Rossella Cannarella | Medicine and Dentistry | Women Research Award

Published on by Book of Award

Women Research Award

Rossella Cannarella
Università degli Stufi di Catania, Italy

Rossella Cannarella
Affiliation Università degli Stufi di Catania
Country Italy
Scopus ID 56033761100
Documents 294
Citations 5,229
h-index 40
Subject Area Medicine and Dentistry
Event International Research Excellence Awards – Book of Award
ORCID 0000-0003-4599-8487

Rossella Cannarella is an Italian researcher whose scholarly work has contributed to the advancement of reproductive medicine, endocrinology, and andrology. With an extensive publication portfolio and substantial citation impact, her research has addressed clinically relevant topics including male infertility, hormonal disorders, assisted reproduction, environmental influences on reproductive health, and metabolic disease management. Her academic profile demonstrates sustained productivity and international visibility, making her a noteworthy candidate for recognition through the Women Research Award program.[1]

Abstract

This article presents an academic overview of Rossella Cannarella and her contributions to medicine and dentistry. Her work encompasses translational and clinical research focused on reproductive health, endocrinology, diabetes management, and fertility preservation. Through numerous peer-reviewed publications, she has contributed evidence supporting improved patient outcomes and expanded understanding of reproductive disorders and treatment strategies.[2]

Keywords

Reproductive Medicine, Andrology, Endocrinology, Male Infertility, Diabetes Care, Clinical Research, Women’s Research Award, Translational Medicine.

Introduction

Modern reproductive medicine increasingly relies on multidisciplinary investigation integrating genetics, endocrinology, clinical medicine, and public health. Rossella Cannarella has contributed to these interconnected domains through studies examining fertility disorders, hormonal regulation, environmental toxicology, and therapeutic interventions. Her scholarly record reflects continued engagement with emerging challenges affecting reproductive and metabolic health worldwide.[3]

Research Profile

With 294 indexed documents, 5,229 citations, and an h-index of 40, Cannarella has established a measurable scholarly presence. Her research profile demonstrates sustained publication activity in reputable international journals covering reproductive biology, clinical endocrinology, molecular genetics, and patient-centered healthcare outcomes. These metrics indicate both productivity and scientific influence within her field.[1]

Research Contributions

Her investigations have explored genetic determinants of congenital hypogonadotropic hypogonadism, the impact of environmental contaminants on sperm function, and comparative effectiveness of reproductive interventions. Additional studies have examined fertility outcomes, sperm quality, and endocrine therapies, contributing evidence that supports clinical decision-making and patient management.[4][5]

Publications

  • Transitioning to Omnipod 5®: Effectiveness, Safety, and Patient-Reported Outcomes of a Tubeless Automated Insulin Delivery System in Adults with Type 1 Diabetes Mellitus (2026).
  • Identification of Novel Genetic Variants in a Cohort of Congenital Hypogonadotropic Hypogonadism: Computational Analysis of Pathogenicity Predictions (2025).
  • Comparison Between Varicocelectomy and Varicocele Sclerotherapy: Results of a Single-Center Observational Study (2024).
  • Effects of Switching FSH Preparations on Sperm Parameters and Pregnancy: A Prospective Controlled Study (2024).
  • In-Vitro Effects of Perfluorooctanoic Acid on Human Sperm Function: What Are the Clinical Consequences? (2024).

Research Impact

The impact of Cannarella’s scholarship is reflected in citation metrics, interdisciplinary collaborations, and the translational relevance of her findings. Her publications address practical healthcare concerns while simultaneously advancing scientific understanding. Research on fertility treatments, genetic diagnosis, and environmental health factors has provided valuable evidence for clinicians and researchers working across reproductive medicine specialties.[6]

Award Suitability

The Women Research Award recognizes researchers who demonstrate scientific excellence, sustained productivity, and meaningful contributions to knowledge advancement. Based on her publication record, citation performance, leadership in reproductive medicine research, and commitment to evidence-based healthcare, Rossella Cannarella aligns with key criteria commonly associated with international academic recognition programs. Her work illustrates the role of women researchers in addressing complex biomedical challenges and improving healthcare outcomes.[1]

Conclusion

Rossella Cannarella has developed a distinguished academic profile through sustained contributions to reproductive medicine, endocrinology, and clinical research. Her scholarly achievements, supported by substantial publication output and citation impact, demonstrate continued engagement with important biomedical questions. These accomplishments provide a strong foundation for consideration within the International Research Excellence Awards – Book of Award program.

References

  1. Elsevier. (n.d.). Scopus author details: Rossella Cannarella, Author ID 56033761100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56033761100
  2. Cannarella, R. et al. (2026). Transitioning to Omnipod 5®. Biomedicines.
    DOI: https://doi.org/10.3390/biomedicines14051136
  3. Cannarella, R. et al. (2025). Identification of Novel Genetic Variants in a Cohort of Congenital Hypogonadotropic Hypogonadism. International Journal of Molecular Sciences.
    https://doi.org/10.3390/ijms26115207
  4. Cannarella, R. et al. (2024). Comparison Between Varicocelectomy and Varicocele Sclerotherapy. Life.
    https://doi.org/10.3390/life14111368
  5. Cannarella, R. et al. (2024). Effects of Switching FSH Preparations on Sperm Parameters and Pregnancy. Journal of Clinical Medicine.
    https://doi.org/10.3390/jcm13195666
  6. Cannarella, R. et al. (2024). In-Vitro Effects of Perfluorooctanoic Acid on Human Sperm Function. Journal of Clinical Medicine.
    https://doi.org/10.3390/jcm13082201

Abdullah Al Hamid | Health Professions | King Faisal University

Published on by Book of Award

Best Review Article Award

Abdullah Al Hamid
King Faisal University, Saudi Arabia

Abdullah Al Hamid
Affiliation King Faisal University
Country Saudi Arabia
Scopus ID 55966812500
Documents 43
Citations 624
h-index 13
Subject Area Health Professions
Event International Research Excellence Awards – Book of Award
ORCID 0000-0002-7124-557X

The Best Review Article Award recognizes scholarly contributions that demonstrate methodological rigor, analytical depth, and meaningful synthesis of scientific evidence. Abdullah Al Hamid of King Faisal University has established a research profile characterized by interdisciplinary investigations spanning health professions, public health, machine learning applications, nephrology, substance use studies, and evidence-based healthcare evaluation. His publication record reflects sustained engagement with contemporary research challenges and systematic approaches to scientific inquiry.[1]

Abstract

This article presents an academic overview of Abdullah Al Hamid’s research achievements and evaluates their relevance to the Best Review Article Award. His scholarly record demonstrates engagement with systematic reviews, evidence synthesis, public health research, and emerging applications of machine learning within healthcare contexts. The breadth of publications and citation performance indicate a measurable contribution to scientific knowledge dissemination and interdisciplinary research development.[2]

Keywords

Systematic Review, Health Professions, Evidence Synthesis, Public Health, Machine Learning, Drug Research, Academic Impact, Scholarly Excellence.

Introduction

Contemporary research environments increasingly require interdisciplinary approaches that integrate data science, healthcare evaluation, and evidence-based decision-making. Abdullah Al Hamid’s scholarly work reflects these priorities through publications addressing drug detection technologies, health screening utilization, substance abuse assessment, and educational analytics. Such research contributes to the broader understanding of healthcare outcomes and methodological innovation.[3]

Research Profile

With 43 indexed documents, 624 citations, and an h-index of 13, Abdullah Al Hamid has developed a recognized publication record within health-related disciplines. His research interests encompass nephrology, healthcare screening practices, substance misuse studies, spectroscopy-based detection systems, and machine learning methodologies. The diversity of topics demonstrates an ability to engage with both applied and theoretical research challenges.[1]

Research Contributions

  • Systematic evaluation of albuminuria screening practices among adults with diabetes and hypertension.
  • Investigation of steroid and illicit drug abuse within health and fitness communities.
  • Application of machine learning algorithms for educational performance classification.
  • Development of spectroscopy-based methods for drug detection in beverages.
  • Assessment of hallucinogenic new psychoactive substances through digital and behavioral perspectives.

Publications

Representative publications include studies published in Journal of Drug Issues, BMC Nephrology, Emerging Trends in Drugs, Addictions, and Health, and the Lecture Notes on Data Engineering and Communications Technologies series. These works collectively illustrate engagement with systematic review methodologies, public health investigations, and technological innovation.[4]

Research Impact

The citation profile associated with Abdullah Al Hamid’s publications suggests sustained academic visibility and relevance. His research contributes evidence that may support healthcare policy evaluation, screening program effectiveness, substance abuse awareness, and the implementation of data-driven analytical techniques. The combination of review-based and empirical research strengthens the practical value of his scholarly portfolio.[5]

Award Suitability

The Best Review Article Award emphasizes scholarly synthesis, methodological transparency, and contribution to knowledge advancement. Abdullah Al Hamid’s record includes systematic reviews and evidence-based investigations addressing clinically and socially significant topics. The documented publication output, citation performance, and interdisciplinary scope support consideration for recognition within the International Research Excellence Awards – Book of Award program.[6]

Conclusion

Abdullah Al Hamid’s academic achievements demonstrate a sustained commitment to evidence-based research, interdisciplinary collaboration, and scholarly dissemination. His contributions to healthcare-related research, systematic review literature, and machine learning applications highlight a profile aligned with the objectives of academic excellence and research recognition programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Abdullah Al Hamid, Author ID 55966812500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55966812500
  2. Al Hamid, A. (2026). Effects and Toxicity of Hallucinogenic New Psychoactive Substances From the Perspectives of e-Psychonauts. Journal of Drug Issues.
    DOI: https://doi.org/10.1177/00220426241283690
  3. Al Hamid, A. (2026). Classifying Students’ Performance in Mathematics in a Multicultural Primary School Using Machine Learning Algorithms.
    DOI: https://doi.org/10.1007/978-981-96-7749-8_12
  4. Al Hamid, A. (2026). Detection of Drugs in Spiked Drinks Using Handheld Infrared and Raman Spectroscopy and Machine Learning Algorithms.
    DOI: https://doi.org/10.1007/978-981-96-7749-8_27
  5. Al Hamid, A. (2026). Underutilization of albuminuria screening in adults with diabetes mellitus or hypertension: a systematic review and meta-analysis. BMC Nephrology.
    DOI: https://doi.org/10.1186/s12882-025-04672-5
  6. Al Hamid, A. (2025). Steroid and illicit drug abuse in the health and fitness community: A systematic review of evidence. Emerging Trends in Drugs, Addictions, and Health.
    DOI: https://doi.org/10.1016/j.etdah.2025.100172

Faisal Almubarak | Decision Sciences | Best Paper Award

Published on by Book of Award

Best Paper Award

Faisal Almubarak
King Saud University, Saudi Arabia

Faisal Almubarak
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 6506045991
Documents 1
Citations 103
h-index 1
Subject Area Decision Sciences
Event International Research Excellence Awards – Book of Award

The Best Paper Award recognizes scholarly publications that demonstrate meaningful contributions to academic knowledge, policy development, and applied research. Faisal Almubarak is associated with research examining urban development dynamics in Saudi Arabia, particularly the relationship between planning policies and residential suburbanization in Riyadh. His work has attracted scholarly attention through citations and has contributed to discussions surrounding urban growth management, land-use planning, and sustainable metropolitan expansion.[1]

Abstract

This article highlights the academic profile of Faisal Almubarak in connection with his research on urban growth boundaries and residential suburbanization in Riyadh, Saudi Arabia. The study investigated how planning policies influence urban expansion patterns and residential development trends. Through analysis of metropolitan growth dynamics, the work contributed to understanding urban planning challenges within rapidly developing cities and offered insights relevant to sustainable development strategies.[2]

Keywords

Urban Growth Boundary, Residential Suburbanization, Riyadh, Urban Planning, Land Use Policy, Metropolitan Development, Sustainable Cities, Decision Sciences.

Introduction

Urbanization remains a major topic within planning and policy research. Saudi Arabia has experienced significant metropolitan expansion over recent decades, making the study of urban growth management particularly important. Research addressing residential suburbanization provides valuable evidence regarding demographic shifts, infrastructure demands, and long-term planning priorities.[3]

Research Profile

Faisal Almubarak is associated with research focused on urban development and planning issues in Saudi Arabia. His Scopus-authorized publication record includes scholarly work addressing growth boundary policies and suburban residential expansion. The publication is indexed within international academic databases and has received citation recognition from subsequent studies examining urban planning and regional development.[1]

Research Contributions

  • Examined the effectiveness of urban growth boundary policies.
  • Analyzed residential suburbanization patterns in Riyadh.
  • Contributed evidence supporting sustainable urban planning.
  • Provided insights into metropolitan land-use management.

Publications

The principal publication associated with this recognition is:

  • Mubarak, F.A. (2004). Urban growth boundary policy and residential suburbanization: Riyadh, Saudi Arabia. Habitat International.

Research Impact

The publication has accumulated over one hundred citations, indicating continuing scholarly engagement with its findings. Citation activity suggests that the study remains relevant to researchers investigating urban growth management, suburban development, and regional planning frameworks. Its contribution lies in documenting planning outcomes within a rapidly urbanizing Middle Eastern context.[4]

Award Suitability

Faisal Almubarak’s scholarly work demonstrates characteristics commonly associated with Best Paper Award recognition, including academic relevance, measurable citation impact, methodological contribution, and continuing influence within urban planning literature. The study provides a focused examination of policy-driven urban development and contributes knowledge useful to researchers, planners, and policymakers.[5]

Conclusion

The academic record of Faisal Almubarak reflects a meaningful contribution to the study of urban planning and suburbanization in Saudi Arabia. Through a widely cited publication addressing growth boundary policies in Riyadh, he has contributed to scholarly discussions concerning sustainable urban development and metropolitan planning strategies. These accomplishments support recognition within the International Research Excellence Awards – Book of Award program.

References

  1. Elsevier. (n.d.). Scopus author details: Faisal Almubarak, Author ID 6506045991. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6506045991
  2. Mubarak, F.A. (2004). Urban growth boundary policy and residential suburbanization: Riyadh, Saudi Arabia. Habitat International.
    https://doi.org/10.1016/j.habitatint.2003.10.010
  3. Habitat International Editorial Records. Urban planning and metropolitan development studies.
  4. Citation metrics associated with urban development and planning literature indexed by Scopus.
  5. International Research Excellence Awards – Book of Award. Award evaluation framework and academic recognition criteria.
    bookofaward.com
  6. DOI Foundation. Persistent scholarly identifier information for published research.

Andrea Maria Lingua | Earth and Planetary Sciences | Innovative Research Award

Published on by Book of Award

Innovative Research Award

Andrea Maria Lingua
Politecnico di Torino DIATI, Italy

Andrea Maria Lingua
Affiliation Politecnico di Torino, DIATI
Country Italy
Scopus ID 6507402873
Documents 152
Citations 3379
h-index 28
Subject Area Earth and Planetary Sciences
Event International Research Excellence Awards – Book of Award
ORCID 0000-0002-5930-2711

The Innovative Research Award recognizes distinguished scholarly achievement and sustained scientific contributions within Earth and Planetary Sciences. Andrea Maria Lingua of Politecnico di Torino has developed a notable research profile through interdisciplinary investigations spanning photogrammetry, geomatics, remote sensing, environmental monitoring, artificial intelligence, and geospatial analysis. Her publication record demonstrates continuous engagement with technological innovation and practical applications in environmental assessment, industrial surveying, and natural resource monitoring.[1]

Abstract

Andrea Maria Lingua has established an internationally recognized academic profile through research integrating geospatial technologies, remote sensing methodologies, photogrammetric reconstruction, environmental monitoring, and artificial intelligence. Her scholarly work contributes to the advancement of Earth observation techniques and supports practical applications in climate monitoring, industrial inspection, geomorphological analysis, and environmental management. The breadth of her publications and citation record reflects a sustained commitment to scientific excellence and technological innovation.[1]

Keywords

Photogrammetry, Remote Sensing, Geomatics, Artificial Intelligence, Earth Observation, Environmental Monitoring, Climate Change, Geospatial Analytics.

Introduction

Research in Earth and Planetary Sciences increasingly depends upon advanced sensing technologies and computational analysis. Andrea Maria Lingua’s work has contributed to this evolving landscape through the integration of digital photogrammetry, machine learning, and spatial analytics. Her research addresses practical scientific challenges while supporting methodological advancements across multiple environmental and engineering domains.[2]

Research Profile

With 152 indexed documents, 3,379 citations, and an h-index of 28, Lingua has developed a substantial scholarly portfolio. Her affiliation with Politecnico di Torino has facilitated multidisciplinary collaborations involving environmental sciences, engineering, computer vision, and geospatial data processing. Her studies frequently combine field observations with advanced computational approaches to generate reliable scientific insights.[1]

Research Contributions

  • Development of deep learning methodologies for aerial imagery classification and climate change monitoring.[2]
  • Research on flow-induced network reconfiguration and dispersion dynamics in braided river systems.[3]
  • Advancement of real-time camera pose estimation and augmented reality-guided alignment technologies.[4]
  • Application of photogrammetry and LiDAR techniques for industrial and geological measurements.[5]

Publications

Representative publications include studies on climate change monitoring through deep learning-based aerial image analysis, river network dynamics, augmented reality-assisted industrial alignment, photogrammetric determination of excavation volumes, and automated fish extraction from underwater video datasets. These works illustrate the diversity and practical relevance of her research agenda.[2][4]

Research Impact

The citation performance and international visibility of Lingua’s work indicate broad academic influence. Her contributions support improved environmental assessment, geospatial modeling, industrial surveying, biodiversity monitoring, and digital transformation initiatives. The integration of artificial intelligence with Earth observation technologies has increased the practical utility of her research outcomes across scientific and applied settings.[1]

Award Suitability

Andrea Maria Lingua demonstrates several attributes commonly associated with research excellence awards, including sustained publication productivity, measurable scholarly impact, interdisciplinary collaboration, methodological innovation, and application-oriented scientific outcomes. Her contributions to Earth and Planetary Sciences align closely with the objectives of the International Research Excellence Awards – Book of Award.[1]

Conclusion

The academic record of Andrea Maria Lingua reflects a consistent commitment to advancing geospatial science and environmental monitoring technologies. Through contributions spanning photogrammetry, remote sensing, machine learning, and Earth observation, she has produced research with both scholarly significance and practical value, supporting recognition through the Innovative Research Award.

References

  1. Elsevier. (n.d.). Scopus author details: Andrea Maria Lingua, Author ID 6507402873. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6507402873
  2. Earth. (2026). Deep Learning-Based Classification of Aerial Imagery for Monitoring Climate Change Effects in the Maritime Alps.
    https://doi.org/10.3390/earth7030099
  3. ESSOAr. (2026). How Flow-Induced Network Reconfiguration Shapes Dispersion in Braided Rivers.
    https://doi.org/10.22541/essoar.15004212/v1
  4. ISPRS Journal of Photogrammetry and Remote Sensing. (2026). Close-range Real-time Camera Pose Estimation and AR-guided Alignment for Large-scale Industrial Components.
    https://doi.org/10.1016/j.isprsjprs.2026.02.034
  5. Politecnico di Torino IRIS. (2026). Automatic Grain-size Curve Analyses and Determination of TBM Muck Volume Through Photogrammetry and Apple LiDAR Sensor.
    https://doi.org/10.1007/s12518-026-00717-y
  6. ISPRS Archives. (2025). Automatic Extraction and Counting of Fish from Underwater Videos Using YOLO-Based Deep Learning Algorithms.
    https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-79-2025

Most Cited Paper Award

Published on by Book of Award

Introduction: Welcome to the prestigious 'Most Cited Paper Award,' where excellence meets recognition. This award honors outstanding scholarly achievements and contributions that have significantly impacted their respective fields.

Award Eligibility: Open to researchers and scholars across disciplines, the 'Most Cited Paper Award' recognizes individuals of any age with exceptional qualifications and a proven record of influential publications.

Qualifications and Publications: Candidates must possess a strong academic background, demonstrate noteworthy qualifications, and have authored impactful publications in peer-reviewed journals.

Requirements: Submission requirements include a comprehensive biography, an abstract highlighting the paper's significance, and supporting files. Eligible papers must have achieved a notable number of citations, showcasing their impact on the academic community.

Evaluation Criteria: Submissions will be evaluated based on the depth of research, innovation, and the real-world impact of the paper. The judging panel will consider the quality and quantity of citations, emphasizing the enduring relevance of the work.

Submission Guidelines: Follow the detailed submission guidelines to ensure your entry meets the criteria. Submit your biography, abstract, supporting files, and any additional information through the provided platform before the deadline.

Recognition: Winners of the 'Most Cited Paper Award' will receive widespread recognition for their contributions, further solidifying their standing as leaders in their respective fields.

Community Impact: The awarded papers should showcase a positive impact on the academic and research community, fostering knowledge exchange and inspiring future advancements.

Biography: Provide a concise yet comprehensive biography detailing your academic journey, key accomplishments, and the overarching theme of your contributions.

Abstract and Supporting Files: Craft a compelling abstract summarizing your paper's essence and include supporting files that substantiate its impact and significance.