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

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.

External Links

• • ORCID Profile
  • Google Scholar Author Profile
  • DOI Search
  • Global Energy Awards

References

1. 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/