khadija Mehrez | Sustainable Agriculture | Innovative Research Award

Innovative Research Award

khadija Mehrez
Jazan University

khadija Mehrez
Affiliation Jazan University
Country Saudi Arabia
Scopus ID 60413161400
Documents 11
Citations 90
h-index 4
Subject Area Sustainable Agriculture
Event Agri Scientist Awards
Google Scholar tVHQgjEAAAAJ&h

Khadija Mehrez is a researcher affiliated with Jazan University, Saudi Arabia, whose documented scholarly profile is positioned within the field of sustainable agriculture. The available bibliometric information records 11 documents, 90 citations, and an h-index of 4. These indicators provide a quantitative basis for considering her research activity in the context of the Innovative Research Award associated with the Agri Scientist Awards.

Abstract

Khadija Mehrez, affiliated with Jazan University in Saudi Arabia, is presented as a researcher working within sustainable agriculture. Her available scholarly indicators include 11 documents, 90 citations, and an h-index of 4, providing measurable evidence of research activity and academic visibility. This profile considers her potential relevance to the Innovative Research Award under the Agri Scientist Awards. The assessment emphasizes documented research output, citation impact, disciplinary alignment, and the broader importance of sustainable agriculture research. Bibliometric information is interpreted as supporting evidence rather than as a standalone measure of research quality, originality, societal contribution, or innovation within the field.

Keywords

Khadija Mehrez; Jazan University; Saudi Arabia; sustainable agriculture; agricultural research; innovative research; scholarly impact; citation analysis; research productivity; Agri Scientist Awards.

Introduction

Sustainable agriculture encompasses research concerned with productive, resource-efficient, environmentally responsible, and socially relevant agricultural systems. The field draws upon interdisciplinary approaches addressing food production, resource management, environmental pressures, resilience, and long-term agricultural sustainability. Research recognition in this area generally benefits from evidence demonstrating scholarly contribution, methodological rigor, relevance, and potential application.[1]

Research Profile

Khadija Mehrez is associated with Jazan University in Saudi Arabia and is identified in the supplied profile as working within sustainable agriculture. Her Scopus author identifier is 60413161400. The recorded profile contains 11 documents, 90 citations, and an h-index of 4, indicating an established indexed research presence in her stated subject area. [1]

Research Contributions

The documented contribution profile is centered on sustainable agriculture, a research domain concerned with balancing agricultural productivity, resource conservation, environmental stewardship, and long-term resilience. Mehrez’s indexed output contributes to the scholarly record associated with this field. Specific contributions should be evaluated from individual publications, methods, findings, collaborations, and demonstrated applications rather than bibliometric indicators alone.

Publications

The supplied bibliometric record reports 11 indexed documents for Khadija Mehrez. This figure indicates a body of scholarly output recorded within the stated Scopus profile, while the available information does not provide sufficient publication-level details to characterize individual titles, journals, methodologies, or findings. For formal award assessment, the complete publication list and associated bibliographic records should therefore be reviewed directly. [1]

Research Impact

The profile records 90 citations and an h-index of 4, providing quantitative evidence of scholarly visibility. Citation indicators can assist in contextualizing research influence, but they vary across disciplines, publication ages, collaboration patterns, and indexing practices. Consequently, the recorded metrics are best considered alongside originality, research quality, practical relevance, and independent evidence of influence.

Award Suitability

Khadija Mehrez appears broadly aligned with the Innovative Research Award because her documented subject area is sustainable agriculture and her profile demonstrates indexed scholarly activity. The available record supports consideration based on research productivity and citation visibility. Final eligibility or selection should depend on the award’s official criteria and independent evaluation of originality, significance, evidence, and contribution.

Conclusion

Khadija Mehrez’s academic profile at Jazan University reflects research activity associated with sustainable agriculture, supported by 11 documented documents, 90 citations, and an h-index of 4. These indicators establish a measurable scholarly footprint, while a comprehensive recognition decision should incorporate publication quality, originality, methodological contribution, collaboration, practical significance, and broader research influence. The profile therefore provides a reasonable academic basis for consideration for an Innovative Research Award, subject to the formal assessment requirements of the Agri Scientist Awards.

References

  1. Elsevier. (n.d.). Scopus author details: Khadija Mehrez, Author ID 60413161400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60413161400
  2. Google Scholar. (n.d.). Scholar profile for Khadija Mehrez. Google Scholar.
    https://scholar.google.com/citations?user=tVHQgjEAAAAJ&hl=en&oi=sra
  3. Marketing strategies for value chain development: Case of Khawlani coffee-Jazan Region, Saudi Arabia.
    https://doi.org/10.1016/j.jssas.2023.04.004
  4. Effect of fertilization on yield and quality of Arabica coffee grown on mountain terraces in southwestern Saudi Arabia.
    https://doi.org/10.1016/j.scienta.2023.112370
  5. Agri Scientist Awards. (2026). Official award information and recognition platform.
    https://agriscientist.org/

Hsiuying Wang | Sustainable Agriculture | Best Researcher Award

Prof Hsiuying Wang | Sustainable Agriculture | Best Researcher Award

Professor at  National Yang Ming Chiao Tung University, Taiwan

Dr. Hsiuying Wang is a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University. With a Ph.D. in statistics from National Taiwan University and National Tsing Hua University, Dr. Wang has a robust academic background that laid the foundation for her illustrious career. Since joining the Institute in 1996, she has dedicated over 28 years to academia and research.

Profile:

📚 Education & Experience:

Dr. Hsiuying Wang, a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University, holds a PhD in mathematics and statistics. She completed her bachelor’s, master’s, and doctoral degrees from National Taiwan University and National Tsing Hua University between 1988 and 1996.

🏅 Academic Achievements:

Dr. Wang’s scholarly pursuits are highlighted by approximately 90 international journal publications. She holds editorial positions in esteemed journals such as Frontiers in Genetics, Frontiers in Oncology, and Scientific Reports. Recognized for her scholarly impact, she was inducted as a full member of the Sigma Xi Scientific Research Honor Society in 2023.

🌱 Sustainable Agriculture Research Focus

Dr. Hsiuying Wang, a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University, brings her expertise in statistics to the realm of sustainable agriculture. With a PhD in mathematics and statistics and 28 years of experience, Dr. Wang has diversified her research focus to encompass sustainable agriculture alongside her specialization in bioinformatics and biomaterials. 🔬 Interdisciplinary Approach Employing an interdisciplinary approach, Dr. Wang delves into statistical methodologies to address challenges in sustainable agriculture. Her research aims to optimize resource allocation, improve crop yield prediction models, and enhance farming practices through data-driven insights. 🌿 Bridging Statistical Analysis with Agricultural Innovation By integrating statistical analysis with agricultural innovation, Dr. Wang seeks to develop sustainable solutions for food security, environmental conservation, and economic resilience in farming communities. Her work underscores the importance of data-driven decision-making in fostering agricultural sustainability. 🏅 Commitment to Progress As a dedicated educator and researcher, Dr. Wang remains committed to advancing sustainable agriculture practices. Her vision encompasses a future where statistical analysis serves as a cornerstone for agricultural development, paving the way for a more resilient and equitable food system.

Citations:

  • Total Citations: 1429
  • Citations Since 2019: 949
  • H-index: 22
  • i10-index: 46 (All time)
  • i10-index: 31 (Since 2019)

Publication Top Notes:

  1. “A review of the effects of collagen treatment in clinical studies”
    • Journal: Polymers, Volume 13, Issue 22, Page 3868, Year 2021
    • Citations: 108
  2. “MicroRNAs and apoptosis in colorectal cancer”
    • Journal: International Journal of Molecular Sciences, Volume 21, Issue 15, Page 5353, Year 2020
    • Citations: 90
  3. “Comparison of p control charts for low defective rate”
    • Journal: Computational Statistics & Data Analysis, Volume 53, Issue 12, Pages 4210-4220, Year 2009
    • Citations: 60
  4. “Anti-NMDA receptor encephalitis and vaccination”
    • Journal: International Journal of Molecular Sciences, Volume 18, Issue 1, Page 193, Year 2017
    • Citations: 58
  5. “Exploring microRNA biomarker for amyotrophic lateral sclerosis”
    • Journal: International Journal of Molecular Sciences, Volume 19, Issue 5, Page 1318, Year 2018
    • Citations: 43
  6. “Tolerance intervals for discrete distributions in exponential families”
    • Journal: Statistica Sinica
    • Pages: 905-923, Year 2009
    • Citations: 40
  7. “Efficacies of treatments for anti-NMDA receptor encephalitis”
    • Journal: Frontiers in Bioscience
    • Volume 21, Pages 651-663, Year 2016
    • Citations: 38
  8. “Tolerance intervals with improved coverage probabilities for binomial and Poisson variables”
    • Journal: Technometrics, Volume 51, Issue 1, Pages 25-33, Year 2009
    • Citations: 36
  9. “Exact confidence coefficients of simultaneous confidence intervals for multinomial proportions”
    • Journal: Journal of Multivariate Analysis, Volume 99, Issue 5, Pages 896-911, Year 2008
    • Citations: 35