Innovative Research Award

Dabiah Alboaneen
Imam Abdulrahman bin Faisal University

Dabiah Alboaneen is a researcher affiliated with Imam Abdulrahman bin Faisal University in Saudi Arabia whose academic profile is situated within Computer Science and Artificial Intelligence. Her scholarly record reflects research activity supported by internationally indexed publications, citation performance, and continued engagement with computational research. The documented profile includes 30 research documents, 553 citations, and an h-index of 13, providing measurable indicators of scholarly visibility and research productivity.[1]

Abstract

Dabiah Alboaneen is a computer science researcher affiliated with Imam Abdulrahman bin Faisal University in Saudi Arabia, with an academic profile focused on Computer Science and Artificial Intelligence. Her research profile demonstrates sustained scholarly activity supported by indexed research publications and measurable citation influence. The supplied academic record identifies 30 documents, 553 citations, and an h-index of 13 under Scopus Author ID 56530765900. Her ORCID identifier provides an additional persistent connection to her scholarly identity. The combination of research productivity, citation visibility, and engagement with artificial intelligence provides an academic foundation for consideration for the Innovative Research Award in recognition of scholarly contribution.

Keywords

Artificial Intelligence, Computer Science, Machine Learning, Deep Learning, Data Science, Intelligent Systems, Computational Research, Research Innovation, Predictive Analytics, Natural Language Processing, Scholarly Communication, Saudi Arabia.

Introduction

Computer Science and Artificial Intelligence represent rapidly developing research fields that integrate computational methods, data-driven analysis, intelligent algorithms, and emerging technologies. Research within these disciplines contributes to the development of systems capable of supporting complex analytical and decision-making tasks. Within this academic context, Dabiah Alboaneen’s profile reflects sustained engagement with computer science and artificial intelligence research, supported by an internationally identifiable scholarly record and measurable bibliometric indicators.[1]

Research Profile

The research profile of Dabiah Alboaneen demonstrates sustained academic productivity within Computer Science and Artificial Intelligence. Her institutional affiliation with Imam Abdulrahman bin Faisal University places her research within a major academic environment in Saudi Arabia. The supplied Scopus record identifies 30 documents, 553 citations, and an h-index of 13, while ORCID provides a persistent researcher identifier for scholarly attribution and discovery.[1] [2]

Research Contributions

Alboaneen’s academic contribution is positioned within the broader development of artificial intelligence and computational research. Her research profile provides evidence of continuing scholarly activity and publication output in a field characterized by rapid methodological development. Through research connected with computer science and artificial intelligence, her academic work contributes to the broader body of knowledge concerned with computational approaches, intelligent technologies, data-driven methods, and the development of emerging digital solutions.[1]

Publications

The supplied profile records 30 scholarly documents associated with Dabiah Alboaneen through the Scopus author record. This publication activity provides evidence of sustained research engagement and scholarly communication within Computer Science and Artificial Intelligence. The citation record further indicates that the published research has received attention within the academic literature. Specific publication titles and DOI records were not included in the supplied profile data and therefore are not listed here without independent verification.[1]

Research Impact

The reported citation count of 553 and h-index of 13 provide measurable indicators of the academic visibility associated with the research profile. Such bibliometric measures can assist in understanding the extent to which published research has been referenced within scholarly literature. Together with 30 documented research documents, these indicators demonstrate an established publication record and continuing academic engagement in Computer Science and Artificial Intelligence.[1]

Award Suitability

The Innovative Research Award is intended to recognize meaningful research activity, scholarly productivity, and contributions to an identified research discipline. Dabiah Alboaneen’s profile aligns with these considerations through documented research activity in Computer Science and Artificial Intelligence, 30 indexed documents, 553 citations, and an h-index of 13. These indicators provide a quantitative basis for academic evaluation, while the final award determination remains subject to the applicable assessment process of the Global Best Achievements Awards.[1] [4]

Conclusion

Dabiah Alboaneen has established an identifiable academic research profile in Computer Science and Artificial Intelligence through sustained publication activity and measurable scholarly visibility. The supplied record of 30 documents, 553 citations, and an h-index of 13 demonstrates continued engagement with the research community. Her institutional affiliation and persistent ORCID and Scopus identifiers further support the traceability of her scholarly record and provide a foundation for consideration for the Innovative Research Award.[1] [2]

External Links

• ORCID Profile
• Scopus Author Profile
• Google Scholar Profile
• Award Website

References

1. Elsevier. (n.d.). Scopus author details: Dabiah Alboaneen, Author ID 56530765900. Scopus.
   https://www.scopus.com/pages/authors/56530765900
2. ORCID. (n.d.). Dabiah Alboaneen — ORCID record. ORCID.
   https://orcid.org/0000-0003-2215-9963
3. Google Scholar. (n.d.). Dabiah Alboaneen — Google Scholar profile.
   https://scholar.google.co.uk/citations?user=4ZvRmmQAAAAJ
4. Global Best Achievements Awards. (n.d.). Global Best Achievements Awards.
   https://bestachievements.com/