Innovative Research Award
Mehmet Tahir Uçar
Dicle University
Mehmet Tahir Uçar is affiliated with Dicle University in Turkey and is associated with research in the area of data analysis techniques. The available bibliometric information records 3 documents, 6 citations, and an h-index of 1. These indicators provide a concise quantitative view of the research record and should be interpreted in relation to publication age, disciplinary practices, collaboration patterns, and database coverage.[1]
Abstract
This academic recognition profile presents the research record of Mehmet Tahir Uçar of Dicle University, Turkey, with particular emphasis on Data Analysis Techniques. The profile summarizes available bibliometric indicators, research orientation, publication activity, and the relevance of analytical research to broader scientific and energy-related research environments. Bibliometric measures such as publication counts, citation counts, and h-index values are commonly used as descriptive indicators of scholarly activity, although they do not independently measure the full quality or significance of research contributions.[1]
Keywords
Data Analysis Techniques, Research Analytics, Data Interpretation, Quantitative Research, Scientific Data Analysis, Research Methodology, Energy Research Analytics
Introduction
Data analysis techniques form an important methodological component of contemporary scientific research. They provide frameworks for organizing observations, identifying patterns, evaluating relationships, and communicating evidence derived from quantitative or qualitative datasets. The selection of an analytical technique generally depends on the characteristics of the data, the research question, assumptions of the method, and the intended interpretation of results.[1]
Research Profile
Mehmet Tahir Uçar is associated with Dicle University and has a stated subject-area focus in Data Analysis Techniques. The supplied research indicators comprise 3 documents, 6 citations, and an h-index of 1. These values represent the bibliometric information supplied for this recognition profile and should not be treated as a comprehensive assessment of an academic career.[1]
Research Contributions
The reported subject-area specialization places analytical methodology at the center of the research profile. Research contributions in this broad area may involve the development or application of analytical procedures for extracting interpretable evidence from datasets. Depending on the research context, such approaches can include statistical evaluation, exploratory data analysis, predictive modeling, visualization, classification, and other structured methods for examining scientific information.[2]
Publications
The supplied profile records 3 documents associated with the researcher. Because individual publication titles, journals, publication years, and DOI identifiers were not supplied, this article does not assign specific publications or DOI numbers to the researcher without independent bibliographic verification. The document count is therefore presented as a profile-level indicator rather than as a detailed publication bibliography.[3]
Research Impact
The supplied bibliometric profile reports 6 citations and an h-index of 1. Citation indicators describe the extent to which indexed scholarly outputs have been cited within the relevant database and time period. Citation counts can vary between databases and disciplines and may change as additional publications are indexed and subsequently cited.[1]
Award Suitability
The Innovative Research Award is presented here as an academic recognition context associated with the Global Energy Awards. Uçar’s stated subject area of Data Analysis Techniques provides a methodological connection to interdisciplinary research environments in which structured data interpretation can support scientific and energy-related investigations.[2]
Conclusion
Mehmet Tahir Uçar of Dicle University, Turkey, is presented in this profile as a researcher associated with Data Analysis Techniques. The supplied record identifies 3 documents, 6 citations, and an h-index of 1. These indicators provide a concise snapshot of the available indexed research record, while the broader significance of the work requires consideration of individual publications, methodological rigor, originality, and research relevance.[4]
External Links
References
- Elsevier. (2026). Google Scholar: Abstract and citation database..
https://scholar.google.com/citations?user=I9UTaUgAAAAJ&hl=tr
- Mehmet Tahir Ucar, (2005).Modelling events that change over time is one of the most difficult problems in data analysis.
https://scholar.google.com/citations?view_op=view_citation&hl=tr&user=I9UTaUgAAAAJ&citation_for_view=I9UTaUgAAAAJ:u-x6o8ySG0sC
- ORCID. (2026). ORCID record for Mehmet Tahir Uçar.
https://orcid.org/0000-0002-6783-9287
- Global Energy Awards. (2026). Global Energy Awards official website.
https://globalenergyawards.org/