz's work include Advanced Statistical Process Monitoring (250 papers), Advanced Statistical Methods and Models (177 papers) and Scientific Measurement and Uncertainty Evaluation (173 papers). Muhammad Riaz is often cited by papers focused on Advanced Statistical Process Monitoring (250 papers), Advanced Statistical Methods and Models (177 papers) and Scientific Measurement and Uncertainty Evaluation (173 papers). Muhammad Riaz collaborates with scholars based in Saudi Arabia, Pakistan and China. Muhammad Riaz's co-authors include Nasir Abbas, Ronald J. M. M. Does, Saddam Akber Abbasi, Hafiz Zafar Nazir, Shabbir Ahmad, Muhammad Hisyam Lee, Muhammad Abid, Mu’azu Ramat Abujiya, Babar Zaman and Rashid Mehmood and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Muhammad Riaz

294 papers receiving 5.6k 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 Riaz Saudi Arabia 39 5.1k 3.5k 1.4k 413 374 302 5.8k
Philippe Castagliola France 40 5.0k 1.0× 2.5k 0.7× 1.3k 0.9× 957 2.3× 528 1.4× 222 5.5k
Michael B. C. Khoo Malaysia 37 4.6k 0.9× 2.2k 0.6× 1.2k 0.9× 829 2.0× 559 1.5× 319 5.1k
Amirhossein Amiri Iran 25 2.3k 0.4× 1.4k 0.4× 719 0.5× 410 1.0× 111 0.3× 171 2.7k
Changliang Zou China 34 2.7k 0.5× 2.2k 0.6× 1.0k 0.7× 334 0.8× 117 0.3× 122 3.6k
Rassoul Noorossana Iran 27 2.0k 0.4× 1.1k 0.3× 630 0.5× 478 1.2× 81 0.2× 150 2.6k
Giovanni Celano Italy 30 1.9k 0.4× 941 0.3× 521 0.4× 367 0.9× 162 0.4× 94 2.4k
J. Bert Keats United States 21 1.3k 0.3× 814 0.2× 278 0.2× 339 0.8× 129 0.3× 49 2.2k
Lianjie Shu Macao 25 1.1k 0.2× 567 0.2× 520 0.4× 141 0.3× 172 0.5× 85 2.2k
Zhi‐Sheng Ye Singapore 38 1.8k 0.4× 1.9k 0.5× 1.2k 0.9× 179 0.4× 89 0.2× 148 5.6k
Christophe Bérenguer France 37 1.5k 0.3× 1.0k 0.3× 798 0.6× 59 0.1× 217 0.6× 132 4.5k

Countries citing papers authored by Muhammad Riaz

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Riaz

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Riaz. A scholar is included among the top collaborators of Muhammad Riaz 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 Riaz. Muhammad Riaz 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.
Abbas, Nasir, et al.. (2025). Smart Monitoring Solutions for Real‐Time Water pH Regulation in Aquatic Ecotoxicology. Journal of Chemometrics. 39(4). 1 indexed citations
2.
Zaman, Babar, et al.. (2025). Memory control chart based on machine learning technique for efficient process monitoring. Computers & Industrial Engineering. 201. 110894–110894. 3 indexed citations
3.
Riaz, Muhammad, et al.. (2024). Navigating Process Drift: The Power of CUSUM in Monitoring Air Quality Processes and Maintenance Operations. Arabian Journal for Science and Engineering. 50(14). 11145–11166. 3 indexed citations
4.
Abbas, Zameer, et al.. (2024). Efficient and distribution-free charts for monitoring the process location for individual observations. Journal of Statistical Computation and Simulation. 94(13). 2992–3014. 1 indexed citations
5.
Zaman, Babar, et al.. (2023). Corrections to an adaptive EWMA control chart based on Hampel function to monitor the process location parameter by Zaman et al. (2023). Quality and Reliability Engineering International. 40(1). 752–757. 2 indexed citations
6.
Gu, Jiguang, Fang Guo, Lihong Lin, et al.. (2023). Microbiological mechanism for “production while remediating” in Cd-contaminated paddy fields: A field experiment. The Science of The Total Environment. 885. 163896–163896. 16 indexed citations
7.
Abbas, Zameer, et al.. (2022). Non-parametric progressive signed-rank control chart for monitoring the process location. Journal of Statistical Computation and Simulation. 92(12). 2596–2622. 14 indexed citations
8.
Mehmood, Rashid, et al.. (2021). Generalized Hotelling T 2 control chart based on bivariate ranked set techniques with runs rules. Transactions of the Institute of Measurement and Control. 43(10). 2180–2195. 4 indexed citations
9.
Abbas, Zameer, et al.. (2021). On developing sensitive nonparametric mixed control charts with application to manufacturing industry. Quality and Reliability Engineering International. 37(6). 2699–2723. 17 indexed citations
10.
Abbas, Zameer, Hafiz Zafar Nazir, & Muhammad Riaz. (2021). On correct expression of variance of double progressive mean statistic for monitoring Poisson observations. Quality and Reliability Engineering International. 37(6). 2325–2328. 2 indexed citations
11.
Abbas, Zameer, et al.. (2020). On designing a progressive mean chart for efficient monitoring of process location. Quality and Reliability Engineering International. 36(5). 1716–1730. 20 indexed citations
12.
Abbas, Zameer, et al.. (2020). On developing an exponentially weighted moving average chart under progressive setup: An efficient approach to manufacturing processes. Quality and Reliability Engineering International. 36(7). 2569–2591. 23 indexed citations
13.
Riaz, Muhammad, Muhammad Abid, Zameer Abbas, & Hafiz Zafar Nazir. (2020). An enhanced approach for the progressive mean control charts: A discussion and comparative analysis. Quality and Reliability Engineering International. 37(1). 1–9. 8 indexed citations
14.
Hamzat, Abdulhammed K., et al.. (2020). Investigation of Corrosion Rate of Mild Steel in Fruit Juice Environment Using Factorial Experimental Design. International Journal of Corrosion. 2020. 1–10. 11 indexed citations
15.
Abid, Muhammad, et al.. (2019). A Comparative Analysis of Robust Dispersion Control Charts with Application Related to Health Care Data. Journal of Testing and Evaluation. 48(1). 247–259. 8 indexed citations
16.
Riaz, Muhammad. (2014). Control charting and survey sampling techniques in process monitoring. Journal of the Chinese Institute of Engineers. 38(3). 342–354. 32 indexed citations
17.
Joarder, Anwar H., et al.. (2014). On a Correlated Variance Ratio Distribution and Its Industrial Application. Communication in Statistics- Theory and Methods. 44(2). 261–274. 7 indexed citations
18.
Ahmad, Shabbir, Muhammad Riaz, Saddam Akber Abbasi, & Zhengyan Lin. (2013). On efficient median control charting. Journal of the Chinese Institute of Engineers. 37(3). 358–375. 63 indexed citations
19.
Riaz, Muhammad, Rashid Mehmood, & Ronald J. M. M. Does. (2011). On the performance of different control charting rules. Quality and Reliability Engineering International. 27(8). 1059–1067. 53 indexed citations
20.
Schoonhoven, Marit, Hafiz Zafar Nazir, Muhammad Riaz, & Ronald J. M. M. Does. (2011). Robust Location Estimators for the Ū Control Chart. Journal of Quality Technology. 43(4). 363–379. 44 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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