Hemant Mahajan | Epidemiology Research | Public Health Impact Award

Posted on by The Scientist

Public Health Impact Award

Hemant Mahajan is a researcher affiliated with the ICMR – National Institute of Nutrition, India, whose indexed research profile is associated with the subject area of Epidemiology Research. His scholarly record includes 27 documents, 215 citations, and an h-index of 6 according to the supplied Scopus profile information. [1]

Hemant Mahajan
Affiliation ICMR – National Institute of Nutrition
Country India
Scopus ID 57192391830
Documents 27
Citations 215
h-index 6
Subject Area Epidemiology Research
Event The Scientist Global Awards
ORCID 0000-0001-7874-9191

Abstract

Hemant Mahajan is an India-based researcher affiliated with the ICMR – National Institute of Nutrition and associated with the field of Epidemiology Research. The supplied bibliographic profile records 27 documents, 215 citations, and an h-index of 6. His research profile is considered in the context of public health and epidemiological research, where systematic investigation of population health, disease occurrence, determinants, and prevention can contribute to evidence-informed decision-making. [1] [2]

Keywords

Epidemiology Research, Public Health, Population Health, Disease Prevention, Health Research, Epidemiological Studies, Health Outcomes, Research Impact, Evidence-Based Public Health, Epidemiology.

Introduction

Epidemiology is concerned with the study of the distribution and determinants of health-related states or events in specified populations and the application of this knowledge to control health problems. Epidemiological research therefore provides an important methodological foundation for understanding population health, assessing risk factors, evaluating interventions, and informing public health programs. [2]

Research Profile

Hemant Mahajan is affiliated with the ICMR – National Institute of Nutrition, India. His supplied Scopus author information identifies author ID 57192391830 and reports 27 indexed documents, 215 citations, and an h-index of 6. His ORCID identifier is 0000-0001-7874-9191, providing a persistent identifier through which scholarly works can be associated with the researcher. [1]  [3]

Research Contributions

The available profile information supports consideration of Hemant Mahajan’s scholarly work within Epidemiology Research and public health. The reported publication and citation indicators provide bibliometric context for the research record, while the institutional affiliation provides an organizational context for work connected with nutrition and population health. [1]

Publications

The supplied Scopus profile records 27 documents associated with Hemant Mahajan under author ID 57192391830. The indexed publication record can be consulted through the author’s Scopus profile for current bibliographic details, including individual publications, citation information, and related author metadata. [1]

Research Impact

In the broader context of epidemiology, research impact may also be expressed through contributions to understanding population health, disease prevention, health policy, surveillance, intervention evaluation, and evidence-based public health practice. The practical significance of individual research contributions should therefore be assessed using the underlying studies and their documented applications rather than bibliometric measures alone. [2]

Award Suitability

The Public Health Impact Award is presented here in relation to the researcher’s documented subject area, institutional affiliation, and bibliographic profile. Hemant Mahajan’s association with Epidemiology Research provides a clear thematic connection to public health research, while the supplied Scopus record provides measurable information about scholarly output and citations. [1]

Conclusion

Hemant Mahajan’s academic profile is associated with the ICMR – National Institute of Nutrition, India, and the field of Epidemiology Research. The supplied Scopus information records 27 documents, 215 citations, and an h-index of 6, while the researcher’s ORCID provides an additional persistent scholarly identifier. [1] [3]

References

  1. Elsevier. (2026). Scopus author details: Hemant Mahajan, Author ID 57192391830. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57192391830
  2. Associations of Dietary Inflammatory Potential, Dietary Diversity, and Micronutrient Adequacy with Rheumatoid Arthritis: A Case–Control Study from India.
    https://doi.org/10.3390/nu18193170
  3. ORCID. (2026). ORCID record: Hemant Mahajan, ORCID iD 0000-0001-7874-9191. ORCID.
    https://orcid.org/0000-0001-7874-9191
  4. The Scientist Global Awards. (2026). The Scientist Global Awards.
    https://thescientists.net/

Negin Maroufi | Public Health | Best Researcher Award

Posted on by The Scientist

Ms. Negin Maroufi | Public Health | Best Researcher Award

University of Otago | New Zealand

Ms. Negin Maroufi is a highly motivated Ph.D. candidate in Public Health at the University of Otago, Wellington (2023–present), specializing in the application of machine learning and multi-source surveillance data to predict seasonal influenza patterns in New Zealand to support improved prevention and health service management. She holds an M.Sc. in Computer Engineering (Software) from Islamic Azad University, Neyshabur, Iran (2018), where her thesis focused on designing approximate compressor circuits using Quantum-dot Cellular Automata, and a B.Sc. in Computer Engineering (Hardware) from Ferdowsi University of Mashhad, Iran (2013), where she developed character recognition systems via tablet digitizers. Her professional experience includes serving as Deputy of Research and Technology at Neyshabour University of Medical Sciences (2021–2023), coordinating IT infrastructure, database management, and epidemiological data analysis, and contributing to the Neyshabur Longitudinal Study on Ageing (NeLSA) from 2017–2021, where she designed databases, developed web interfaces, performed statistical analyses, and assisted in COVID-19 surveillance reporting. She has also taught English, programming, and IT courses in various institutions, demonstrating strong mentorship and teaching capabilities. Her research interests lie at the intersection of digital epidemiology, public health informatics, machine learning, and predictive modeling for infectious disease surveillance. She possesses advanced research skills in C/C#/ASP.NET programming, Python, R, STATA, SQL database design, data cleaning, machine learning, and biomedical data analysis, and holds certifications in Good Clinical Practice, biomedical research ethics, and data science. Her work has been published in reputable journals such as the Middle East Journal of Digestive Diseases and the International Journal of Epidemiology, and she has contributed to national COVID-19 epidemiology reports. Negin has received the University of Otago Doctoral Scholarship, maintained top grades throughout her academic career, and earned awards in mathematics and programming competitions. Her combined expertise, research experience, and leadership abilities position her as a promising emerging scholar in public health and digital epidemiology. 27 Citations by 27 documents, 3 Documents, h-index 1.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Aminisani, N., Azimi-Nezhad, M., Shamshirgaran, S. M., Mirhafez, S. R., Borji, A., Poustchi, H., Sezavar, S. H., Ansarin, K., Kolahi, S., Javadpor, A., Rezaei, A., Hooshmand, E., Maroufi, N., Tabaei, S., Eghtesad, S., Hyde, M., Kenny, R. A., Raina, P., Stephens, C., Malekzadeh, R. (2022). Cohort profile: The IRanian Longitudinal Study on Ageing (IRLSA): The first comprehensive study on ageing in Iran. International Journal of Epidemiology, 51(4), e177–e188. Citations: 37

  2. Maroufi, N., & Bahrepour, D. (2018). A novel three-input approximate XOR gate design based on quantum-dot cellular automata. Journal of Computational Electronics, 17(2), 866–879. Citations: 7

  3. Bahrepour, D., & Maroufi, N. (2018). A 2-bit full comparator design with a minimum quantum cost function in quantum-dot cellular automata. Information Systems & Telecommunication, 6, 197–203. Citations: 5

  4. Bahrepour, D., & Maroufi, N. (2019). A 2-bit full comparator design with minimum quantum cost function in quantum-dot cellular automata. Journal of Information Systems and Telecommunication (JIST), 4(24), 197. Citations: 3

  5. Maroufi, N., Sohrabi, M., Mehrabadi, S., Zamani, F., Ajdarkosh, H., Hatamian, S., Bahavar, A., Tameshkel, F. S., Gholami, A. (2024). Poor sleep quality and its influencing factors among Iranian patients with esophageal and gastric cancer. Middle East Journal of Digestive Diseases, 16(1), 39–46. Citations: 2