Isaac Agholor | Data Analysis Techniques | Research Excellence Award

Published on by Global Energy Awards

 

Research Excellence Award

Isaac Agholor
University of Mpumalanga

Isaac Agholor
Affiliation University of Mpumalanga
Country South Africa
Google Scholar ID Escf1MkAAAAJ
Documents 101
Citations 1,092
h-index 18
Subject Area Data Analysis Techniques
Event Global Energy Awards
ORCID 0000-0001-8559-0246

Isaac Agholor is a researcher affiliated with the University of Mpumalanga in South Africa, whose scholarly profile is associated with the subject area of Data Analysis Techniques. The available bibliometric information records 101 documents, 1,092 citations, and an h-index of 18. These indicators provide a quantitative overview of the visibility and citation impact of the research output represented in the supplied profile. [1]

Abstract

This article presents a structured academic recognition profile for Isaac Agholor of the University of Mpumalanga, South Africa. The profile identifies Data Analysis Techniques as the stated subject area and summarizes the supplied bibliometric indicators of 101 documents, 1,092 citations, and an h-index of 18. The information is presented in the context of the Research Excellence Award associated with the Global Energy Awards. Bibliometric indicators are descriptive measures of scholarly output and citation activity and should be interpreted alongside the substantive quality, originality, relevance, and contribution of individual research works. [1]

Keywords

Data Analysis Techniques, Data Analytics, Statistical Analysis, Quantitative Research, Research Analytics, Bibliometrics, Research Impact, Scholarly Communication

Introduction

Data analysis encompasses methods used to organize, examine, interpret, and communicate information derived from structured or unstructured datasets. In academic research, analytical techniques can support empirical investigation, quantitative interpretation, evidence synthesis, and evaluation of research outcomes. The supplied researcher information places Isaac Agholor within the subject area of Data Analysis Techniques and associates the profile with the University of Mpumalanga in South Africa.

Research Profile

The supplied profile reports 101 documents and 1,092 citations, together with an h-index of 18. These figures indicate a measurable body of indexed scholarly output and citation activity. The h-index is intended to summarize productivity and citation impact through a combined measure: a researcher has an h-index of h when h publications have each received at least h citations. Because bibliometric indicators can vary according to database coverage, indexing practices, and update dates, such values should be considered time-dependent rather than permanent characteristics of a research record. [4]

Research Contributions

Based on the supplied subject classification, the research profile is relevant to Data Analysis Techniques. The field incorporates methodological approaches for extracting meaningful information from data, evaluating empirical patterns, supporting quantitative reasoning, and communicating analytical findings. Specific research contributions should be assessed from the individual publications, research questions, datasets, methods, validation procedures, and scholarly influence of the relevant works rather than inferred solely from bibliometric totals.

Publications

The supplied information records 101 documents associated with the researcher profile. No individual publication titles, journal metadata, publication years, or DOI identifiers were provided in the source data. Accordingly, this section does not attribute specific findings or publications to the researcher without additional bibliographic verification.

Research Impact

The reported 1,092 citations and h-index of 18 provide quantitative indicators of the citation activity associated with the supplied researcher profile. Citation counts can be useful for contextualizing scholarly visibility, but they do not independently measure research quality or societal significance. Citation practices differ substantially between disciplines, publication types, geographic research communities, and periods of scholarly activity. [3]

Award Suitability

The supplied profile is presented in connection with the Research Excellence Award under the Global Energy Awards. On the available information, the researcher has an established scholarly record in the stated area of Data Analysis Techniques, supported by the reported publication and citation indicators. These characteristics may provide relevant evidence for an academic recognition process, subject to the award’s formal eligibility requirements and independent evaluation criteria.

Conclusion

Isaac Agholor is identified in the supplied information as a researcher at the University of Mpumalanga in South Africa, with Data Analysis Techniques listed as the subject area. The profile reports 101 documents, 1,092 citations, and an h-index of 18. Together, these indicators describe a substantial recorded body of scholarly output and citation activity. The Research Excellence Award profile should nevertheless be interpreted as a structured recognition summary rather than as an independent assessment of research quality. Verification of the underlying publications and consideration of qualitative scholarly contributions remain important components of responsible academic evaluation.

References

    1. Elsevier. (2026). Scopus author and citation information. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57205495252
    2. ORCID. (2026). ORCID: Connecting research and researchers.
      https://orcid.org/0000-0001-8559-0246
    3. Google Scholar. (2026). Google Scholar Citations.
      https://scholar.google.com/citations?user=Escf1MkAAAAJ&hl=en
    4.  Global Energy Awards. (2026). Global Energy Awards official website.
      https://globalenergyawards.org/

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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/