Research Excellence Award
Gousia Habib
Bahrain Polytechnic
| Gousia Habib |
| Affiliation |
Bahrain Polytechnic |
| Country |
Bahrain |
| Scopus ID |
57221589277 |
| Documents |
21 |
| Citations |
700 |
| h-index |
6 |
| Subject Area |
Machine Learning |
| Event |
Computer Scientists Awards |
| ORCID |
0000-0002-4773-3733 |
Gousia Habib is a researcher affiliated with Bahrain Polytechnic, Bahrain, whose academic profile is associated with Machine Learning. Her reported scholarly record includes 21 documents, 700 citations and an h-index of 6. Her profile is presented in connection with the Research Excellence Award recognition of the Computer Scientists Awards.
Abstract
This article presents the academic profile of Gousia Habib, highlighting her institutional affiliation, research subject area and reported scholarly indicators. Her publication and citation record provides a quantitative overview of her research activity.
Keywords
Gousia Habib; Machine Learning; Computer Science; Artificial Intelligence; Research Publications; Citation Impact; Bahrain Polytechnic; Research Excellence Award.
Introduction
Machine Learning is an important area of computer science concerned with computational methods that enable systems to identify patterns and learn from data. Research in this field contributes to predictive modelling, intelligent systems and data-driven applications. Gousia Habib’s listed subject area connects her academic profile with this evolving discipline.
Research Profile
Habib is affiliated with Bahrain Polytechnic in Bahrain. Her reported Scopus author identifier is 57221589277. The supplied bibliometric information records 21 documents, 700 citations and an h-index of 6. These indicators provide a quantitative overview of publication activity and scholarly visibility.
Research Contributions
Machine Learning is relevant to computational intelligence, predictive analysis and modern data-driven technologies. Research in this discipline can support automated classification, pattern recognition and decision-making. Specific contributions should be evaluated through the researcher’s original publications.
Publications
The supplied Scopus profile reports 21 research documents. These publications form the documented basis for assessing her research activity. Individual publication titles, journal details and DOI identifiers can be consulted through the author profile.
Research Impact
The reported 700 citations indicate that her publications have received scholarly references from other research works. An h-index of 6 indicates at least six publications with six or more citations each. These metrics provide a quantitative perspective on research visibility, but do not independently measure research quality.
Award Suitability
The Research Excellence Award associated with the Computer Scientists Awards recognizes academic research activity and scholarly contributions. Habib’s reported publication and citation indicators provide relevant information for presenting her research profile. Final award assessment should follow the event’s official eligibility and selection criteria.
Conclusion
Gousia Habib’s academic profile highlights her affiliation with Bahrain Polytechnic and her research association with Machine Learning. Her reported 21 documents, 700 citations and h-index of 6 provide a measurable overview of her scholarly record.
External Links
References
- Elsevier. (n.d.). Scopus author details: Gousia Habib, Author ID 57221589277. Scopus.
Scopus Author Record
- Google Scholar. (n.d.). Gousia Habib – Google Scholar Profile.
Google Scholar Profile