Mustapha Rachdi | Statistics | Research Excellence Award

Published on by Metallurgical Engineering

Research Excellence Award

Mustapha Rachdi
University Grenoble Alpes, France

Mustapha Rachdi
Affiliation University Grenoble Alpes
Country France
Scopus ID 6603900449
Documents 93
Citations 1,254
h-index 20
Subject Area Statistics
Event Metallurgical Engineering Awards
ORCID 0000-0002-9203-056X

Mustapha Rachdi is a researcher affiliated with University Grenoble Alpes, France, whose academic subject area is statistics. His research profile, as represented by the supplied bibliometric information, includes 93 indexed documents, 1,254 citations, and an h-index of 20 in Scopus. His scholarly identifiers and research profiles provide avenues for examining his academic publications, research outputs, and citation record. This article presents his research profile in the context of the Research Excellence Award associated with the Metallurgical Engineering Awards. The bibliometric information is based on the supplied researcher data and should be interpreted in accordance with the relevant database records. [1] [2]

Abstract

This academic recognition profile presents the scholarly background and bibliometric indicators of Mustapha Rachdi, affiliated with University Grenoble Alpes, France. The researcher is associated with the subject area of statistics and has a Scopus-indexed record comprising 93 documents, 1,254 citations, and an h-index of 20, according to the provided information. The profile summarizes the available research metrics, academic identifiers, publication-related contributions, and research impact indicators. It also outlines the relevance of the Research Excellence Award as a framework for recognizing scholarly productivity, research quality, and contributions to scientific knowledge. Detailed publication-level assessment and independent verification of the award selection are beyond the scope of the supplied information. [1] [3]

Keywords

Mustapha Rachdi; Research Excellence Award; Statistics; University Grenoble Alpes; Statistical Research; Bibliometrics; Scholarly Publications; Citation Analysis; Research Impact; Academic Recognition; Scopus; h-index; Scientific Productivity; Research Evaluation; Quantitative Research.

Introduction

Statistics constitutes a fundamental discipline in contemporary scientific research, supporting the development of quantitative methodologies, analytical frameworks, data interpretation, and evidence-based decision-making. Statistical research contributes to a broad range of scientific and technological domains by facilitating the analysis of uncertainty, the development of mathematical models, and the evaluation of experimental and observational data.[1] [2]

Research Profile

Mustapha Rachdi’s academic profile is associated with University Grenoble Alpes, a French higher education and research institution. His designated subject area is statistics. Statistical research typically encompasses mathematical modeling, probability theory, statistical inference, computational methods, and quantitative analysis. The specific research themes and individual methodological contributions of the researcher should be determined through examination of his indexed publications and institutional research records. [1]

Research Contributions

The research contributions associated with a statistical researcher may be examined through published methodologies, theoretical developments, computational techniques, collaborative investigations, and applications of quantitative analysis. Such contributions can provide methodological foundations for addressing scientific problems involving uncertainty, data complexity, and inference. [3]

Publications

The supplied Scopus record reports 93 documents associated with Mustapha Rachdi. These research outputs constitute the reported indexed publication portfolio through which his scholarly activity can be examined. Publication records may include research articles, conference papers, reviews, and other indexed scholarly documents depending on the database classification.[1] [4]

Research Impact

Research impact may be examined through citation activity, publication dissemination, methodological adoption, scholarly collaboration, and contributions to scientific advancement. The supplied metrics for Mustapha Rachdi indicate 1,254 citations and an h-index of 20, together with 93 indexed documents. These values provide a quantitative perspective on the visibility and citation history of his research publications within the referenced database. [1]

The h-index combines publication productivity and citation impact by identifying a threshold at which a researcher has a specified number of publications receiving at least that number of citations. Although useful as a summary indicator, it does not fully capture research originality, individual contribution, methodological quality, or differences in citation practices among disciplines. [3]

Award Suitability

The Research Excellence Award is intended to recognize scholarly achievement, research quality, and contributions to academic knowledge within the award’s stated scope. The reported bibliometric indicators for Mustapha Rachdi, including 93 documents, 1,254 citations, and an h-index of 20, may serve as supporting information in an academic research assessment. [5]

Conclusion

Mustapha Rachdi, affiliated with University Grenoble Alpes, France, is identified in the supplied academic profile as a researcher in statistics. His reported Scopus record comprises 93 documents, 1,254 citations, and an h-index of 20. These bibliometric indicators provide a quantitative summary of his documented scholarly publication activity and citation record. [1] [2] [4]

References

  1. Elsevier. (n.d.). Scopus author details: Mustapha Rachdi, Author ID 6603900449. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6603900449
  2. K Oshinubi, A Amakor, OJ Peter, M Rachdi, J Demongeot. (2022). Approach to COVID-19 time series data using deep learning and spectral analysis methods..
    https://www.aimspress.com/article/doi/10.3934/bioeng.2022001
  3. K Oshinubi, F Ibrahim, M Rachdi, J Demongeot. (2022). Functional data analysis: Application to daily observation of COVID-19 prevalence in France.
    https://www.aimspress.com/article/doi/10.3934/math.2022298
  4. J Demongeot, K Oshinubi, M Rachdi, et al. (2021). Estimation of daily reproduction numbers during the COVID-19 outbreak.
    https://www.mdpi.com/2079-3197/9/10/109
  5. H Seligmann, S Iggui, M Rachdi, et al. (2020). Inverted covariate effects for first versus mutated second wave Covid-19: high temperature spread biased for young.
    https://www.mdpi.com/2079-7737/9/8/226

Aamir Saghir | Statistical Process Control | Best Researcher Award

Published on by Metallurgical Engineering

Dr. Aamir Saghir | Statistical Process Control | Best Researcher Award

Associate professor at Mirpur University of Science and Technology | Pakistan

Dr. Aamir Saghir, Associate Professor at Mirpur University of Science and Technology (MUST), Pakistan, is recognized for his outstanding work in statistical quality control, probability modeling, and industrial data analytics. His research primarily focuses on developing flexible, robust, and Bayesian control charts for process monitoring in both univariate and multivariate environments. With 49 publications, 567 citations, and an h-index of 15 (Scopus), Dr. Saghir’s contributions are well-established in the international scientific community. He has published extensively in high-impact journals, including Computers & Industrial Engineering, Quality and Reliability Engineering International, Communications in Statistics, and Applied and Computational Mathematics. His collaborative research extends globally, involving advanced modeling for reliability analysis, environmental statistics, and the integration of machine learning with statistical monitoring. His co-authored book, “Introduction to Statistical Process Control” (John Wiley & Sons, 2020), serves as a reference for modern control chart design and applications. Dr. Saghir’s scholarly output demonstrates a balance of theoretical innovation and practical relevance, influencing diverse fields such as manufacturing, environmental studies, and data-driven decision-making. Through supervision of postgraduate students and contributions to academic boards, he has fostered research excellence in Pakistan and abroad. His sustained research impact and leadership affirm his suitability for the Best Researcher Award.

Profiles : Scopus | ORCID | Google Scholar

Featured Publications

Saghir, A., Khadim, A., & Lin, Z. (2017). The Maxwell length-biased distribution: Properties and estimation.Journal of Statistical Theory and Practice, 11(1), 26–40. Citation: 24

Saghir, A., Ahmad, L., Aslam, M., & Jun, C. H. (2019). A EWMA control chart based on an auxiliary variable and repetitive sampling for monitoring process location. Communications in Statistics–Simulation and Computation, 48(7), 2034–2045. Citation: 23

Ahmad, I., Abbas, A., Saghir, A., & Fawad, M. (2016). Finding probability distributions for annual daily maximum rainfall in Pakistan using linear moments and variants. Polish Journal of Environmental Studies, 25(3), 925–937. Citation: 23

Saghir, A. (2015). Phase-I design scheme for Xˉ\bar{X}-chart based on posterior distribution. Communications in Statistics–Theory and Methods, 44(3), 644–655. Citation: 22

Hu, X. L., Zhang, S. Y., Zhang, J., & Saghir, A. (2023). Efficient CUSUM control charts for monitoring the multivariate coefficient of variation. Computers & Industrial Engineering, 179, 109159. Citation: 15