Ivan Lang | Public Health | Best Researcher Award

Published on by Global Diseases Research

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

Published on by Global Diseases Research

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/

 

Audrey Roulston | Public Health | Innovative Research Award

Published on by Global Diseases Research

Innovative Research Award

Audrey Roulston
Queen’s University Belfast

                     Audrey Roulston
Affiliation Queen’s University Belfast
Country United Kingdom
Scopus ID 55344838000
Documents 48
Citations 848
h-index 15
Subject Area Public Health
Event Global Diseases Research Awards
ORCID 0000-0002-7446-6116

Audrey Roulston is a public health researcher affiliated with Queen’s University Belfast, United Kingdom. Her research activities contribute to advancing knowledge in public health through scholarly investigations, evidence-based approaches, and interdisciplinary collaboration. Her academic profile reflects contributions through peer-reviewed publications, research outputs, and engagement with contemporary health-related challenges. [1]

Abstract

Audrey Roulston’s research profile represents academic contributions within the field of public health, focusing on evidence generation, healthcare improvement, and population-level research approaches. Her scholarly work demonstrates engagement with contemporary health issues through systematic investigation, collaboration, and dissemination of findings. Her recognition through the Innovative Research Award highlights her contribution to advancing research practices and supporting scientific development within public health disciplines. [1]

Keywords

Public Health, Health Research, Evidence-Based Research and Research Innovation

Introduction

Public health research plays a significant role in understanding health determinants, improving healthcare systems, and developing effective interventions. Researchers working in this field contribute through population studies, policy-oriented research, and evidence-based solutions. Audrey Roulston’s academic activities align with these objectives through contributions to public health scholarship and research communication. [1]

Research Profile

Audrey Roulston is associated with Queen’s University Belfast and has established a research profile within public health. According to indexed academic records, she has contributed 48 research documents with 848 citations and an h-index of 15, reflecting scholarly engagement and research visibility. [2]

Research Contributions

Her research contributions involve the development and application of public health knowledge through academic studies and collaborative research activities. Such contributions support improved understanding of healthcare challenges and provide evidence that may inform future research directions and public health strategies. [2]

Publications

Audrey Roulston’s publication record demonstrates participation in scholarly communication through peer-reviewed research outputs. Her publications contribute to discussions within public health and related research areas, supporting knowledge exchange among researchers, practitioners, and academic institutions. [3]

Research Impact

Research impact can be evaluated through publication activity, citation performance, academic collaboration, and contribution to scientific knowledge. Audrey Roulston’s citation record and h-index indicate measurable recognition within academic databases and demonstrate continued engagement with the research community. [4]

Award Suitability

The Innovative Research Award recognizes researchers demonstrating meaningful contributions, research excellence, and scientific advancement. Audrey Roulston’s academic record, public health focus, and research contributions align with the objectives of recognizing innovative approaches in global scientific research. [2]

Conclusion

Audrey Roulston represents an active contributor to public health research through scholarly publications, academic engagement, and research achievements. Her recognition with the Innovative Research Award reflects appreciation of her contributions toward advancing knowledge and supporting research excellence within the global scientific community. [5]

References

  1. Elsevier. (n.d.). Scopus author details: Audrey Roulston, Author ID 55344838000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55344838000
  2. Global Diseases Research Awards. (n.d.). Innovative Research Award Recognition.
    https://globaldiseases.org/
  3. Roulston, A., Mackle, D., Ross, J., Montgomery, L., MacDermott, D., Boyle, S., McFadden, P., & Hayes, D. (2026). Promoting staff retention in social work: Identifying the ‘push’ and the ‘pull’ factors from the perspective of newly qualified social workers. The British Journal of Social Work, 56(4), 1399–1419.
    https://doi.org/10.1093/bjsw/bcaf152

  4. McIlfatrick, S., Hasson, F., McLaughlin, D., Johnston, G., Roulston, A., Rutherford, L., Noble, H., Kelly, S., Craig, A., & Kernohan, W. G. (2013). Public awareness and attitudes toward palliative care in Northern Ireland. BMC Palliative Care, 12, Article 34. https://doi.org/10.1186/1472-684X-12-34

  5. McIlfatrick, S., Noble, H., McCorry, N. K., Roulston, A., Hasson, F., McLaughlin, D., Johnston, G., Rutherford, L., Payne, C., Kernohan, G., Kelly, S., & Craig, A. (2014). Exploring public awareness and perceptions of palliative care: A qualitative study. Palliative Medicine, 28(3), 273–280.
    https://doi.org/10.1177/0269216313502372

Daniel Lopez-Hernandez | Public Health | Research Excellence Award

Published on by Global Diseases Research

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
270
180
`16
0

Citations

361

Documents

16

h-index

7

Citations

Documents

h-index

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

View Scopus Profile   View Google Scholar Profile
Top 5 Featured Publications

Ashenafi Gebremarian | Public Health | Editorial Board Member

Published on by Global Diseases Research

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.

Monica Bhutani | Public Health | Editorial Board Member

Published on by Global Diseases Research

Dr. Monica Bhutani | Public Health | Editorial Board Member

Associate Professor | Bharati Vidyapeeth’s College of Engineering | India

Dr. Monica Bhutani is a distinguished researcher and academician at Bharati Vidyapeeth’s College of Engineering, New Delhi, India, recognized for her extensive contributions to computer science, information technology, and interdisciplinary innovations in artificial intelligence (AI), Internet of Things (IoT), and secure computing. With over 52 publications and 108 citations across 77 documents, her research demonstrates a strong commitment to advancing digital intelligence frameworks, data security architectures, and sustainable technological systems. Her recent works, including studies on AI-IoT convergence for sustainable agriculture, information dissemination networks, and secure image encryption using optimized chaotic sequences, highlight her focus on developing smart, energy-efficient, and cyber-resilient systems that address modern digital and environmental challenges. Dr. Bhutani’s scholarly collaborations with over 140 co-authors worldwide reflect her global engagement and interdisciplinary outlook, fostering impactful research networks across academia and industry. Her authorship of the book “Development and Management of Eco-Conscious IoT Medical Devices” further underscores her vision for integrating technology with environmental and healthcare sustainability. With an h-index of 6, she has consistently contributed to the global dialogue on intelligent systems design, information security, and digital transformation. Dr. Bhutani’s academic and research pursuits exemplify excellence in engineering education and innovation, bridging scientific theory with practical solutions that enhance societal well-being through technology-driven sustainability, secure communication systems, and data-driven decision-making.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Bhutani, M., Lall, B., & Agrawal, M. (2022). Optical wireless communications: Research challenges for MAC layer. IEEE Access, 10, 126969–126989. Cited by: 30

2. Goyal, R., Elawadhi, O., Sharma, A., Bhutani, M., & Jain, A. (2024). Cloud-connected central unit for traffic control: Interfacing sensing units and centralized control for efficient traffic management. International Journal of Information Technology, 16(2), 841–851. Cited by: 18

3. Bhutani, M., Lall, B., & Dixit, A. (2021). MAC layer performance modelling for IEEE 802.15.7 based on discrete-time Markov chain. IET Communications, 15(14), 1883–1896. Cited by: 14

4. Dr. Karthick Ganesan, D. M. B., Radhakrishnan, K., Manohar, K., & Bhutani, M. (2024). Automated dairy cow health monitoring and milking machine. US Patent 6,382,814. Cited by: 13*

5. Bhutani, M., Lall, B., & Agrawal, M. (2023). A novel energy-efficient adaptive superframe structure for OWC-based real-time bio-sensor networks. Peer-to-Peer Networking and Applications, 16(6), 3021–3031. Cited by: 10