Narjes Sadeghiamirshahidi | Data Science and Analytics | Research Excellence Award

Published on by Best Achievements

Research Excellence Award

Narjes Sadeghiamirshahidi
Northwestern University

Narjes Sadeghiamirshahidi
Affiliation Northwestern University
Country United States
Scopus ID 56048036300
Documents 9
Citations 162
h-index 4
Subject Area Data Science and Analytics
Event Global Best Achievements Awards
ORCID 0009-0002-0878-2126

Narjes Sadeghiamirshahidi is a researcher affiliated with Northwestern University whose documented scholarly profile is associated with Data Science and Analytics. The Research Excellence Award recognizes research activity demonstrating methodological development, scholarly communication, and potential contribution to evidence-based data-driven practice. The profile records nine documents, 162 citations, and an h-index of 4, providing quantitative indicators for contextualizing the researcher’s publication and citation record. [1]

Abstract

Narjes Sadeghiamirshahidi is a researcher affiliated with Northwestern University whose scholarly record is situated within Data Science and Analytics. Her indexed profile records nine documents, 162 citations, and an h-index of 4, providing measurable indicators of research dissemination and citation visibility. The Research Excellence Award profile considers these bibliometric indicators alongside the broader relevance, methodological quality, and potential application of data-oriented research. The documented affiliation, researcher identifiers, and publication metrics provide a structured basis for academic recognition while supporting transparent verification through established scholarly platforms, including Scopus and ORCID. [1] [2]

Keywords

Research Excellence Award, Narjes Sadeghiamirshahidi, Data Science and Analytics, Northwestern University, scholarly research, bibliometrics, research impact, data analytics, Scopus, ORCID.

Introduction

Data Science and Analytics combines statistical reasoning, computational methods, data management, and domain-specific interpretation to transform complex datasets into useful evidence. Contemporary research in this field frequently emphasizes reproducibility, methodological rigor, responsible analysis, and practical relevance. Scholarly indexing services provide complementary mechanisms for documenting publication activity and citation patterns, while persistent identifiers such as ORCID help distinguish researchers and connect scholarly outputs to an individual academic record. [2] [3]

Research Profile

The available researcher profile identifies Narjes Sadeghiamirshahidi with Northwestern University and the subject area of Data Science and Analytics. The associated Scopus author identifier is 56048036300, while the ORCID identifier is 0009-0002-0878-2126. The recorded bibliometric profile contains nine documents, 162 citations, and an h-index of 4. These indicators should be interpreted as descriptive measures of indexed scholarly activity rather than as standalone measures of research quality. [1] [2]

Research Contributions

Research contributions in Data Science and Analytics may be evaluated through the development or application of analytical methods, the quality of empirical evidence, the clarity of computational workflows, and the relevance of findings to scientific or professional questions. Within this recognition profile, Sadeghiamirshahidi’s documented scholarly activity provides an evidence base for considering research engagement and dissemination. Detailed assessment should remain grounded in the underlying publications, their methodologies, venues, and independently verifiable scholarly records.

Publications

The indexed record associated with the researcher contains nine documents. Publication counts can provide a useful overview of documented scholarly activity, but they do not by themselves establish the significance or originality of individual studies. A comprehensive academic assessment considers publication content, authorship, venue quality, methodological transparency, citation context, and the extent to which research findings contribute to knowledge. The Scopus author record provides a primary source for reviewing the indexed publication profile. [1]

Research Impact

The documented citation count of 162 and h-index of 4 indicate that the researcher’s indexed publications have received scholarly attention. Citation indicators are influenced by disciplinary practices, publication age, collaboration patterns, and database coverage, and therefore require contextual interpretation. ORCID further supports the organization of scholarly identity and research outputs through a persistent researcher identifier. [2] [3]

Award Suitability

The Research Excellence Award profile is aligned with documented scholarly activity in Data Science and Analytics. Relevant evidence includes the researcher’s institutional affiliation, indexed publication record, citation activity, persistent identifiers, and the broader scientific relevance of the documented research. Award suitability should be determined through a balanced review of research quality, originality, contribution, scholarly communication, and verifiable evidence rather than relying exclusively on bibliometric indicators. The Global Best Achievements Awards provides the stated event context for this recognition.

Conclusion

Narjes Sadeghiamirshahidi’s documented academic profile reflects research activity associated with Northwestern University and Data Science and Analytics. Nine indexed documents, 162 citations, and an h-index of 4 provide measurable indicators of scholarly dissemination. Together with Scopus and ORCID identifiers, these records establish a structured basis for academic profile verification and recognition. The Research Excellence Award therefore provides a framework for acknowledging documented research engagement while maintaining emphasis on evidence, methodological quality, and scholarly contribution.

References

  1. Elsevier. (n.d.). Scopus author details: Narjes Sadeghiamirshahidi, Author ID 56048036300. Scopus.
    https://www.scopus.com/pages/authors/56048036300
  2. ORCID. (n.d.). ORCID record: Narjes Sadeghiamirshahidi. ORCID.
    https://orcid.org/0009-0002-0878-2126
  3. Agricultural Systems. (2021). Resilient regional food supply chains and rethinking the way forward: Key takeaways from the COVID-19 pandemic.
    https://doi.org/10.1016/j.agsy.2021.103101
  4. Narjes Sadeghiamirshahidi, Jafar Afshar, Ali Reza Firouzi, SAHS Hassan. (2014). Improving the Efficiency of Manufacturing Supply Chain Using System Dynamic Simulation.
    https://doi.org/10.11113/JT.V69.3120
  5. Global Best Achievements Awards. (2026). Global Best Achievements Awards.
    https://bestachievements.com/

Farooq Aziz | Data Science and Analytics | Industry Impact Award

Published on by Best Achievements

Industry Impact Award

Farooq Aziz
Affiliation Systems Limited
Country Pakistan
Google Scholar YAdsqIAAAAJ&hl
Documents 12
Citations 60
h-index 2
Subject Area Data Science and Analytics
Event Global Best Achievements Awards

Farooq Aziz

Systems Limited

Farooq Aziz is associated with Systems Limited and has contributed to research in data science, analytics, business intelligence, and applied data-driven decision making. His scholarly publications explore the application of analytical methodologies across accounting, healthcare, sustainability, and business domains. The interdisciplinary nature of his work reflects an emphasis on practical implementation of data analytics for organizational performance and digital transformation while contributing to contemporary academic discussions within emerging analytical disciplines.[1]

Abstract

Farooq Aziz has established a developing academic profile through research focused on data science, analytics, business intelligence, sustainability, accounting, and healthcare applications. His publications demonstrate an interdisciplinary perspective that connects analytical methodologies with organizational decision making and technological innovation. The available scholarly indicators reflect continuing research activity supported by peer-reviewed publications and measurable citation performance. Collectively, his work emphasizes practical implementation, digital transformation, and evidence-based management while contributing to contemporary discussions surrounding analytical frameworks, emerging technologies, and industry-oriented research with relevance for both academic communities and professional practice.[1]

Keywords

Data Science, Data Analytics, Business Intelligence, Business Analytics, Digital Transformation, Sustainability, Healthcare Analytics, Accounting Analytics, Decision Support, Industry Applications.

Introduction

The growing adoption of analytical technologies has increased the importance of research that bridges academic knowledge with industrial implementation. Farooq Aziz contributes within this evolving landscape by examining how analytical tools improve business intelligence, accounting systems, sustainability reporting, and healthcare management. His research reflects an applied orientation that aligns theoretical concepts with practical organizational challenges while supporting informed decision making across multiple sectors.[2]

Research Profile

The research profile of Farooq Aziz demonstrates interdisciplinary engagement in analytical sciences with publications addressing accounting analytics, healthcare data platforms, sustainability frameworks, and business intelligence. His scholarly output illustrates continued participation in contemporary research themes supported by measurable publication records, citation activity, and an academic focus on integrating data-driven methodologies into organizational environments and professional decision-making processes.[1]

Research Contributions

His contributions primarily emphasize the application of advanced analytics to solve practical organizational problems. Research themes include accounting innovation, sustainable reporting, healthcare analytics, and business intelligence supported by modern data science approaches. These studies encourage evidence-based decision making while illustrating how analytical technologies can improve operational efficiency, strategic planning, and organizational adaptability across diverse industrial sectors.[2]

Publications

Among his representative publications are studies examining data analytics in accounting, data-driven sustainability frameworks, and next-generation healthcare analytics. These publications demonstrate consistent interest in emerging analytical technologies and their practical implementation. Collectively, they contribute to expanding academic understanding of modern analytical ecosystems while supporting interdisciplinary collaboration between industry and research communities.[3]

Research Impact

Available scholarly indicators report twelve indexed publications, sixty citations, and an h-index of two, reflecting growing academic visibility. Although still developing, these metrics indicate measurable engagement from the scholarly community. The practical orientation of his research also supports industrial relevance by promoting analytical solutions applicable to business operations, sustainability initiatives, and digital transformation strategies.[1]

Award Suitability

Based on the available academic profile, Farooq Aziz demonstrates characteristics that align with consideration for an Industry Impact Award through his emphasis on practical data science applications and interdisciplinary research. His publications focus on translating analytical innovations into organizational value, particularly within accounting, sustainability, and healthcare domains. The combination of scholarly output, applied research direction, and measurable academic recognition provides a reasonable basis for consideration under an industry-oriented research award category while remaining subject to the official evaluation criteria established by the Global Best Achievements Awards.[1]

Conclusion

Farooq Aziz has developed an interdisciplinary research portfolio centered on the practical application of data science and analytics. His work contributes to understanding how analytical technologies support organizational performance, sustainability, healthcare, and business intelligence. Continued scholarly activity and future publications may further strengthen the academic and industrial significance of his research while expanding its influence across emerging fields of applied analytics.

References

  1. Google Scholar. (n.d.). Farooq Aziz – Scholar Profile.
    https://scholar.google.com/citations?user=-YAdsqIAAAAJ&hl=en
  2. Aziz, F. (2023). Data analytics impacts in the field of accounting. World Journal of Advanced Research and Reviews.
    https://doi.org/10.30574/wjarr.2023.18.2.0863
  3. Next-Generation Healthcare Analytics: The Open Lakehouse Framework.
    https://dx.doi.org/10.2139/ssrn.5065660