Hamiyet KIZIL | Virtual Reality Analytics | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Hamiyet KIZIL
University of Helath Science, Turkey
Researcher Information
Affiliation University of Helath Science
Country Turkey
Scopus ID 57203455656
Documents 11
Citations 70
h-index 4
Subject Area Virtual Reality Analytics
Event International Research Data Analysis Excellence
ORCID 0000-0002-0722-589X

The Best Researcher Award recognizes scholarly excellence, sustained research productivity, and meaningful academic contributions. This profile presents an overview of Hamiyet KIZIL’s research background, publication record, research impact, and suitability for academic recognition within the field of Virtual Reality Analytics.[1]

1. Abstract

This article summarizes the academic profile of Hamiyet KIZIL, emphasizing research productivity, publication metrics, scholarly influence, and professional recognition in Virtual Reality Analytics. The overview highlights measurable academic indicators supporting consideration for the Best Researcher Award.[1]

2. Keywords

Best Researcher Award; Virtual Reality Analytics; Academic Research; Scopus Author; Research Excellence; Scientific Publications; Citation Analysis; Research Impact.

3. Introduction

Research excellence reflects innovation, methodological rigor, and meaningful scientific contribution. Hamiyet KIZIL has developed scholarly work in Virtual Reality Analytics through peer-reviewed publications and collaborative research. Academic indicators, including citations and publication performance, provide evidence supporting recognition for sustained scientific achievement.[1]

4. Research Profile

Affiliated with the University of Helath Science, Hamiyet KIZIL maintains an active research profile focused on Virtual Reality Analytics. The documented Scopus publications, citation record, and h-index demonstrate continued scholarly engagement and measurable academic productivity across interdisciplinary research activities.[2]

5. Research Contributions

The research contributions emphasize evidence-based methodologies, interdisciplinary collaboration, and analytical applications of virtual reality technologies. Published findings contribute to knowledge development while supporting future investigations, encouraging innovation, and promoting practical implementation across relevant academic and professional environments.[2]

6. Publications

The researcher has produced eleven indexed publications demonstrating consistent scholarly output. These publications address emerging themes within Virtual Reality Analytics and collectively contribute to scientific communication through peer-reviewed journals, supporting knowledge dissemination and continued academic advancement.[2]

7. Research Impact

Research impact is reflected through citation performance, academic visibility, and measurable scholarly influence. With seventy citations and an h-index of four, the published work demonstrates continuing relevance while supporting future research, interdisciplinary collaboration, and evidence-based scientific progress.[2]

8. Award Suitability

The documented publication record, citation metrics, institutional affiliation, and sustained research activities collectively indicate strong eligibility for academic recognition. These measurable achievements align with evaluation criteria commonly applied to prestigious research excellence and Best Researcher Award programs.[3]

9. Conclusion

Hamiyet KIZIL demonstrates a consistent commitment to scholarly research, publication quality, and scientific advancement. The available academic indicators present a balanced profile reflecting sustained productivity, measurable research influence, and continued contributions deserving consideration within international academic recognition initiatives.[3]

10. External Links

11. References

  1. Effect of virtual reality and music therapy on physiological parameters, pain and anxiety during nursing procedures in ICU patients: A randomized controlled trial.

    https://www.sciencedirect.com/science/article/abs/pii/S2173572726000214
  2. Nursing Practices in Constipation Symptom Management: Systematic Review.

    https://www.researchgate.net/publication/408559071_Nursing_Practices_in_Constipation_Symptom_Management_Systematic_Review
  3. The effect of computer-based simulation training on aspiration skills and general self-efficacy beliefs of nursing students: A randomized controlled trial.

    https://www.researchgate.net/publication/400691024_The_effect_of_computer-based_simulation_training_on_aspiration_skills_and_general_self-efficacy_beliefs_of_nursing_students_A_randomized_controlled_trial

Alfatma Salama | Data Analysis Innovation | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Alfatma Salama
Researcher Alfatma Salama
Affiliation Princess Nourah bint Abderhman University
Country Saudi Arabia
Scopus ID 57226770697
Documents 1
Citations 1
h-index 1
Subject Area Data Analysis Innovation
Event Research Data Analysis Awards
ORCID 0000-0002-9591-0853

Alfatma Salama
Princess Nourah bint Abderhman University

Alfatma Salama is affiliated with Princess Nourah bint Abderhman University, Saudi Arabia. Her scholarly activities focus on data analysis innovation, emphasizing analytical methodologies that contribute to evidence-based research and practical decision-making. Her publication record demonstrates an emerging contribution to interdisciplinary data-driven studies and academic collaboration.[1]

Abstract

This article summarizes the academic profile of Alfatma Salama, highlighting contributions to data analysis innovation and research methodology. Her work supports systematic interpretation of research data and promotes reliable analytical practices across scientific disciplines.[2]

Keywords

Data Analysis Innovation, Statistical Modeling, Research Analytics, Quantitative Analysis, Decision Support Systems, Data Interpretation, Scientific Research, Academic Analytics, Information Management, Digital Research.

Introduction

Modern research increasingly depends on advanced analytical approaches to transform complex datasets into meaningful knowledge. Contributions in this area strengthen research quality, reproducibility, and evidence-based scientific decision-making.[3]

Research Profile

Alfatma Salama has developed a focused research profile centered on innovative data analysis techniques. Her academic affiliation supports interdisciplinary collaboration and encourages the application of analytical methods to diverse research challenges.[1]

Research Contributions

Her scholarly contribution emphasizes improving analytical accuracy, research transparency, and interpretation of scientific evidence. These efforts contribute to strengthening methodological quality within emerging research environments.[4]

Publications

Current indexing records indicate one Scopus-indexed publication with initial citation activity. The publication reflects participation in scholarly communication and demonstrates potential for future research development.[5]

Research Impact

Although the publication portfolio is currently modest, citation evidence indicates early scholarly recognition. Continued research productivity may further enhance academic visibility and interdisciplinary impact.[2]

Award Suitability

The research profile aligns with the objectives of the Research Data Analysis Awards by demonstrating dedication to analytical research, academic quality, and innovation. These characteristics support recognition through the Innovative Research Award.

Conclusion

Alfatma Salama represents an emerging researcher in data analysis innovation whose academic activities emphasize methodological advancement and research excellence. Continued scholarly engagement is expected to strengthen future scientific contributions and international academic recognition.

References

    1. Elsevier. (n.d.). Scopus Author Details: Alfatma Salama, Author ID 57226770697. Scopus.
      https://www.scopus.com/pages/authors/57226770697
    2. ORCID. (n.d.). Researcher Profile: Alfatma Salama.
      https://orcid.org/0000-0002-9591-0853
    3. Elnagar, A. K., Khalifa, G. S. A., Alogaily, R. S., & Salama, A. F. (2026). Data-enabled sales communication and sustainable performance: The roles of analytics capability, customer-centric culture, and employee digital competence. Sustainability, 18(14), Article 6989.
      https://www.mdpi.com/2071-1050/18/14/6989
    4. Salama, A. F. (2025). Evaluating the governmental inspection process in five-star hotels in Egypt: A comparative study. Minia Journal of Tourism and Hospitality Research, 1(2).
    5. Salama, A. F. (2025). Evaluating the inspection standards of local authorities and their impact on the performance of hospitality establishments. Minia Journal of Tourism and Hospitality Research, 1(2).
      https://journals.ekb.eg/article_478545.html

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.

Prof. Dr. Xiaoxiao Cheng | Innovation In Data Analysis | Research Excellence Award

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Prof. Dr. Xiaoxiao Cheng | Innovation In Data Analysis | Research Excellence Award

Soochow University | China

Dr. Xiaoxiao Cheng is a Professor at Soochow University specializing in polymer synthesis, living polymerization, and chiral assembly. He earned his Ph.D. in Materials Science from Soochow University, with international research experience at Hokkaido University and Nagoya University in Japan. Following postdoctoral research, he served as Assistant Professor and Principal Investigator at the Nano Life Science Institute, Kanazawa University. Dr. Cheng has published nearly 60 high-impact papers, many in leading journals, and holds multiple patents in advanced polymer materials. A recipient of several prestigious awards and research grants, he is actively involved in editorial roles and international scientific collaborations.

Citation Metrics (Scopus)

3000
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Citations
1,351

Documents
58

h-index
22

Citations

Documents

h-index


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