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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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/