SUPRIYA KRISHNAN | Human Resources Analytics | Innovative Research Award

Innovative Research Award

SUPRIYA KRISHNAN  – Patna University, India

SUPRIYA KRISHNAN
Affiliation Patna University
Country India
Scopus ID 15136325100
Documents 13
Citations 483
h-index 7
Subject Area Human Resources Analytics
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-0710-7076

SUPRIYA KRISHNAN is associated with Patna University and has an academic research profile connected with Human Resources Analytics. The available scholarly indicators, including publications, citations and h-index, provide a measurable basis for evaluating research visibility, contribution and suitability for academic recognition through the Innovative Research Award. [1]

Abstract

This article presents an academic overview of SUPRIYA KRISHNAN in relation to the Innovative Research Award. The profile considers affiliation, research specialization, publication activity and citation indicators. Available bibliometric information is used to describe scholarly visibility and research relevance within Human Resources Analytics. [2]

Keywords

Innovative Research Award; SUPRIYA KRISHNAN; Patna University; Human Resources Analytics; research data analysis; bibliometric indicators; scholarly publications; research impact; academic excellence. [3]

Introduction

The Innovative Research Award recognizes scholarly activity demonstrating relevance, methodological engagement and measurable academic contribution. SUPRIYA KRISHNAN’s profile is examined through available bibliometric indicators and research specialization in Human Resources Analytics. Such evaluation provides a structured perspective on publication output, citation visibility and potential contribution to data-driven research. [1]

Research Profile

SUPRIYA KRISHNAN is affiliated with Patna University, India, with research interests associated with Human Resources Analytics. The available Scopus profile records 13 documents, 483 citations and an h-index of 7. These indicators provide a concise representation of documented scholarly productivity and citation-based research visibility.[2]

Research Contributions

The research profile reflects engagement with analytical approaches relevant to human resource management and organizational decision-making. Contributions in Human Resources Analytics may support evidence-based understanding of workforce-related issues through systematic research and data interpretation. The documented scholarly record provides an identifiable basis for assessing academic contribution and disciplinary relevance.[3]

Publications

The available Scopus record attributes 13 documents to the researcher profile. Publication output represents documented scholarly activity and provides a foundation for bibliometric assessment. Citation relationships associated with these works indicate their visibility within the scholarly literature, while the h-index summarizes sustained citation performance across multiple publications. [2]

Research Impact

The profile records 483 citations and an h-index of 7, indicating measurable citation recognition for the documented research output. Bibliometric indicators do not independently define research quality, but they provide useful evidence regarding scholarly visibility and influence when interpreted alongside subject context, publication practices and qualitative academic assessment. [1]

Award Suitability

Based on the available profile information, SUPRIYA KRISHNAN demonstrates documented publication activity, citation visibility and specialization relevant to data-driven academic research. These characteristics provide reasonable grounds for consideration for the Innovative Research Award, subject to the event’s formal eligibility criteria, independent review procedures and verification of submitted academic evidence. [3]

Conclusion

SUPRIYA KRISHNAN’s available academic profile presents measurable scholarly activity through publications, citations and an established h-index. The research specialization in Human Resources Analytics further provides disciplinary context. Overall, the documented information supports academic consideration for innovation-focused recognition, while final assessment should remain dependent on independent verification and formal evaluation criteria. [1]

References

  1. Longitudinal effects of ethical AI pedagogy on AI literacy, moral competence, and educational equity in Indian higher education: A three-year mixed-methods study with implications for academic libraries (NEP 2020 alignment).
    https://www.researchgate.net/publication/406165319_Longitudinal_effects_of_ethical_AI_pedagogy_on_AI_literacy_moral_competence_and_educational_equity_in_Indian_higher_education_A_three-year_mixed-methods_study_with_implications_for_academic_libraries_
  2. Decolonizing Mental Health in Humanitarian Crises: A Mixed-Methods Synthesis of Cultural Resilience and Structural Equity in India and the Global South.
    https://www.researchgate.net/publication/406031776_Decolonizing_Mental_Health_in_Humanitarian_Crises_A_Mixed-Methods_Synthesis_of_Cultural_Resilience_and_Structural_Equity_in_India_and_the_Global_South
  3. Comparative Effectiveness of Mind-Body Exercise Versus Cognitive Behavioral Therapy for College Students with Problematic Smartphone Use: A Randomized Controlled Trial
    .
    https://www.researchgate.net/publication/346053800_Comparative_Effectiveness_of_Mind-Body_Exercise_Versus_Cognitive_Behavioral_Therapy_for_College_Students_with_Problematic_Smartphone_Use_A_Randomized_Controlled_Trial