ZIBOUDA ALIOUAT | Intelligence artificielle | Women Researcher Award

Published on by Global CAD Awards

Women Researcher Award

ZIBOUDA ALIOUAT
University Setif 1 Ferhat Abbas
ZIBOUDA ALIOUAT
Researcher ZIBOUDAALIOUAT
Affiliation University Setif 1 Ferhat Abbas
Country Algeria
Scopus ID 54584834500
Documents 136
Citations 2,038
h-index 25
Subject Area Intelligence artificielle
Event Global Cad Awards
ORCID 0000-0002-7007-7607

ZIBOUDA ALIOUAT is a researcher affiliated with University Setif 1 Ferhat Abbas in Algeria, with a stated research focus in Intelligence artificielle (artificial intelligence). The researcher profile supplied for this recognition page records 136 documents, 2,038 citations, and an h-index of 25, alongside identifiers in Scopus and ORCID. These bibliometric indicators provide a quantitative view of the research record and are considered here as supporting information rather than as a standalone measure of research quality or significance.[1]

Abstract

ZIBOUDA ALIOUAT, affiliated with University Setif 1 Ferhat Abbas, Algeria, is presented for consideration under the Women Researcher Award associated with the Global Cad Awards. The supplied research profile identifies Intelligence artificielle as the principal subject area and reports 136 documents, 2,038 citations, and an h-index of 25. These indicators suggest a substantial body of indexed scholarly output and measurable citation visibility within the available bibliometric record. Scopus and ORCID identifiers provide mechanisms for distinguishing and verifying the researcher’s scholarly profile.[2]

Keywords

  • Women Researcher Award
  • Artificial Intelligence
  • Intelligence artificielle
  • Bibliometrics
  • Research Impact
  • Scholarly Publications
  • University Setif 1 Ferhat Abbas

Introduction

Research in artificial intelligence encompasses computational methods and systems capable of performing tasks that traditionally require aspects of human intelligence, including learning, reasoning, perception, optimization, and decision support. As the field has developed, bibliometric indicators have become useful for describing publication activity and citation visibility, although such indicators should be interpreted in relation to disciplinary practices, publication age, collaboration patterns, and the nature of individual research contributions.[1]

The present academic profile summarizes the information supplied for ZIBOUDA ALIOUAT and focuses on the documented indicators associated with the researcher’s scholarly identity. The profile is not intended to infer research contributions that are not supported by the supplied records. Scopus and ORCID identifiers are included as external scholarly references for profile verification.

Research Profile

The researcher is affiliated with University Setif 1 Ferhat Abbas in Algeria and is associated with the subject area identified as Intelligence artificielle. The supplied Scopus profile reports 136 documents, 2,038 citations, and an h-index of 25. The h-index is commonly used to describe a combination of publication productivity and citation impact, while the document and citation counts provide additional quantitative context.[1]

Indicator Reported Value
Affiliation University Setif 1 Ferhat Abbas
Country Algeria
Subject Area Intelligence artificielle
Documents 136
Citations 2,038
h-index 25

Research Contributions

The available profile identifies artificial intelligence as the research subject area but does not provide a sufficiently detailed publication-level record in the supplied information to attribute specific algorithms, applications, datasets, projects, or individual scientific findings. Accordingly, the research contributions described on this page are limited to the documented scholarly profile and its bibliometric indicators.

The reported volume of 136 documents indicates sustained scholarly publication activity. The associated citation count of 2,038 and h-index of 25 provide additional indicators of how the research output has been referenced within the indexed scholarly literature. These metrics are best interpreted together with publication-level evidence when assessing the substantive contribution of individual studies.[3]

Publications

The supplied information records 136 documents in the researcher’s Scopus profile. A publication-by-publication bibliography has not been included in the source information used for this page; therefore, individual article titles, journals, publication years, citation counts, and DOI assignments are not reproduced here without verification.[1]

For the authoritative publication record, readers may consult the researcher’s indexed Scopus profile through the external link provided below. ORCID is also provided as a persistent scholarly identifier that can assist with distinguishing the researcher’s works from those of other researchers with similar names.

Research Impact

The available bibliometric profile reports 2,038 citations across 136 documents and an h-index of 25. These figures indicate measurable visibility of the research output within the indexed literature. Citation-based measures can be useful for comparative and descriptive purposes, but they do not by themselves establish the originality, methodological quality, societal relevance, or influence of individual research contributions.[1]

Within the context of a recognition assessment, the reported metrics provide quantitative evidence supporting the existence of an established scholarly publication and citation record. A complete evaluation would additionally consider the quality and relevance of individual publications, research leadership, collaboration, innovation, mentoring, and broader contributions to the field.

Award Suitability

The Women Researcher Award profile is aligned with the documented characteristics of the submitted research record. The researcher is affiliated with a university in Algeria and has an identified research focus in artificial intelligence. The supplied bibliometric indicators—136 documents, 2,038 citations, and an h-index of 25—provide objective quantitative evidence of scholarly activity and citation visibility.[2]

On the basis of the information supplied for this page, the profile presents a substantive academic record relevant to consideration for a research recognition category. The final award determination remains subject to the applicable evaluation procedures and verification requirements of the Global Cad Awards.

Conclusion

ZIBOUDA ALIOUAT of University Setif 1 Ferhat Abbas, Algeria, is presented in this academic recognition profile as a researcher working in the area of Intelligence artificielle. The supplied Scopus indicators of 136 documents, 2,038 citations, and an h-index of 25 constitute a quantitative record of scholarly publication and citation activity. The profile is therefore relevant to consideration under the Women Researcher Award, while substantive assessment of individual research contributions should be based on verified publication-level and qualitative evidence in addition to bibliometric indicators.[1]

References

  1. Elsevier, Scopus Author Profile: Author ID 54584834500. Available at:
    https://www.scopus.com/authid/detail.uri?authorId=54584834500.
  2. ORCID, ORCID record associated with identifier 0000-0002-7007-7607. Available at:
    https://orcid.org/0000-0002-7007-7607.
  3. Big data collection in large-scale wireless sensor networks
    https://www.mdpi.com/1424-8220/18/12/4474
  4. An adaptive clustering approach to dynamic load balancing and energy efficiency in wireless sensor networks
    https://www.sciencedirect.com/science/article/abs/pii/S036054421631115X