Confidence Nthebe | Data Analysis Techniques | Innovative Research Award

Published on by Global Energy Awards

 

 

Innovative Research Award

Confidence Nthebe
North-West University

Confidence Nthebe
Affiliation North-West University
Country South Africa
Google Scholar ID sUf0SCUAAAAJ
Documents 4
Citations 29
h-index 2
Subject Area Data Analysis Techniques
Event Global Energy Awards
ORCID 0000-0003-2476-2221

Confidence Nthebe is a researcher affiliated with North-West University in South Africa whose documented scholarly profile is associated with the subject area of Data Analysis Techniques. The available profile information records 4 documents, 29 citations, and an h-index of 2. These bibliometric indicators provide a quantitative description of the research output represented in the available scholarly profile and should be interpreted in relation to publication field, career stage, database coverage, and citation practices. [1]

Abstract

This article presents an academic recognition profile for Confidence Nthebe, a researcher affiliated with North-West University, South Africa, in the area of Data Analysis Techniques. The profile summarizes available bibliometric information, research orientation, publication record, research impact indicators, and the relevance of the documented scholarly activity to the Innovative Research Award associated with the Global Energy Awards. The available profile records 4 documents, 29 citations, and an h-index of 2. [1] Bibliometric indicators are presented as descriptive measures rather than as standalone assessments of research quality, since citation counts and publication records can vary by discipline, database coverage, publication age, and research context.

Keywords

Data Analysis Techniques; Data Analysis; Research Analytics; Quantitative Analysis; Statistical Analysis; Scientific Data; Data Interpretation; Research Methods; Analytical Methods; Data-Driven Research; Scholarly Research; Research Impact; Bibliometrics; Research Evaluation; Academic Analytics

Introduction

Data analysis techniques encompass systematic approaches for collecting, processing, examining, interpreting, and communicating information derived from research data. Such techniques are used across scientific and applied disciplines to identify patterns, evaluate relationships, test hypotheses, assess uncertainty, and support evidence-based conclusions. The development and application of appropriate analytical methods form an important component of contemporary research practice.

Research Profile

The available research profile places Confidence Nthebe within the broad methodological domain of Data Analysis Techniques. This area includes analytical procedures used to transform research observations into interpretable evidence. Depending on the research question and dataset, such work may involve descriptive analysis, statistical evaluation, quantitative modelling, data visualization, validation procedures, and other structured analytical approaches.The researcher is also associated with ORCID identifier 0000-0003-2476-2221, which provides a persistent identifier for distinguishing an individual researcher from other authors with similar names. [3]

Research Contributions

The documented subject area of Data Analysis Techniques indicates an academic orientation toward analytical approaches used in research. Based on the information supplied, the profile can be situated within methodological research activities involving the organization and interpretation of quantitative or structured research information. However, the available data do not provide sufficient evidence to attribute specific methodological innovations, datasets, algorithms, or individual research findings without consulting the underlying publications.

Publications

The supplied profile records 4 documents. The information provided for this article does not include the individual publication titles, journal names, publication dates, author lists, or article-level DOI identifiers. Consequently, specific publication claims and DOI assignments are not inferred here. The researcher’s public Google Scholar profile may be consulted for the current publication record. [2]

Research Impact

The supplied bibliometric record indicates 29 citations associated with 4 documents and an h-index of 2. These indicators provide a compact quantitative representation of the documented scholarly footprint. [2] Citation counts can be influenced by publication age, field-specific citation behavior, database indexing, collaboration patterns, and the visibility of individual publications. They should therefore be considered alongside substantive research evaluation.

Award Suitability

The Innovative Research Award profile is associated with the Global Energy Awards and considers the supplied research information in the context of scholarly recognition. The documented alignment with Data Analysis Techniques provides a methodological basis for considering the researcher’s work within an innovation-oriented research recognition framework. [4]

Conclusion

Confidence Nthebe is affiliated with North-West University in South Africa and is identified in the supplied information with the subject area of Data Analysis Techniques. The available scholarly profile records 4 documents, 29 citations, and an h-index of 2. These indicators establish a concise bibliometric profile but should not be interpreted independently of publication-level evidence and disciplinary context. The Innovative Research Award recognition profile therefore provides a structured summary of the available research information while maintaining a distinction between documented bibliometric evidence and broader qualitative claims about research contribution.

References

  1. Google Scholar. (2026). Confidence Nthebe — Google Scholar author profile.https://scholar.google.com/citations?user=sUf0SCUAAAAJ&hl=en
  2. Google Scholar. (2026). Google Scholar Citations — Teboho Mosikari, https://scholar.google.com/citations?view_op=view_citation&hl=en&user=sUf0SCUAAAAJ&citation_for_view=sUf0SCUAAAAJ:u5HHmVD_uO8C
  3. ORCID. (2026). ORCID record: Confidence Nthebe, ORCID iD 0000-0003-2476-2221. ORCID.https://orcid.org/0000-0003-2476-2221
  4. Global Energy Awards. (2026). Global Energy Awards — Official Website.https://globalenergyawards.org/

 

Effrosyni Sapardani | Data Analysis Techniques | Women Researcher Award

Published on by Global Energy Awards

 

Women Researcher Award

Effrosyni Sapardani
University Of Western Macedonia

Effrosyni Sapardani
Affiliation University Of Western Macedonia
Country Greece
Google Scholar ID dVcF6kMAAAAJ
Documents 3
Citations 5
h-index 1
Subject Area Data Analysis Techniques
Event Global Energy Awards
ORCID 0000-0002-9237-0038

Effrosyni Sapardani is a researcher affiliated with the UNIVERSITY OF WESTERN MACEDONIA in Greece, with a research profile associated with Data Analysis Techniques. Her scholarly record includes three documents and five citations, with a reported h-index of 1. These bibliometric indicators provide a concise representation of her indexed research output and citation activity and may be considered alongside the substantive quality, relevance, and contribution of individual research works. [1]

Abstract

The Women Researcher Award recognition profile for Effrosyni Sapardani presents an academic overview of her affiliation with the UNIVERSITY OF WESTERN MACEDONIA and her research classification in Data Analysis Techniques. Available scholarly-profile information records three documents, five citations, and an h-index of 1. [1] The profile is intended to summarize publicly identifiable research indicators while distinguishing bibliometric measures from qualitative assessment of scientific contribution.

Keywords

Data Analysis, Data Analysis Techniques, Research Analytics, Quantitative Analysis, Scientific Data, Research Methods, Academic Research, Scholarly Communication

Introduction

Data analysis techniques encompass systematic approaches for collecting, processing, examining, interpreting, and communicating information derived from research data. Within contemporary scientific research, analytical methods support the identification of patterns, evaluation of evidence, validation of hypotheses, and development of reproducible conclusions. Researchers working with data-oriented methods may employ statistical procedures, computational workflows, visualization techniques, or other analytical frameworks according to the requirements of their investigations.

Research Profile

Sapardani’s available research profile is characterized by a focus on Data Analysis Techniques. The reported scholarly indicators comprise three documents, five citations, and an h-index of 1. [1] These values should be interpreted as descriptive indicators rather than as standalone measures of research quality. Citation counts can vary according to indexing coverage, publication age, disciplinary citation practices, and differences between scholarly databases.

Research Contributions

The available information supports describing Sapardani’s academic profile in relation to data-oriented research and analytical methods. Data analysis contributes to scientific inquiry by transforming observations or measurements into structured evidence that can be evaluated systematically. In research environments, the appropriate selection and application of analytical techniques can influence the reliability, interpretability, and reproducibility of results.

Publications

The supplied profile records three documents. A complete publication-level bibliography should be obtained directly from the researcher’s current scholarly profile because publication metadata, titles, author lists, journal information, and citation counts may change as indexing services are updated. [2]

Research Impact

The reported citation count and h-index provide quantitative indicators of scholarly visibility. With five citations across three reported documents and an h-index of 1, the available profile indicates an emerging citation record. [1] Such indicators are most appropriately considered together with publication quality, methodological rigor, relevance to the field, collaboration, research context, and the age of the publications.

Award Suitability

The Women Researcher Award profile associated with the Global Energy Awards provides a framework for recognizing research activity by women researchers across relevant scientific and technical disciplines. Sapardani’s affiliation with the UNIVERSITY OF WESTERN MACEDONIA, classification in Data Analysis Techniques, and documented scholarly activity provide identifiable elements for consideration within an academic recognition process.

Conclusion

Effrosyni Sapardani is a researcher affiliated with the UNIVERSITY OF WESTERN MACEDONIA, Greece, whose supplied academic profile is associated with Data Analysis Techniques. The reported record comprises three documents, five citations, and an h-index of 1. [1] These indicators provide a concise quantitative description of her current scholarly profile and can be considered alongside publication-level evidence and expert evaluation when assessing research contributions.

References

  1. Google Scholar. (2026.). Effrosyni Sapardani, Google Scholar author profile, ID dVcF6kMAAAAJ. Google Scholar.
    https://scholar.google.com/citations?view_op=list_works&hl=el&hl=el&user=dVcF6kMAAAAJ
  2. ORCID. (2026). Effrosyni Sapardani, ORCID record 0000-0002-9237-0038. ORCID.
    https://orcid.org/0000-0002-9237-0038
  3. Global Energy Awards. (2026). Global Energy Awards.
    https://globalenergyawards.org/