Best Researcher Award
Tusneem Elhassan
King Faisal Specialist Hospital and Research Center
Tusneem Elhassan is a researcher affiliated with King Faisal Specialist Hospital and Research Center in Saudi Arabia. The available researcher information identifies Smart Manufacturing Systems as the subject area and records 77 documents, 1,145 citations, and an h-index of 15. These bibliometric indicators provide a structured context for academic recognition. [1]
Abstract
This academic recognition profile presents Tusneem Elhassan in relation to the Best Researcher Award and the International Robotics and Automation Awards. The profile summarizes institutional affiliation, bibliometric information, research subject area, publication activity, and publicly identified researcher identifiers. The information is presented descriptively to support academic recognition and documentation.[2]
Keywords
Tusneem Elhassan; Best Researcher Award; Smart Manufacturing Systems; robotics and automation; research publications; bibliometrics; academic research; King Faisal Specialist Hospital and Research Center; Saudi Arabia; research impact.
Introduction
Research in smart manufacturing systems connects automation, digital technologies, data-driven processes, and intelligent production environments. Within this multidisciplinary context, academic profiles can document research activity through publications, citations, institutional affiliation, and persistent identifiers. Tusneem Elhassan’s profile provides these elements for consideration in an academic recognition context.[3]
Research Profile
Tusneem Elhassan is affiliated with King Faisal Specialist Hospital and Research Center in Saudi Arabia, with Smart Manufacturing Systems identified as the subject area. The supplied Scopus record lists 77 documents, 1,145 citations, and an h-index of 15. An ORCID identifier is also associated with the researcher profile. [1]
Research Contributions
The documented research profile indicates sustained scholarly activity relevant to smart manufacturing systems and related technological research. Its contribution can be examined through publication output, citation activity, and continuity of research documentation. These measures provide quantitative context, while individual studies and their findings require assessment through the underlying publications.[3]
Publications
The supplied researcher record reports 77 documents associated with the Scopus author profile. Publication records provide a basis for examining research themes, collaboration patterns, venues, and scholarly development over time. Detailed evaluation of individual publications should rely on bibliographic records, article metadata, abstracts, and DOI information where available. [2]
Research Impact
The available bibliometric information records 1,145 citations and an h-index of 15 for the supplied Scopus author profile. Such indicators can describe citation activity and publication visibility within indexed literature, but they do not independently measure every dimension of research quality or societal impact. Interpretation should therefore consider field and publication context. [1]
Award Suitability
The Best Researcher Award profile corresponds to documented research activity, publication output, citation information, and an identified subject area in Smart Manufacturing Systems. These characteristics provide relevant evidence for an academic recognition profile. Final award consideration should be based on the official criteria, submitted documentation, and independent evaluation procedures of the award program.[2]
Conclusion
Tusneem Elhassan’s academic profile documents research activity associated with King Faisal Specialist Hospital and Research Center and Smart Manufacturing Systems. The reported publication and citation indicators provide measurable bibliometric context for recognition. Further assessment may consider individual research outputs, methodological contributions, collaborations, and documented influence alongside the available quantitative indicators. [3]
External Links
References
- Systematic review and meta-analysis of AI methods for immature WBC subtype classification.
https://www.researchgate.net/publication/414442624
- Prognostic significance of PNH clones in aplastic anemia treated with immunosuppression or allogeneic HSCT: a 20-year single-center experience.
https://www.researchgate.net/publication/404079622
- Classification of Imbalance Data using Tomek Link (T-Link) Combined with Random Under-sampling (RUS) as a Data Reduction Method.
https://www.researchgate.net/publication/326590590