Global Scientist Day Awards
Bassant Elkalzah
Imam Mohammad Ibn Saud Islamic University
Global Scientist Day Awards is an international recognition initiative intended to highlight scientific contributions and encourage continued engagement in research. This profile presents the researcher information supplied for Bassant Elkalzah, affiliated with Imam Mohammad Ibn Saud Islamic University in Saudi Arabia, with a stated subject area of Data Science. The profile summarizes reported bibliometric indicators and links to external researcher records for further verification. The inclusion of these details provides a structured overview of the researcher’s academic profile; it does not independently verify publication records, establish award selection, or imply endorsement by the listed institution. [1] [2]
Abstract
This article presents an academic profile of Bassant Elkalzah, whose stated institutional affiliation is Imam Mohammad Ibn Saud Islamic University in Saudi Arabia and whose subject area is Data Science. The supplied profile records 33 documents, 84 citations, and an h-index of 6. These indicators provide a quantitative snapshot of reported scholarly activity, although their interpretation depends on database coverage, publication types, citation dates, and author identification. Links to Google Scholar, Scopus, and ORCID enable readers to consult external records. [1][2]
Keywords
Bassant Elkalzah; Data Science; academic research; research metrics; scholarly publications; citation analysis; Imam Mohammad Ibn Saud Islamic University; Saudi Arabia; Global Scientist Day Awards; ORCID; Google Scholar; Scopus.
Introduction
Data Science combines statistical reasoning, computational methods, and data-driven analysis to investigate questions across scientific and professional disciplines. Research in this field can support pattern identification, predictive modelling, decision-making, and the interpretation of complex datasets. Academic profiles help readers locate publications and examine selected indicators of scholarly activity. However, metrics should be interpreted alongside research quality, methodological transparency, reproducibility, and disciplinary context rather than as standalone measures of scientific merit. [1]
Research Profile
The information supplied for Bassant Elkalzah identifies Imam Mohammad Ibn Saud Islamic University in Saudi Arabia as the institutional affiliation and Data Science as the subject area. The associated Google Scholar and Scopus links provide starting points for examining indexed scholarly output, while the ORCID record supplies a persistent researcher identifier. The stated profile metrics are 33 documents, 84 citations, and an h-index of 6. [2] [3]
Research Contributions
An assessment of contributions in Data Science ordinarily considers the research questions addressed, the appropriateness of analytical methods, the quality and accessibility of data, and the reproducibility of results. Potential contributions may include developing analytical techniques, applying computational approaches to domain-specific problems, or producing evidence that supports further investigation. The supplied profile does not identify individual publications or specific findings, so particular discoveries and methodological achievements cannot be attributed to the researcher without reviewing the underlying scholarly records. [1]
Publications
The supplied information reports 33 documents associated with the research profile. To establish a reliable publication list, readers should consult the linked Google Scholar and Scopus records and compare titles, author names, publication venues, years, and digital object identifiers where available. Database records can differ because of indexing policies, duplicate entries, author-name variations, and differences in document types. Individual publications and their DOIs have not been enumerated here because a verified bibliography was not included in the supplied information. [2] [3]
Research Impact
The profile reports 84 citations and an h-index of 6. The h-index is a bibliometric measure that reflects a combination of publication productivity and citation frequency: an h-index of 6 generally means that at least six indexed publications have each received six or more citations within the database and time of measurement. Citation counts can indicate scholarly attention, but they do not directly measure accuracy, originality, societal benefit, or research quality. [4]
Award Suitability
Global Scientist Day Awards provides the context for this academic recognition profile. The reported institutional affiliation, subject area, and bibliometric indicators may serve as initial information for a research-related nomination. A fair award assessment should additionally examine the candidate’s verified publications, originality, methodological quality, contribution to the field, research integrity, and relevance to the award category. [2] [3][4]
Conclusion
This profile summarizes the supplied academic information for Bassant Elkalzah, including the stated affiliation with Imam Mohammad Ibn Saud Islamic University, Saudi Arabia, the subject area of Data Science, and the reported metrics of 33 documents, 84 citations, and an h-index of 6. External researcher identifiers offer routes for further examination of the underlying records.
External Links
References
- Google Scholar. (2026). Bassant Elkalzah: Google Scholar author profile.
https://scholar.google.com/citations?user=n8GWOIAAAAAJ&hl=en
- Elsevier. (2026.). Scopus author details: Bassant Elkalzah, Author ID 60258457200.
https://www.scopus.com/authid/detail.uri?authorId=60258457200
- ORCID. (2026.). Bassant Elkalzah: ORCID researcher record.
https://orcid.org/0000-0003-3218-6228
- Enhanced estimation for distribution function using auxiliary variable: Application with radiation data.
https://www.sciencedirect.com/science/article/pii/S1687850725003462
- Global Scientist Day Awards. (2026.). Official award website.
https://scientistday.org/