Laila Aladwey | Innovation in Data Analysis | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Laila Aladwey
Affiliation Imam Mohammad Ibn Saud Islamic University
Country Saudi Arabia
Scopus ID 57223873822
Documents 18
Citations 176
h-index 7
Subject Area Innovation in Data Analysis
Event Research Data Analysis Awards
ORCID 0000-0003-4445-4138

Laila Aladwey
Imam Mohammad Ibn Saud Islamic University

Laila Aladwey is a researcher affiliated with Imam Mohammad Ibn Saud Islamic University, Saudi Arabia, whose scholarly work focuses on innovation in data analysis and related computational methodologies. Her publication record, citation performance, and sustained research activity demonstrate continued contributions to analytical research and interdisciplinary scientific development.[1]

Abstract

This article summarizes the academic profile of Laila Aladwey, highlighting research productivity, scholarly influence, and contributions within innovation in data analysis. The profile reflects measurable research indicators and recognized publication activity across peer-reviewed scientific literature.[2]

Keywords

Innovation in Data Analysis, Data Science, Computational Analytics, Machine Learning, Artificial Intelligence, Scientific Research, Information Systems, Research Evaluation.

Introduction

Innovation in data analysis supports evidence-based decision-making by combining computational techniques with domain knowledge. Researchers in this field contribute to improved analytical methods, data interpretation, and scientific advancement across multidisciplinary applications.[3]

Research Profile

Laila Aladwey has authored 18 indexed publications with 176 citations and an h-index of 7. These indicators illustrate consistent scholarly engagement and a growing academic presence within innovation-oriented data analysis research.[1]

Research Contributions

Her research contributes to analytical methodologies, intelligent data processing, and practical applications that support knowledge discovery. The published studies demonstrate interdisciplinary collaboration and methodological development aligned with current research priorities.[4]

Publications

The publication portfolio includes peer-reviewed journal articles indexed in internationally recognized databases. These works collectively strengthen research visibility while supporting ongoing scientific communication and academic collaboration.[2]

Research Impact

Citation metrics and publication performance indicate that the research has received measurable scholarly attention. Such indicators provide evidence of academic influence and continuing engagement within the broader research community.[5]

Award Suitability

Based on available scholarly metrics, publication quality, and demonstrated research activity, Laila Aladwey presents a profile consistent with recognition in academic excellence programs emphasizing innovation in data analysis and research contributions.[1]

Conclusion

The available bibliometric evidence reflects a productive academic career supported by peer-reviewed publications and recognized citation performance. Continued research activity is expected to further strengthen contributions to innovation in data analysis and interdisciplinary scientific research.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Laila Aladwey, Author ID 57223873822. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57223873822
  2. ORCID. (n.d.). ORCID record for Laila Aladwey.
    https://orcid.org/0000-0003-4445-4138
  3. Aladwey, L. M. A., Mkadmi, J. E., Necib, A., & Zehri, F. (2026). The relationship between corporate governance and stock returns: The moderating role of intellectual capital. Social Sciences & Humanities Open, 102489
  4. Aladwey, L. M. A. (2026). Does board diversity influence green revenue and firm value? Evidence from an emerging market. Emerging Science Journal, 10(1), 25
    https://oipub.com/papers/401122932
  5. Aladwey, L., Elsayed, M. F. M., & Diab, A. (2025). Breaking barriers: Gender diversity, ESG, and corporate misconduct in the GCC region. Risks, 13(5), 97.
    https://www.mdpi.com/2227-9091/13/5/97

Gosha Colquhoun | Innovation in Data Analysis | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Gosha Colquhoun
Edinburgh Napier University, United Kingdom

Gosha Colquhoun
Affiliation Edinburgh Napier University
Country United Kingdom
Scopus ID 60079888200
Documents 5
Citations 1
h-index 1
Subject Area Innovation in Data Analysis
Event Research Data Analysis Awards
ORCID 0000-0003-3857-2090

Gosha Colquhoun is affiliated with Edinburgh Napier University and contributes to research associated with innovation in data analysis and interdisciplinary academic investigation. The available scholarly profile demonstrates participation in internationally indexed publications and emerging research visibility through Scopus-indexed outputs and citation records.[1]

Abstract

This article summarizes the academic profile of Gosha Colquhoun and highlights scholarly activities related to innovation in data analysis. The overview reflects publication records, research engagement, and academic visibility documented through recognized indexing platforms.[1]

Keywords

Innovation, Data Analysis, Research Methods, Academic Publications, Scopus, Knowledge Discovery, Interdisciplinary Research, Research Impact.

Introduction

Innovation in data analysis supports evidence-based research across multiple disciplines by enabling accurate interpretation of complex information. Researchers working in this area contribute to methodological development and practical applications supported by scholarly publication.[2]

Research Profile

Gosha Colquhoun’s research profile includes five Scopus-indexed documents with an h-index of one and an emerging citation record. The available metrics indicate active participation in academic research and ongoing scholarly development.[1]

Research Contributions

The published work reflects contributions to innovation-oriented research with emphasis on analytical approaches and collaborative academic inquiry. These studies enhance understanding within relevant research domains while supporting future investigations.[3]

Publications

The publication portfolio demonstrates participation in peer-reviewed scholarly communication indexed through Scopus. These publications contribute to the dissemination of research findings and encourage continued academic collaboration.[1]

Research Impact

Current citation indicators represent an early stage of measurable academic impact while providing a foundation for future scholarly recognition. Continued publication activity is expected to strengthen research visibility and academic influence.[4]

Award Suitability

The research profile demonstrates commitment to innovation and scholarly dissemination, aligning with the objectives of the Research Data Analysis Awards. Academic productivity, institutional affiliation, and indexed publications provide a suitable basis for recognition.[5]

Conclusion

Gosha Colquhoun represents an emerging researcher contributing to innovation in data analysis through scholarly publications and academic engagement. Continued research activity is expected to expand both research impact and professional recognition within the academic community.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Gosha Colquhoun, Author ID 60079888200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60079888200
  2. ORCID. (n.d.). Research profile of Gosha Colquhoun.
    https://orcid.org/0000-0003-3857-2090
  3. Al Bayrakdar, A., Colquhoun, G., Dragone, M., McConnell, A., & Paterson, R. (2026). Co-designing a socially assistive robot intervention for diabetes self-management: Perspectives of adults living with diabetes. International Journal of Social Robotics. Advance online publication.
    https://link.springer.com/article/10.1007/s12369-026-01383-1
  4. Mawson, P., Morton, M., Walmsley, Z., Wafer, R., Hancock, H. C., Mossop, H., Al-Ashmori, S., Emerson, L. M., Smith, J., Colquhoun, G., et al. (2026). SHORTER trial: Protocol for a pragmatic, multicentre, randomised controlled trial of short-duration antibiotic therapy for critically ill patients with sepsis. BMJ Open. Advance online publication.
    https://bmjopen.bmj.com/content/16/3/e117142
  5. Colquhoun, G., Smith, J., & Ring, N. (2026). Invisible yet indispensable: Why clinical research nursing remains a neglected policy priority. Journal of Clinical Nursing. Advance online publication.

Mamorena Lucia Matsoso | Quantitative Research | Research Excellence Award

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Dr. Mamorena Lucia Matsoso | Quantitative Research | Research Excellence Award

University of Johannesburg | South Africa

Mamorena Lucia Matsoso is an accomplished academic and business professional specializing in business administration, entrepreneurship, and sustainable supply chain management. She earned her Ph.D. in Business Administration from the University of Cape Town, focusing on entrepreneurial motivation and sustainability practices in SMEs. With a strong academic foundation in cost and management accounting, she has built an extensive career as a Senior Lecturer, researcher, and academic leader. Dr. Matsoso has authored numerous peer-reviewed publications and contributed to international conferences, with research interests spanning sustainability, supply chains, and SME performance in developing economies.

Citation Metrics (Scopus)

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10

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Tubanur Avcı | Engineering | Research Excellence Award

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Dr. Tubanur Avcı | Engineering | Research Excellence Award

Marmara University, Department of Metallurgical and Materials Engineering | Turkey

Tubanur Avcı is an emerging researcher in metallurgical and materials engineering at Marmara University, currently pursuing her PhD with a strong focus on advanced biomaterials and nanotechnology. She previously completed her MSc and BSc at Gebze Technical University, where she built a solid foundation in materials science. Her research experience includes participation in TÜBİTAK and international projects, contributing to innovations in nanofibers, bioprinting, and tissue engineering. With multiple peer-reviewed publications and conference presentations, including an award-winning performance, she demonstrates promising expertise in material characterization, polymer processing, and biomedical applications.

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19

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Palma Rocchi | Qualitative Research | Women Researcher Award

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Prof Dr. Palma Rocchi | Qualitative Research | Women Researcher Award

Inserm ERLU1326 RNANoTHER | France

Dr. Palma Rocchi is a distinguished oncology researcher and Director of the RNAnoTher unit at Inserm in Marseille. With a PhD in Oncology from Aix-Marseille University, she has built an exceptional career in cancer research, particularly in prostate cancer and mRNA-based therapeutics. Author of over 120 publications and holder of 17 patents, her work has garnered significant global recognition with a high citation impact. Dr. Rocchi has led numerous funded projects, founded a biotech startup, and supervised extensive academic research, demonstrating excellence in innovation, leadership, and translational medicine.

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6,343

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KAMURAN GÖRGÜN | Interdisciplinary Data Insights | Women Researcher Award

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Mrs. KAMURAN GÖRGÜN | Interdisciplinary Data Insights | Women Researcher Award

Skisehir Osmangazi University | Turkey

Assoc. Prof. Dr. Kamuran Görgün is a distinguished academic in chemistry at Eskişehir Osmangazi University, with extensive expertise in organic synthesis, nanomaterials, and spectroscopic analysis. She earned her PhD, MSc, and BSc in Chemistry from the same institution and has progressed from research assistant to associate professor. Her research focuses on semiconductor materials, dye-sensitized solar cells, and advanced molecular design. With over 90 publications, significant citations, and multiple funded projects, she has made notable contributions to materials science and renewable energy research. Dr. Görgün is also actively involved in teaching undergraduate and postgraduate courses and mentoring emerging researchers.

Citation Metrics (Scopus)

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258

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25

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Mahmoud fathy | Quantitative Research | Research Excellence Award

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Assist Prof Dr. Mahmoud fathy | Quantitative Research | Research Excellence Award

Epri | Egypt

Assist Prof Dr. Mahmoud Fathy Mubarak is an accomplished researcher and Associate Professor of Applied Physical Chemistry at the Egyptian Petroleum Research Institute, with extensive expertise in water treatment and desalination technologies. He holds a PhD from Banha University, focusing on nanostructured materials for highly saline water purification. With over a decade of progressive experience, he has contributed significantly to research, teaching, and advanced analytical services. Dr. Mubarak has supervised numerous master’s and doctoral theses and actively participates in sustainable water management initiatives, developing innovative nanocomposite materials for wastewater treatment, environmental protection, and industrial applications.

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3,262

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146

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Teddy Samo | Machine Learning Applications | Research Excellence Award

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Mr. Teddy Samo | Machine Learning Applications | Research Excellence Award

Kenyatta University | Kenya

Mr. Samo Teddy Miller is an experienced energy and development professional with over eight years of expertise in clean energy access, renewable energy systems, and donor-funded program implementation. Currently serving as a Technical Advisor at GIZ Kenya, he specializes in off-grid solar solutions, productive use of energy, and monitoring, evaluation, and learning (MEL) systems. With a strong background in energy engineering, he has successfully managed multi-stakeholder projects, budgets, and operational systems across diverse regions. His work emphasizes sustainable development, stakeholder engagement, and innovative energy solutions, contributing significantly to improving energy access in underserved communities.

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Rifumo Chauke | Quantitative Research | Research Excellence Award

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Mr. Rifumo Chauke | Quantitative Research | Research Excellence Award

University of Pretoria | South Africa

Mr. Rifumo Chauke is a PhD candidate in Physics at the University of Pretoria, specializing in nuclear materials science and advanced data analysis. With a strong academic foundation in astrophysics, his research focuses on defect modeling, multi-technique data synthesis, and the characterization of silicon carbide under irradiation. He possesses hands-on expertise in laboratory techniques such as AFM, Raman spectroscopy, RBS, TEM, and SEM, alongside proficiency in Python, data visualization, and statistical analysis. Rifumo has demonstrated leadership through tutoring and research roles, contributing to academic mentorship and collaborative projects, and is actively transitioning into data science applications within mining and industrial sectors.

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36

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3

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Xueye Chen | Regression analysis | Research Excellence Award

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Prof. Xueye Chen | Regression analysis | Research Excellence Award

Ludong University | China

Professor Xueye Chen is a distinguished academic at Ludong University, serving as a permanent Professor in the College of Transportation since March. With a doctoral degree and over 11 years of professional experience, his expertise lies in MEMS, with a strong research focus on microfluidics and flexible intelligent sensing systems. He has authored 174 high-impact journal publications in leading outlets such as Physics of Fluids, Chemical Engineering Journal, and ACS Applied Materials & Interfaces. His research spans wearable technologies, healthcare, and modern agriculture, emphasizing micro-nano manufacturing and advanced sensing applications. Recognized for his excellence, he has led multiple funded projects and holds several patents, contributing significantly to innovation in intelligent systems and health monitoring.

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