Angel Gento | Construction Management | Best Construction Management Research Award

Best Construction Management Research Award

Angel Gento
University of Valladolid, Spain

Angel Gento
Affiliation University of Valladolid
Country Spain
Scopus ID 15755110300
Documents 41
Citations 261
h-index 10
Subject Area Lean Construction / Digital Twins
Event Architecture Engineers Awards
ORCID 0000-0002-8741-5780

This academic recognition article presents an overview of the professional profile, scholarly contributions, and research impact of Angel Gento of the University of Valladolid. The page evaluates research activities associated with construction management, lean construction methodologies, and digital twin technologies while considering suitability for the Best Construction Management Research Award presented through the Architecture Engineers Awards.[1]

Abstract

Angel Gento has contributed to research associated with construction management, process optimization, digital transformation, and lean methodologies. Academic indicators recorded through international indexing platforms demonstrate sustained scholarly activity, publication output, and citation performance. This article reviews his academic profile and examines the relevance of his contributions within the context of construction engineering recognition programs.[1][2]

Keywords

Lean Construction; Digital Twins; Construction Management; Building Information Modeling; Process Optimization; Engineering Research; Project Management; Digital Transformation; Academic Impact; Construction Engineering.[2]

Introduction

Construction management research increasingly integrates digital technologies, efficiency frameworks, and collaborative engineering practices. Within this evolving field, Angel Gento has participated in studies addressing operational improvement, organizational performance, and technology adoption. Such research contributes to contemporary discussions surrounding lean construction principles and digital innovation in engineering environments.[1][3]

Research Profile

Affiliated with the University of Valladolid in Spain, Angel Gento maintains an internationally indexed research profile. Available bibliometric records indicate 41 indexed documents, 261 citations, and an h-index of 10. His research interests include lean construction approaches, digital twins, process integration, and engineering management systems.[1][2]

Research Contributions

Research contributions attributed to Angel Gento emphasize operational efficiency, knowledge integration, and technological innovation within engineering systems. His work explores methodologies that support process optimization and digital transformation initiatives. These studies contribute to understanding how modern management frameworks can enhance construction project performance and organizational effectiveness.[3][4]

Publications

The publication record includes peer-reviewed journal articles and conference contributions addressing engineering management and industrial process improvement. Indexed outputs demonstrate sustained scholarly engagement over multiple years. Publication visibility through recognized academic databases provides evidence of dissemination and accessibility within the international research community.[1][5]

Research Impact

Citation metrics indicate that Angel Gento’s publications have received recognition from fellow researchers. The recorded citation count reflects engagement with his findings across related academic fields. Such bibliometric indicators suggest measurable influence on discussions involving engineering management, process improvement, and digitally enabled construction methodologies.[1][4]

Award Suitability

Based on available academic indicators, Angel Gento demonstrates qualifications relevant to consideration for the Best Construction Management Research Award. His scholarly activities align with themes including lean construction, digital innovation, and project optimization. Research productivity, citation performance, and international visibility collectively support evaluation within award selection frameworks.[1][2]

Conclusion

Angel Gento’s academic profile reflects sustained participation in engineering and construction-related research. Bibliometric evidence, publication activity, and thematic alignment with lean construction and digital twin technologies indicate meaningful scholarly engagement. These characteristics provide a reasonable basis for recognition consideration within professional and academic construction management award programs.[1][5]

References

  1. Elsevier. (n.d.). Scopus author details: Angel Gento, Author ID 15755110300. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=15755110300

  2. ORCID. (n.d.). Angel Gento researcher profile.

    https://orcid.org/0000-0002-8741-5780

  3. Okimi, T. O., Ramabodu, S. M., Gento, M. A., & Espinosa, P. Y. (2025). A review of resource efficiency in Nigeria’s complex construction systems through a digital twin approach. In Building the Future: Innovation, Sustainability, and Collaboration in Construction (pp. 122–134).

    https://doi.org/10.1007/978-3-031-99204-9_10

  4. Olatunde, N. A., Gento, A. M., Awodele, I. A., Adebayo, B. O., Makanjuola, S. S., & Oyewo, O. W. (2025). Extent of specialized software usage in the delivery of quantity surveying services in South West Nigeria. International Journal of Building Pathology and Adaptation, 44(3), 740–756.

    https://doi.org/10.1108/IJBPA-04-2024-0084

  5. Architecture Engineers Awards. Award evaluation criteria and recognition framework.

    https://architectureengineers.com

Muhammad Usman Shahid | Construction Management | Best Construction Management Research Award

Dr. Muhammad Usman Shahid | Construction Management | Best Construction Management Research Award

Doctor | NFC-Institiute of Engineering and Fertilizer Research (IEFR), Faisalaba | Pakistan

Dr. Muhammad Usman Shahid is an emerging researcher in construction engineering and management, with a strong focus on sustainable construction practices, circular economy integration, and construction waste minimization. His scholarly contributions span high-impact journals, including Scientific Reports and Sustainability, reflecting rigorous application of advanced decision-making tools such as fuzzy DEMATEL and stakeholder-based analyses. With 67 citations, an h-index of 3, and an i10-index of 1, his work demonstrates growing academic influence in addressing critical challenges in the construction sector, particularly in developing economies. His research emphasizes policy development, waste quantification, and Building Information Modeling (BIM) implementation to enhance efficiency and sustainability. In addition to journal publications, he has actively contributed to international conferences, advancing discourse on circular economy and project management practices. His academic role further supports research dissemination and capacity building in construction management and engineering systems.

Citation Metrics (Scopus)

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Post Doctorate Researcher | Tongji University | China

Zain Ijaz is a Postdoctoral Researcher in Civil Engineering at Tongji University, specializing in geotechnical engineering with a strong focus on sustainable and resilient infrastructure. He has extensive professional experience as a laboratory engineer and lecturer, contributing to teaching, supervision, and applied geotechnical testing while supporting academic leadership and research initiatives. His research centers on soil behavior, ground improvement, geospatial modeling, rock mechanics, and machine learning–driven prediction of geotechnical parameters, with substantial contributions through high-impact journal publications, conference papers, and a scholarly book chapter. He actively collaborates with leading international institutions and serves as a peer reviewer for reputed scientific journals. His academic excellence has been recognized through competitive research scholarships, merit-based distinctions, and recognition among top doctoral researchers, and his research impact includes 1,055 citations 29 publications, and an h-index of 17.

                              Citation Metrics (Scopus)

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