Nazlı Baltaci | Public Health | Innovative Research Award

Innovative Research Award

Nazlı Baltaci
Ondokuz Mayıs University Faculty of Health Sciences

Nazlı Baltaci
Affiliation Ondokuz Mayıs University Faculty of Health Sciences
Country Turkey
Scopus ID 57345024900
Documents 21
Citations 99
h-index 7
Subject Area Public Health
Event The Scientist Global Awards
ORCID 0000-0001-8582-6300

The Innovative Research Award recognizes scholarly achievements associated with the research activities of Nazlı Baltaci, a researcher affiliated with Ondokuz Mayıs University Faculty of Health Sciences in Turkey. Her academic profile reflects contributions to public health research, including interdisciplinary investigations, scientific publications, and evidence-based studies indexed in international databases.[1]

Abstract

Nazlı Baltaci’s scholarly profile demonstrates sustained engagement in public health research, encompassing scientific communication, collaborative studies, and publication activity indexed by Scopus. Her work contributes to the understanding of health sciences through empirical analysis and evidence-based methodologies. The Innovative Research Award acknowledges these contributions within the context of international academic excellence and interdisciplinary knowledge development.[1]

Keywords

Public Health, Health Sciences, Epidemiology, Community Health, Scientific Research, Evidence-Based Medicine, Academic Publications, Healthcare Studies, Innovation, Research Evaluation.

Introduction

Public health research plays a fundamental role in improving healthcare systems and informing policy decisions. Researchers working within health sciences contribute to disease prevention, health promotion, and the evaluation of interventions across populations. Nazlı Baltaci’s academic activities reflect participation in these broader objectives through scholarly outputs and scientific engagement.[2]

Research Profile

Nazlı Baltaci is a researcher at Ondokuz Mayıs University Faculty of Health Sciences, Turkey, specializing in Public Health. She has established a growing academic profile with 21 Scopus-indexed publications, 99 citations, and an h-index of 7, reflecting her meaningful contributions to public health research and scholarly impact through internationally indexed scientific publications.[1]

Research Contributions

The research contributions associated with Nazlı Baltaci include participation in public health investigations, dissemination of scientific findings, and collaboration within health science networks. Such work supports evidence-based decision-making and advances understanding of health-related challenges across diverse populations.[2]

Publications

Selected publications and indexed records associated with the research profile are available through Scopus and ORCID databases. Research outputs contribute to the broader scientific literature in public health and related disciplines.[1] [3]

Research Impact

Citation indicators provide one measure of scholarly influence and research dissemination. According to available indexing information, the researcher has accumulated ninety-nine citations and an h-index of seven, demonstrating measurable engagement with the scientific community.[1]

Award Suitability

The Innovative Research Award recognizes researchers whose work demonstrates scientific productivity, interdisciplinary relevance, and contributions to knowledge generation. Nazlı Baltaci’s academic profile aligns with these criteria through peer-reviewed publications, citation performance, and engagement in public health scholarship.[1]

Conclusion

Nazlı Baltaci’s research record reflects continuing contributions to public health and health sciences. The Innovative Research Award highlights scholarly achievements supported by indexed publications, citation metrics, and institutional engagement, emphasizing the importance of evidence-based research in advancing healthcare knowledge.[2]

References

  1. Elsevier. (2026). Scopus author details: Nazlı Baltaci, Author ID 57345024900. Scopus.
    https://www.scopus.com/pages/authors/57345024900
  2. Healthcare. (2026). Investigation of the Effect of Pregnant Women’s Maternal Health Literacy on Healthy Lifestyle Behaviors.
    https://doi.org/10.3390/healthcare14131928
  3. BMC Pregnancy and Childbirth. (2026). The effect of stress ball application on anxiety and fetal well-being during non-stress testing in high-risk pregnant women: a randomized controlled trial.
    https://doi.org/10.1186/s12884-026-09235-6

Xin Shelley Wang | Public Health | Excellence in Research Award

Prof. Dr. Xin Shelley Wang | Public Health | Excellence in Research Award

Professor | MD Anderson Cancer Center | United States

Prof. Dr. Xin Shelley Wang, MD, MPH is a physician–scientist at The University of Texas MD Anderson Cancer Center and an internationally recognized leader in patient-reported outcomes, cancer symptom science, and supportive oncology. Her research has fundamentally advanced the measurement and management of cancer-related symptoms, including fatigue, pain, and symptom burden across disease stages and treatments. She is a principal developer and validator of widely adopted tools such as the MD Anderson Symptom Inventory, now used globally in clinical trials and routine care. Dr. Wang has authored 200+ peer-reviewed publications, accruing 17,492 citations (h-index 60, i10-index 139). Her highly cited work has shaped symptom assessment standards, informed clinical decision-making, and improved quality of life for cancer patients worldwide through multidisciplinary collaborations and translational impact.

Citation Metrics (Google Scholar)

17494
13000
9000
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0

Citations

17,494

h-index

60

i10-index

139

Citations

h-index

i10-index

View Google Scholar Profile
View ORCID Profile

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Hajer Nabli | Public Health | Research Excellence Award

Assist. Prof. Dr. Hajer Nabli | Public Health | Research Excellence Award

Assistant Professor | University of Sousse, ISITCom | Tunisia

Assist. Prof. Dr. Hajer Nabli is a distinguished researcher specializing in cloud computing, blockchain, and AI-driven Internet of Things (AIoT) applications. She has authored multiple high-impact publications, with 128 citations, an h-index of 6, and an i10-index of 4, reflecting her significant contributions to service discovery, cloud service recommendation, and semantic similarity modeling. Her work emphasizes innovative solutions for cloud service personalization, web service composition, and the integration of emerging technologies into pharmaceutical and smart city applications. Collaborating extensively with international scholars, Nabli has advanced practical applications such as quality-aware context monitoring for smart homes and blockchain-enabled supply chain security. Her research demonstrates a strong societal impact, addressing critical challenges in technology adoption, elderly care, and counterfeit drug prevention.

Citation Metrics (Google Scholar)

128
100
80
40
0

Citations

128

h-index

6

i10-index

4

Citations

h-index

i10-index

View Google Scholar Profile View ORCID Profile

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Negin Maroufi | Public Health | Best Researcher Award

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