Best Researcher Award
Basak Gok
Gazi University
Basak Gok is a researcher affiliated with Gazi University, Turkey, whose academic profile is associated with Green Information Technology (Green IT). Her research profile includes scholarly publications and citation activity indexed in Scopus. The Best Researcher Award recognizes researchers whose academic contributions, research development, and commitment to advancing knowledge demonstrate professional and scholarly value. Her profile is presented in connection with the International Invention Awards, with attention to research documentation, academic visibility, and the relevance of her subject area to sustainable technological development. [1] [2]
Abstract
This article presents the academic research profile of Basak Gok, a researcher affiliated with Gazi University in Turkey, whose subject area is Green Information Technology. Her scholarly profile is represented through Scopus-indexed research records, including four documents, one citation, and an h-index of one, according to the supplied profile information. The article outlines her research background, publication record, academic visibility, and potential relevance to sustainable technological development. It also discusses the significance of her research profile in relation to the Best Researcher Award under the International Invention Awards, emphasizing documented scholarly activity and research contributions.
Keywords
Basak Gok; Best Researcher Award; Green Information Technology; Green IT; Gazi University; academic research; sustainable technology; research publications; Scopus; scholarly impact; International Invention Awards; environmental sustainability.
Introduction
Research excellence is demonstrated through the systematic development of knowledge, scholarly communication, and contributions to relevant academic disciplines. In the context of Green Information Technology, research is important for examining how information and communication technologies can support environmental sustainability, resource efficiency, and responsible technological development. Researchers working in this area contribute to discussions about the environmental implications of digital systems and the potential for more sustainable technological practices. [3]
Research Profile
Basak Gok’s research profile is associated with Gazi University, a higher education institution in Turkey. Her identified subject area is Green Information Technology, a multidisciplinary field connecting information systems, environmental responsibility, sustainable computing, and technological innovation. Her Scopus Author ID, 57224541615, provides a researcher-specific identifier for accessing indexed scholarly records. Her ORCID identifier, 0000-0002-8687-5961, provides an additional persistent digital identifier that supports the identification and distinction of her academic contributions across research platforms. [1] [2]
Research Contributions
Green Information Technology explores approaches to reducing the environmental impact of information technology infrastructure, digital operations, and computing resources. Research in this discipline may address energy-efficient systems, sustainable information management, environmentally responsible digital transformation, and the relationship between technological innovation and ecological objectives. These themes provide an important academic framework for examining the contribution of research to sustainable development. [3]
Publications
The supplied Scopus profile information records four scholarly documents associated with Basak Gok These indexed documents constitute the available publication record for describing her academic research activity. Scopus provides bibliographic information and citation-related indicators that support the discovery and evaluation of scholarly publications. [1]
Research Impact
The supplied bibliometric information records one citation and an h-index of one for Basak Gok, alongside four indexed documents. These indicators provide a quantitative overview of the visibility and citation activity associated with her Scopus author profile. The h-index represents the relationship between publication productivity and citation performance, while citation counts indicate recorded references to scholarly work within the relevant indexing database. [1]
Award Suitability
The Best Researcher Award recognizes scholarly activity, research development, and contributions to academic knowledge. Basak Goks affiliation with Gazi University, identified Green IT subject area, and documented Scopus publication profile provide relevant information for consideration within this recognition category. Her researcher identifiers also support the verification and organization of academic records during the evaluation process. [1] [2]
Conclusion
Basak Gok’s academic profile reflects research activity associated with Gazi University in Turkey and the subject area of Green Information Technology. Her available Scopus information records four documents, one citation, and an h-index of one, while her Scopus and ORCID identifiers provide pathways for identifying her scholarly records. These details establish a preliminary overview of her academic presence. The Best Researcher Award profile recognizes the importance of documented research activity and the continued development of knowledge in sustainable technology. A comprehensive evaluation should consider the full content, quality, originality, and relevance of her published research.
External Links
References
- Elsevier. (n.d.). Scopus author details: Basak Gok Author ID 57224541615.
https://www.scopus.com/authid/detail.uri?authorId=57224541615
- ORCID. (n.d.). Basak Gok : ORCID researcher record 0000-0002-8687-5961.
https://orcid.org/0000-0002-8687-5961
- Journal article. (2026.) The hidden carbon cost of digital visibility: a socio-technical view of university sustainability and digital carbon performance.
https://doi.org/10.1007/s43621-026-05203-4
- International Invention Awards. (2026.). Official awards website.
https://inventionawards.org/
- Journal article. (2025.). Automatic Detection of Disinformation: A Systematic Mapping Study.
https://doi.org/10.2339/politeknik.1307037