Ivan Lang | Public Health | Best Researcher Award

Best Researcher Award

       Ivan Lang
Affiliation Medical College of Wisconsin
Country United States
Scopus ID 7101847774
Documents 90
Citations 3,492
h-index 32
Subject Area Public Health
Event Global Diseases Research Awards
ORCID 0000-0002-5210-2258

Ivan Lang — Medical College of Wisconsin

Ivan Lang is presented in this academic recognition profile as a researcher affiliated with the Medical College of Wisconsin in the United States, with Public Health identified as the principal subject area. The supplied bibliometric record lists 90 documents, 3,492 citations, and an h-index of 32 in Scopus. [1]

Abstract

Ivan Lang is identified in the supplied academic profile as a Public Health researcher affiliated with the Medical College of Wisconsin, United States. The profile records a  90 documents, 3,492 citations, and an h-index of 32. An ORCID identifier is also provided for researcher disambiguation. These indicators describe a documented bibliometric profile rather than independently assessing research quality, societal influence, or award outcome. The profile is presented in connection with the Global Diseases Research Awards and the Best Researcher Award category, while recognition remains subject to the applicable evaluation process and category-specific criteria. [1] [2]

Keywords

Public Health; Medical Research; Health Sciences; Researcher Profile; Bibliometrics; Scopus; Research Impact; Scholarly Publications; Citation Analysis; h-index; ORCID; Medical College of Wisconsin; Global Diseases Research Awards; Best Researcher Award. [2]

Introduction

Public Health research encompasses scientific work addressing population health, disease prevention, health systems, epidemiology, and related determinants of health. Researcher profiles can provide structured information about scholarly output and citation activity. In this context, Ivan Lang is presented through supplied institutional and bibliometric information associated with Public Health research. [1]

Research Profile

The supplied profile associates Ivan Lang with the Medical College of Wisconsin and identifies Public Health as the principal subject area. The listed Scopus record contains reports 90 documents, 3,492 citations, and an h-index of 32. These figures represent bibliometric information supplied for this profile. [1]

Research Contributions

The available input identifies Public Health as Ivan Lang’s subject area but does not provide a verified list of specific research topics, study findings, collaborations, or methodological contributions. Accordingly, individual contributions are not attributed here without supporting publication-level evidence. Further assessment should rely on primary publications, institutional records, and indexed scholarly sources. [1] [2]

Publications

The supplied information reports 90 documents in the researcher’s Scopus profile. Because individual publication titles, journal names, publication years, and DOI identifiers were not supplied, no specific article or research finding is attributed in this section. The Scopus author record provides the appropriate source for reviewing indexed publications and associated bibliographic information. [3]

Research Impact

The supplied bibliometric record reports 3,492 citations and an h-index of 32 alongside 90 documents. Citation counts and h-index values are quantitative indicators of indexed scholarly activity, but they do not independently measure methodological quality, practical impact, societal benefit, or the significance of individual publications. Such interpretation requires broader evidence. [2]

Award Suitability

The profile is associated with the Best Researcher Award category of the Global Diseases Research Awards. The documented Public Health affiliation and supplied bibliometric indicators may form part of an academic recognition profile; however, suitability for an award depends on the published category criteria, submitted evidence, review procedures, and final evaluation. This page does not determine an award outcome. [4]

Conclusion

Ivan Lang’s supplied academic profile identifies an affiliation with the Medical College of Wisconsin and a research focus in Public Health. The associated Scopus information records 90 documents, 3,492 citations, and an h-index of 32. These data provide a concise bibliometric overview, while detailed scholarly assessment requires examination of publications and research context. [5]

References

  1. Elsevier. (n.d.). Scopus author details: Ivan Lang, Author ID 7101847774. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7101847774
  2. ORCID. (n.d.). Ivan Lang, ORCID iD 0000-0002-5210-2258. ORCID.
    https://orcid.org/0000-0002-5210-2258
  3. Global Diseases Research Awards. (n.d.). Global Diseases Research Awards.
    https://globaldiseases.org/
  4. Lang, I. M., Medda, B. K., Edeani, F., & Shaker, R. (2025). The pharyngeal phase of swallowing controls deglutitive inhibition. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.
    https://doi.org/10.1152/ajpregu.00136.2025
  5. Lang, I. M., Medda, B. K., & Shaker, R. (2024). Biomechanical increase in cervical esophageal wall tension during peristalsis. American Journal of Physiology-Gastrointestinal and Liver Physiology.
    https://doi.org/10.1152/ajpgi.00049.2024

Mahdi Seify | Public Health | Innovative Research Award

Innovative Research Award

Mahdi Seify
Affiliation University of Northampton
Country United Kingdom
Scopus ID 58026194200
Documents 3
Citations 26
h-index 2
Subject Area Public Health
Event Global Diseases Research Awards

Mahdi Seify is a researcher and academic affiliated with the University of Northampton in the United Kingdom. His documented work connects artificial intelligence, analytics, healthcare applications, project management, and information systems. His research record includes peer-reviewed healthcare analytics research and a 2026 Elsevier chapter concerning artificial intelligence and brain tumour detection.[2]

Abstract

Mahdi Seify is an academic researcher associated with the University of Northampton whose work intersects artificial intelligence, business analytics, healthcare, information systems, and project management. His documented research includes analytical methods for understanding patient experience and general practitioner classification, alongside more recent work applying artificial intelligence and machine learning to biomedical diagnosis. His institutional profile identifies research interests in AI-enhanced management control systems, predictive analytics, AI governance, workflow orchestration, human-in-the-loop automation, and digital technologies. His publication record includes peer-reviewed healthcare research and an Elsevier book chapter addressing AI-assisted brain tumour detection, providing a multidisciplinary basis for recognition within an innovative research context.[2]

Keywords

Mahdi Seify; public health; artificial intelligence; business analytics; healthcare analytics; predictive analytics; machine learning; patient experience; biomedical research; brain tumour detection; AI governance; information systems; innovative research; University of Northampton; Global Diseases Research Awards.[1]

Introduction

Mahdi Seify serves at the University of Northampton, where institutional information identifies him as a Senior Lecturer in Project Management and Business Analytics. His academic activities span analytics, systems thinking, digital transformation, and applied research. His documented healthcare research demonstrates collaboration across business systems, operations, and public-health-oriented applications.[3]

Research Profile

Seify’s institutional research profile describes interests including AI-enhanced management control systems, predictive and causal modelling, AI readiness and governance, workflow orchestration, and human-in-the-loop automation. The Institute of Analytics separately describes his work across artificial intelligence, data analytics, business strategy, predictive analytics, Internet of Things technologies, and system dynamics.[2]

Research Contributions

His documented contributions include healthcare-oriented sentiment analysis, analytical classification of general practitioner feedback, and applications of artificial intelligence to biomedical research. Institutional descriptions also identify predictive analytics, AI governance, and digital technologies as continuing research themes. These areas demonstrate an interdisciplinary connection between computational methods, organisational systems, and healthcare applications.[2]

Publications

Seify’s documented publications include research on patient experience and healthcare classification, as well as a recent Elsevier chapter addressing artificial intelligence and machine learning in brain tumour detection. His institutional profile also records earlier works concerning fraud detection, supply-chain machine learning, information security, and emergency response systems. [3]

Research Impact

The supplied research metrics record three documents, 26 citations, and an h-index of 2 for the specified Scopus profile. These figures describe bibliometric activity associated with the supplied author identifier and should be interpreted according to the coverage and updating practices of Scopus. They provide quantitative context rather than a comprehensive assessment of research quality.[1]

Award Suitability

For an Innovative Research Award profile, Seify’s documented work provides several relevant areas for consideration, including healthcare analytics, artificial intelligence, machine learning, and biomedical applications. His 2023 healthcare study and 2026 Elsevier chapter demonstrate research activity connecting computational approaches with health-related problems. Final award assessment remains subject to the event’s stated review criteria.[4]

Conclusion

Mahdi Seify’s documented academic profile combines artificial intelligence, analytics, healthcare applications, and information systems. His publications demonstrate research addressing patient experience and biomedical diagnosis, while institutional profiles identify broader interests in predictive analytics and responsible AI. The supplied bibliometric information provides additional quantitative context for this academic recognition profile.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mahdi Seify, Author ID 58026194200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58026194200
  2. Pandey, A. R., Seify, M., Okonta, U., & Hosseinian-Far, A. (2023). Advanced Sentiment Analysis for Managing and Improving Patient Experience: Application for General Practitioner (GP) Classification in Northamptonshire. International Journal of Environmental Research and Public Health, 20(12), 6119.
    https://doi.org/10.3390/ijerph20126119
  3. Seify, M., Jalali Moghaddam, M., Sarwar, D., Hansani, W. K., Thiwanthika, K. P. D., Frahmand, A., Osadugba, T., Dang, T. D., Ghashami, H., & Hosseinian Far, A. (2026). Revolutionising Brain Tumour Detection: Integrating AI and Machine Learning for Enhanced Diagnostic Accuracy and Healthcare Efficiency. In Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare. Elsevier.
    https://doi.org/10.1016/B978-0-443-40379-8.00009-0
  4. Global Diseases Research Awards. (n.d.). Global Diseases Research Awards official website.
    https://globaldiseases.org/

 

Daniel Lopez-Hernandez | Public Health | Research Excellence Award

Dr. Daniel Lopez-Hernandez | Public Health | Research Excellence Award

Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado | Mexico

Dr. Daniel López-Hernández is a researcher affiliated with the Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico, with expertise rooted in applied medical and health sciences that support evidence-based public health and clinical practice. He has authored 16 peer-reviewed publications, which together have received 361 citations, reflecting the relevance and visibility of his work within the scientific community. With an h-index of 7, his research demonstrates consistent scholarly impact and influence. Dr. López-Hernández has collaborated with over 40 co-authors, highlighting strong interdisciplinary and international research engagement. His contributions address real-world health challenges, strengthening healthcare delivery systems and informing policy and clinical decision-making. Through sustained research productivity and collaboration, his work contributes to improving health outcomes and advancing medical knowledge with tangible societal benefit.

Citation Metrics (Scopus Preview)

361
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361

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16

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7

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Note: h-index details are disabled in Scopus Preview mode.

View Scopus Profile   View Google Scholar Profile
Top 5 Featured Publications

Jin Hu | Public Health | Excellence in One Health Research

Dr. Jin Hu | Public Health | Excellence in One Health Research 

Tsinghua School of Medicine | China

Dr. Jin Hu is an Associate Professor at the Tsinghua School of Medicine, Beijing, China, with established expertise in biomedical and translational medical research. The author has published 14 peer-reviewed documents indexed in Scopus, receiving 985 citations and achieving an h-index of 12, reflecting consistent scholarly impact. Research contributions are recognized internationally through collaboration with 36 co-authors across interdisciplinary teams, supporting innovation in medical science and evidence-based healthcare. Hu Jin’s work advances scientific understanding with practical relevance, contributing to improved research capacity, knowledge dissemination, and long-term societal benefits in health and medicine at both national and global levels.

Citation Metrics (Scopus)

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985

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View Scopus Profile

Top 5  Featured Publications

Ashenafi Gebremarian | Public Health | Editorial Board Member

Assoc. Prof. Dr. Ashenafi Gebremarian | Public Health | Editorial Board Member

Huazhong Agricultural University | China

Assoc. Prof. Dr. Ashenafi Gebremariam is an emerging scholar and academic professional at Huazhong Agricultural University, Wuhan, China, recognized for his early yet growing contributions to agricultural and veterinary sciences. His Scopus-indexed research portfolio includes two peer-reviewed publications supported by two citations, reflecting the initial stages of academic impact and the steady visibility of his work in global scholarly circles. With an h-index of 1, he demonstrates a developing research trajectory that is expanding through specialized studies in animal health, agricultural biotechnology, and related life-science disciplines. Dr. Gebremariam’s collaboration with at least eight co-authors signals his active engagement in multidisciplinary research environments and underscores his commitment to knowledge exchange, methodological rigor, and international scientific cooperation. His academic affiliation with a leading agricultural institution places him at the forefront of research aimed at enhancing food security, livestock productivity, and sustainable agricultural systems. Although his publication record is still in its formative phase, his contributions reflect a clear dedication to generating evidence-based insights that address societal needs, support innovation, and strengthen global agricultural resilience. As his research continues to evolve, Assoc. Prof. Dr. Gebremariam is positioned to expand his scholarly influence through high-quality publications, impactful collaborations, and continued advancement in the fields of veterinary and agricultural sciences.

Profiles: Scopus | ORCID

Featured Publications

1.Shi, Y., Peng, G., Gebremariam, A. A., Iqbal, M. M., Baghaei Daemi, H., Khan, M. A., Ullah, R., & Wang, D. (2024). Analytical insights, modulation and compositional dynamics of the feline gut microbiota: a review. Animal Diseases, Article 00140. Cited by: 2.

2. Fentie, T., Teshome, Y., Ayele, B., Molla, W., Fenta, N., Nigatu, S., Assefa, A., & Leta, S. (2018). Sero-epidemiological study of peste des petits ruminants in small ruminants in Amhara region, Ethiopia. Comparative Clinical Pathology, 27(4), 1029–1036. https://doi.org/10.1007/s00580-018-2697-2 — Cited by: 15.

3. Fentie, T., Fenta, N., Leta, S., Molla, W., Ayele, B., Teshome, Y., Nigatu, S., & Assefa, A. (2017). Sero-prevalence, risk factors and distribution of sheep and goat pox in Amhara Region, Ethiopia. BMC Veterinary Research, 13, Article 385. https://doi.org/10.1186/s12917-017-1312-0 — Citation count not reliably available from publicly accessible sources at this time

Assoc. Prof. Dr. Ashenafi Gebremariam advances veterinary and agricultural science through research that strengthens animal health, productivity, and sustainable livestock systems. His work contributes to improved disease understanding and supports innovations that enhance food security and the resilience of global animal agriculture.

Daouda SAMA | Public Health | Best Researcher Award

Dr. Daouda SAMA | Public Health | Best Researcher Award

Adjunct Professor at University of Lomé ,Togo

Dr. Daouda Sama is an Adjunct Professor at the Department of Earth Sciences, University of Lomé, Togo. Specializing in environmental geochemistry, his work focuses on pollutant dispersion, health risk assessments, and sustainable coastal management. He has significantly contributed to West African environmental science by modeling industrial emissions and their ecological and human health impacts. His research incorporates advanced tools like AERMOD and Delft3D, bridging scientific understanding and practical application. Dr. Sama has led or contributed to over 40 consultancy projects, guiding environmental impact assessments for major industrial and government clients across West Africa. His academic contributions include 8 peer-reviewed articles in international journals, and he serves as a certified peer reviewer. Actively collaborating with local and international partners, he plays a pivotal role in projects addressing marine pollution, groundwater quality, and regulatory compliance. His work is shaping environmental policy and enhancing ecosystem resilience in developing regions.

Professional Profiles

Scopus | Orcid

Education 

Dr. Daouda Sama has pursued an academically rich path rooted in earth and environmental sciences. He earned his Bachelor’s degree in Geology, followed by a Master’s degree in Hydrology and Hydrogeology from the University of Lomé. He later completed his Ph.D. in Systemic Geochemistry and Multimodal Modeling from the same institution. His doctoral research focused on integrating pollutant dispersion modeling with geochemical assessments to evaluate the health risks of industrial emissions and water contamination. Throughout his studies, he demonstrated a strong interdisciplinary approach, merging geological sciences with public health and environmental policy. His academic journey has been guided by prominent mentors, particularly Prof. Kissao Gnandi, under whose leadership he developed innovative frameworks for environmental monitoring and adaptive quality standards. His educational background has provided a solid foundation for his dual roles in academia and consultancy, allowing him to contribute to both research and applied environmental management.

Experience 

Dr. Daouda Sama brings extensive professional experience from academia, consultancy, and field-based research. As an Adjunct Professor at the University of Lomé, he has taught both undergraduate and graduate courses in earth sciences and has led significant research on geochemistry and pollution assessment. Beyond academia, he has participated in numerous consultancy projects addressing environmental impact assessment, pollution monitoring, geospatial mapping, and water resource management. His clients span national and international institutions, including GIZ, the World Bank, and industrial entities like Dangote and Contour Global. He has worked on projects involving mining waste, coastal pollution, and aquifer contamination across Togo, Benin, Niger, and Congo. His technical roles have included lead analyst, hydrogeologist, and geospatial expert. He is skilled in AAS, spectrophotometry, and modeling software such as Delft3D and AERMOD. His work has directly contributed to policy frameworks, regulatory compliance, and sustainable environmental management in West Africa.

Research Focus 

Dr. Sama’s research centers on environmental geochemistry and its implications for public health and ecosystem resilience. He specializes in modeling the dispersion of pollutants from industrial sources using advanced tools such as AERMOD and Delft3D, enabling receptor-specific risk evaluations near vulnerable sites like schools and clinics. His studies assess the geochemical behavior of mining waste and the bioavailability of contaminants in aquatic systems, particularly along the Gulf of Guinea. He is currently advancing adaptive frameworks for air and water quality that are contextually suited for West African environments. His projects range from modeling the hydrodynamic effects of phosphate discharge to tracking metal pollution in fish and agricultural products. Dr. Sama’s interdisciplinary work integrates geochemistry, public health, and environmental policy, offering practical solutions for pollution mitigation and sustainable development. His research directly supports national and regional efforts to monitor environmental risks, promote regulatory compliance, and protect both ecosystems and communities.

Publication Top Notes

Title: Toxic Trajectories: Modeling Heavy Metal-Laden Phosphate Dust Dispersion and Multi-Receptor Health Risks Near Kpémé’s Industrial Zone

Journal: Results in Engineering

Summary:
This study presents an environmental modeling approach to trace the dispersion of phosphate dust contaminated with heavy metals from industrial activities in Kpémé, Togo. Using advanced atmospheric and geographic modeling tools, the research evaluates how toxic particles travel and affect various environmental and human receptors. The findings reveal elevated risk zones, highlighting vulnerable populations and ecosystems exposed to chronic contamination. The work contributes to industrial pollution management and public health risk assessment by offering a spatially explicit framework for multi-receptor analysis.

Conclusion 

Dr. Daouda Sama exemplifies the synergy of research, teaching, and field-based environmental consultancy. Through a decade of academic and professional contributions, he has established himself as a leader in environmental geochemistry in West Africa. His innovative methods for pollutant dispersion and health risk modeling have shaped environmental policies and regulatory practices in Togo and beyond. As an educator, he fosters critical scientific thinking and environmental responsibility among students. As a consultant, he has provided actionable insights to major stakeholders in industry, government, and international organizations. His scholarly publications and peer review activities reflect his commitment to scientific excellence. Looking ahead, Dr. Sama aims to deepen regional collaborations, expand his geochemical modeling research, and advocate for sustainable industrial practices grounded in data-driven environmental science. His work continues to bridge scientific knowledge and public policy, contributing to a healthier, more resilient future for West African communities and ecosystems.