Excellence in Innovation Award
Jareh Alotaibi
King Saud University
Jareh Alotaibi is an academic researcher affiliated with King Saud University whose documented scholarly profile is associated with the interdisciplinary area of Media and Artificial Intelligence, broadly corresponding to media and artificial intelligence. The available research record indicates an emerging scholarly contribution supported by an indexed publication and citation activity. Within this context, the Excellence in Innovation Award recognizes research-oriented work that demonstrates meaningful application of innovative ideas, technologies, or methodologies. The assessment of suitability should consider the substance and originality of the research alongside its documented academic impact rather than relying exclusively on bibliometric indicators.
Abstract
Jareh Alotaibi of King Saud University, Saudi Arabia, is associated with research at the intersection of media and artificial intelligence, represented in the supplied subject classification as Media and Artificial Intelligence. The available scholarly record identifies one Scopus-indexed document, three citations, and an h-index of one, providing an initial bibliometric indication of research visibility. [1] The researcher’s profile is relevant to innovation-focused recognition because contemporary media research increasingly incorporates artificial intelligence, computational methods, and technology-enabled approaches. The Excellence in Innovation Award provides a framework for recognizing research demonstrating originality, practical relevance, methodological development, or meaningful interdisciplinary integration within this evolving field.
Keywords
Jareh Alotaibi, Excellence in Innovation Award, King Saud University, media and artificial intelligence, artificial intelligence, media research, research innovation, interdisciplinary research, academic recognition.
Introduction
The convergence of media studies and artificial intelligence has created an expanding interdisciplinary research environment involving automated systems, digital communication, intelligent information processing, computational analysis, and emerging media technologies. Research in this area can contribute to both theoretical understanding and technology-enabled applications. Jareh Alotaibi’s affiliation with King Saud University places the researcher within a major Saudi academic environment, while the supplied subject area identifies a connection between media and artificial intelligence. The documented Scopus record provides a basis for examining the researcher’s scholarly activity and potential relevance to innovation-oriented academic recognition. [1]
Research Profile
Jareh Alotaibi is affiliated with King Saud University in Saudi Arabia and is represented in the supplied academic data by the subject area Media and Artificial Intelligence. This interdisciplinary orientation connects communication and media questions with artificial intelligence, a field characterized by rapidly developing computational techniques and applications. The available record should be interpreted as an emerging research profile rather than as a comprehensive account of the researcher’s complete academic career. The identified publication activity and citation record establish a documented scholarly presence, while detailed evaluation of individual research works should focus on their research questions, methodology, originality, findings, and relevance to the broader field.
Research Contributions
The researcher’s contribution can be considered within the broader development of artificial intelligence applications in media and communication research. Work in this interdisciplinary domain may address intelligent content analysis, digital media technologies, automated information processing, computational approaches to communication, or the effects of AI-enabled systems on media practices. The available bibliometric record confirms a published research contribution but does not provide sufficient evidence to attribute specific methodologies or findings beyond the supplied subject classification. Accordingly, the academic significance of the research should be assessed from the underlying publication and its demonstrated methodological, conceptual, or applied contribution.
Publications
The supplied Scopus information records one document associated with Jareh Alotaibi and identifies three citations. [1] Because the provided data do not specify the publication title, journal, year, authorship position, or DOI, those details are not inferred here. A complete publication assessment should examine the indexed work itself, including its research objective, literature foundation, methodological approach, results, originality, and relevance to media and artificial intelligence. The documented publication nevertheless provides an identifiable scholarly basis for evaluating the researcher’s emerging contribution.
Research Impact
Research impact may be evaluated through a combination of scholarly visibility, citation activity, methodological influence, practical applicability, and contribution to the development of an academic field. The supplied profile reports three citations and an h-index of one, indicating that the documented publication has received measurable scholarly attention. [1] For an interdisciplinary subject such as media and artificial intelligence, impact can also extend beyond conventional citation measures through technology adoption, interdisciplinary collaboration, professional application, and contribution to discussions concerning responsible and effective use of artificial intelligence in media environments.
Award Suitability
Jareh Alotaibi’s documented affiliation, publication record, and interdisciplinary subject area provide a reasonable academic context for consideration under an Excellence in Innovation Award. The connection between media and artificial intelligence is particularly relevant to innovation because it brings together rapidly developing computational technologies and established areas of communication and media research. Final award suitability should, however, be determined through the applicable nomination and evaluation process, with emphasis on the originality, significance, rigor, and demonstrable contribution of the submitted research rather than bibliometric indicators alone. [2]
Conclusion
Jareh Alotaibi represents an emerging scholarly profile associated with King Saud University and research at the intersection of media and artificial intelligence. The available record documents one Scopus-indexed publication, three citations, and an h-index of one. [1] These indicators establish a measurable research presence, while the interdisciplinary nature of the subject area provides a relevant context for innovation-focused recognition. A comprehensive academic assessment should ultimately consider the substance and originality of the researcher’s work, its methodological quality, relevance to contemporary challenges, and evidence of scholarly or practical contribution.
External Links
References
- Elsevier. (n.d.). Scopus author details: Jareh Alotaibi, Author ID 59379163600. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=59379163600
- Global Best Achievements Awards. (2026). Awards and recognition platform.
https://bestachievements.com/
- Digital communication in Middle East cultural institutions: developing a theoretical framework for the use of digital platforms.
https://doi.org/10.1057/s41599-025-06345-y