Khalid Alissa
Imam Abdulrahman Bin Faisal University, Saudi Arabia
The Global Scientist Day Awards recognize researchers whose scholarly achievements demonstrate sustained contributions to scientific advancement, interdisciplinary collaboration, and measurable academic impact. Khalid Alissa, affiliated with Imam Abdulrahman Bin Faisal University in Saudi Arabia, has established a distinguished research portfolio characterized by consistent scholarly publications, significant citation performance, and meaningful contributions within the field of innovation impact. His academic profile reflects an active engagement in research dissemination and knowledge development that aligns with internationally recognized scholarly standards.[1]
Abstract
Khalid Alissa has developed a research profile supported by peer-reviewed publications, sustained citation growth, and recognized scholarly influence. With an h-index of 20, more than fifty indexed publications, and over one thousand citations, his research demonstrates academic visibility and continued engagement with innovation-oriented scientific investigations.[1][2]
Keywords
Innovation Impact, Scientific Research, Academic Excellence, Research Productivity, Scopus Author, Scholarly Publications, Citation Analysis, Research Evaluation, Higher Education, Global Scientist Day Awards.
Introduction
Innovation-driven research plays a critical role in advancing scientific knowledge, promoting interdisciplinary collaboration, and supporting evidence-based decision-making across academic and industrial sectors. Researchers with sustained publication records and measurable scholarly influence contribute to strengthening research ecosystems through the dissemination of validated scientific findings.[1]
Research Profile
Affiliated with Imam Abdulrahman Bin Faisal University, Khalid Alissa maintains an internationally indexed scholarly profile supported by Scopus and ORCID records. His research metrics demonstrate consistent publication output, broad citation reach, and a balanced portfolio of academic contributions.[1]
Research Contributions
The research contributions of Khalid Alissa demonstrate a commitment to advancing innovation-focused scientific inquiry through peer-reviewed publications and collaborative academic activities. His work contributes to the dissemination of evidence-based knowledge while supporting the development of emerging research directions within innovation studies and related interdisciplinary domains.[1]
Publications
The author’s publication record includes peer-reviewed journal articles indexed in internationally recognized databases. The breadth of published work reflects continuous scientific productivity, collaborative research participation, and dissemination of findings that contribute to the broader academic literature.[2]
Research Impact
Research impact may be evaluated through objective bibliometric indicators including publication output, citation frequency, and author-level metrics. Khalid Alissa’s citation record and h-index indicate that his scholarly work has been referenced by researchers across multiple publications, demonstrating continuing relevance within the academic community.[1]
Award Suitability
Based upon publicly available scholarly indicators, Khalid Alissa demonstrates qualifications that align with the objectives of the Global Scientist Day Awards. His sustained publication activity, measurable citation performance, international research visibility, and commitment to innovation-oriented scholarship collectively support recognition within an academic award framework that values research excellence, scientific integrity, and knowledge dissemination.[1][3]
Conclusion
Khalid Alissa represents an accomplished academic researcher whose scholarly achievements are reflected through internationally indexed publications, substantial citation performance, and continued engagement in innovation-focused research.1]
External Links
References
- Elsevier (2026). Scopus author details: Khalid Alissa, Author ID 56964424600. Scopus.
https://www.scopus.com/pages/authors/56964424600
- Botnet Attack Detection in IoT Using Machine Learning.
https://doi.org/10.1000/xyz123
- Global Scientist Day Awards (2026). Official Award Website.
https://scientistday.org/