Fahad Alshanbari | Veterinary Science | Best Researcher Award

Published on by Scientific World Research Awards

Best Researcher Award

Fahad Alshanbari
Qassim University

Fahad Alshanbari
Affiliation Qassim University
Country Saudi Arabia
Scopus ID 57204459683
Documents 35
Citations 139
h-index 7
Subject Area Veterinary Science
Event Scientific World Research Awards
ORCID 0000-0001-7267-4301

The Best Researcher Award recognition article highlights the scholarly activities and research profile of Fahad Alshanbari from Qassim University. His academic contributions within veterinary science demonstrate sustained engagement in scientific investigation, publication, and knowledge dissemination. Through peer-reviewed research outputs and citation impact, his work contributes to ongoing developments in veterinary medicine, animal health, and related biological sciences. The profile presented below summarizes his research background, publication activity, scientific influence, and suitability for recognition within the Scientific World Research Awards program.[1]

Abstract

Fahad Alshanbari is a researcher affiliated with Qassim University whose scholarly activities focus on veterinary science and associated biological disciplines. His publication record reflects active participation in scientific research addressing animal health, disease management, veterinary diagnostics, and related biomedical applications. With 35 indexed publications, 139 citations, and an h-index of 7, his work demonstrates measurable academic visibility and influence. The accumulated research output indicates a commitment to advancing veterinary knowledge through peer-reviewed studies, interdisciplinary collaboration, and scientific dissemination. These achievements support consideration for recognition through the Scientific World Research Awards program.[1][2]

Keywords

Veterinary Science, Animal Health, Biomedical Research, Veterinary Medicine, Scientific Publications, Research Impact, Academic Recognition, Citation Analysis, Animal Disease Studies, Best Researcher Award.

Introduction

Research excellence within veterinary science plays an important role in improving animal welfare, disease prevention, and public health outcomes. Academic researchers contribute by generating evidence-based knowledge that supports veterinary practice and scientific advancement. Fahad Alshanbari’s scholarly profile reflects participation in this broader scientific mission through publication, collaboration, and dissemination of research findings within recognized academic platforms. His research activities align with contemporary objectives aimed at strengthening veterinary science and biological research communities.[1]

Research Profile

The research profile of Fahad Alshanbari demonstrates consistent scholarly engagement within veterinary science. His Scopus-indexed publication record comprises 35 documents supported by an accumulated citation count of 139 and an h-index of 7. These metrics indicate both productivity and academic visibility within the research community. His affiliation with Qassim University further supports participation in collaborative scientific investigations and dissemination of research findings through reputable scholarly channels.[1]

Research Contributions

The research contributions associated with Fahad Alshanbari encompass veterinary science topics relevant to animal health, disease investigation, biological assessment, and clinical applications. His publications contribute to scientific understanding through data-driven methodologies and peer-reviewed dissemination. Such work supports knowledge generation, promotes evidence-based veterinary practices, and strengthens the academic literature available to researchers, clinicians, and students working within related scientific fields.[2][3]

Publications

  • Peer-reviewed veterinary science research articles published in indexed journals.
  • Collaborative studies addressing animal health and biological sciences.
  • Research outputs contributing to veterinary diagnostics and disease investigations.
  • Scientific publications recognized through citation activity and scholarly referencing.
  • Academic works supporting evidence-based veterinary practices and research development.

Research Impact

Research impact may be evaluated through publication productivity, citation performance, and scholarly influence. With 139 citations and an h-index of 7, Fahad Alshanbari’s work has achieved measurable recognition within academic literature. Citation activity suggests that published findings have been referenced by other researchers, indicating relevance to ongoing investigations and broader scientific discussions in veterinary science and related biomedical domains.[1][4]

Award Suitability

The Best Researcher Award recognizes sustained scientific achievement, publication excellence, and contributions to knowledge advancement. Fahad Alshanbari’s research profile demonstrates several characteristics commonly associated with academic recognition, including peer-reviewed publications, measurable citation impact, institutional affiliation, and ongoing scholarly engagement. His documented research record within veterinary science provides an appropriate foundation for consideration within the Scientific World Research Awards evaluation framework.[5]

Conclusion

Fahad Alshanbari’s academic profile reflects active participation in veterinary science research through publication, citation impact, and scholarly dissemination. His documented contributions support scientific understanding within his field while demonstrating commitment to research excellence. The combination of publication productivity, measurable influence, and institutional engagement highlights the significance of his academic achievements and supports recognition through research-focused award programs.

References

  1. Elsevier. (n.d.). Scopus author details: Fahad Alshanbari, Author ID 57204459683. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57204459683
  2. ORCID. (n.d.). ORCID record for Fahad Alshanbari.
    https://orcid.org/0000-0001-7267-4301
  3. Poultry Science. (2026). Photoperiod as a neuroendocrine regulator: A review on pineal-melatonin signaling and physiological plasticity in poultry.
    DOI:https://doi.org/10.1016/j.psj.2026.106743
  4. Journal article. (2026). Heat Stress Effects on Milk Production and the Genomic Architecture of Thermotolerance in Dairy Cattle.
    DOI:https://doi.org/10.3390/biology15100813
  5. Scientific World Research Awards. (n.d.). Award criteria and recognition framework.
    https://scientificworld.net/

Songdah Désiré Ouattara | Agricultural Science | Innovative Research Award

Published on by Scientific World Research Awards

Innovative Research Award

Songdah Désiré Ouattara
Affiliation Nazi Boni University
Country Burkina Faso
Documents 8
Citations 3
h-index 1
Subject Area Agricultural Science
Event Scientific World Research Awards
ORCID 0009-0003-1145-8519

Songdah Désiré Ouattara

Songdah Désiré Ouattara is a researcher affiliated with Nazi Boni University in Burkina Faso whose academic activities focus on agricultural science, livestock nutrition, agroecological systems, and crop residue valorization. His research profile reflects interdisciplinary engagement in sustainable livestock feeding systems and agro-pastoral innovation within sub-Saharan Africa.[1]

Abstract

Songdah Désiré Ouattara has contributed to agricultural science research through studies addressing livestock nutrition, agroecological transition, and sustainable management of crop residues in Burkina Faso. His scholarly activities include investigations into feed diversification strategies, recycling of agricultural co-products, and socioeconomic evaluation of agro-pastoral practices.[2] His research emphasizes practical approaches for strengthening dry-season feed availability and improving productivity in sub-Saharan farming systems.[3] Through collaborative publications and institutional research participation, Ouattara contributes to discussions on sustainable agricultural development and resilient livestock production systems within West Africa.

Keywords

Agricultural Science, Agroecology, Livestock Nutrition, Crop Residues, Burkina Faso, Sustainable Farming, Animal Feed Systems.

Introduction

Research concerning sustainable livestock systems has become increasingly important across African agricultural regions affected by seasonal feed shortages and environmental challenges. Songdah Désiré Ouattara has participated in scientific efforts aimed at improving agro-pastoral sustainability through feed innovation and crop residue utilization.[1] His academic pathway includes doctoral studies focused on animal production systems and nutrition at Nazi Boni University.

Research Profile

Ouattara’s research profile demonstrates involvement in collaborative agricultural studies related to agro-sylvo-pastoral systems, feed resource management, and livestock productivity.[2] His professional activities include consultancy work associated with socioeconomic and environmental evaluation of agroecological practices in Burkina Faso. His educational background includes zootechnical engineering and agricultural management studies in Côte d’Ivoire and Burkina Faso.

Research Contributions

The researcher has contributed to studies examining the recycling of agricultural co-products and diversification of fodder systems to support dairy farm productivity.[4] Additional work has addressed farmer perceptions and practical use of crop residues for livestock feeding in Burkina Faso.[5] These investigations support regional discussions regarding sustainable resource utilization and climate-resilient agriculture.

Publications

  • “Co-designing fodder diversification and co-products recycling fosters effectiveness, productivity and agroecological transition of dairy farms in Burkina Faso.” Frontiers in Agronomy, 2025.
  • “Valorisation des résidus de cultures en alimentation du bétail au Burkina Faso : perception des agro-pasteurs et pratiques d’utilisation.” Revue d’élevage et de médecine vétérinaire des pays tropicaux, 2024.
  • “Vegetable crop residues: an opportunity to bridge dry-season feed gaps in sub-Saharan Africa.” Frontiers in Animal Science, 2025.

Research Impact

Ouattara’s research activities contribute to the growing body of knowledge addressing sustainable livestock feeding systems and agricultural resilience in West Africa. His studies emphasize locally available feed resources and agroecological practices that may improve productivity while reducing environmental pressure.[4]

Award Suitability

The Innovative Research Award recognizes emerging and impactful scientific contributions within specialized academic fields. Ouattara’s work in agricultural science, particularly his emphasis on sustainable livestock nutrition and agroecological transition, aligns with the objectives of research recognition programs promoting practical and regionally relevant scientific advancement.[3]

Conclusion

Songdah Désiré Ouattara represents an emerging contributor to agricultural science research focused on sustainable livestock production and agroecological resource management. Through collaborative research, academic training, and applied agricultural investigations, his work supports ongoing scientific discussions concerning resilient farming systems and feed sustainability in sub-Saharan Africa.

References

  1. ORCID. (2026). Songdah Désiré Ouattara ORCID profile and academic activities. ORCID Registry.https://orcid.org/0009-0003-1145-8519
  2. CIRAD. (2023). Evaluation de la viabilité socioéconomique et environnementale des pratiques agroécologiques.https://orcid.org/0009-0003-1145-8519
  3. Frontiers in Animal Science. (2025). Vegetable crop residues: an opportunity to bridge dry-season feed gaps in sub-Saharan Africa.https://doi.org/10.3389/fanim.2025.1718268
  4. Frontiers in Agronomy. (2025). Co-designing fodder diversification and co-products recycling fosters effectiveness, productivity and agroecological transition of dairy farms in Burkina Faso.https://doi.org/10.3389/fagro.2025.1657477
  5. Revue d’élevage et de médecine vétérinaire des pays tropicaux. (2024). Valorisation des résidus de cultures en alimentation du bétail au Burkina Faso: perception des agro-pasteurs et pratiques d’utilisation.https://doi.org/10.19182/remvt.37012

Haris Mahboob | Veterinary Science | Best Researcher Award

Published on by Scientific World Research Awards

Dr. Haris Mahboob | Veterinary Science | Best Researcher Award

Student | National University of Sciences & Technology | Pakistan

Haris Mahboob is a dedicated and multidisciplinary researcher working across artificial intelligence, healthcare, molecular medicine, and veterinary biology, with a strong focus on integrating machine learning and deep learning into biomedical research. His research interests include AI-assisted disease diagnosis, oncology-focused predictive modeling, biomarker identification, drug discovery support, and computational analysis of imbalanced medical datasets. He is particularly engaged in developing intelligent systems that enhance early detection of complex diseases such as cancer and improve overall clinical decision-making. His research skills span association-rule mining, machine learning model development, handling imbalanced datasets using techniques like SMOTE, data preprocessing, statistical analysis, feature engineering, biomedical interpretation, and writing impactful scientific manuscripts. Haris has contributed to notable publications, including a study on identifying etiological factors of malignant mesothelioma using machine learning techniques in an imbalanced dataset, demonstrating his ability to merge clinical insight with informatics. His work on evaluating the effectiveness of a feed-based monovalent Aeromonas vaccine in farmed carp reflects his strength in immunology, microbiology, and applied animal health research. While specific awards or honors are not publicly documented, his growing body of research, multidisciplinary expertise, and involvement in high-quality studies highlight his academic promise and increasing recognition in his field. Based on available Scopus-indexed records of his two publications, his citation metrics indicate emerging research influence, with citations contributed primarily through his machine-learning-based oncology study. Although complete citation totals, exact document counts, and a verified h-index are not explicitly listed in public sources, his citation impact is steadily increasing as his work gains broader visibility. In conclusion, Haris Mahboob represents an early-career researcher with strong potential, actively bridging AI technologies with biomedical and veterinary sciences. His integrated approach to data-driven healthcare innovation positions him to make significant contributions in oncology research, diagnostic intelligence, and translational biomedical applications in the future.

Profiles: Scopus | ORCID | Google Scholar | LinkedIn

Featured Publications

Alam, T. M., Shaukat, K., Mahboob, H., Sarwar, M. U., Iqbal, F., Nasir, A., Hameed, I. A., & Luo, S. (2022). A machine learning approach for identification of malignant mesothelioma etiological factors in an imbalanced dataset. The Computer Journal, 65(7), 1740–1751.

Mubeen, N., Abbas, F., Hafeez-ur-Rehman, M., Crumlish, M., Mahboob, H., Akmal, M., Sadiqa, A., Alam, T. M., & Jalil, S. (2025). Effectiveness of feed-based monovalent Aeromonas vaccine in farmed carp. Microorganisms, 13(8), 1903.

The nominee’s work drives meaningful advancements at the intersection of science, society, and innovation by developing data-driven solutions that enhance healthcare, strengthen disease prevention, and support evidence-based decision-making. Through interdisciplinary research and forward-looking scientific contributions, the nominee is shaping impactful technologies that improve human and animal well-being while promoting global progress across biomedical, veterinary, and industrial sectors.