Hamad Al Jassmi

1.6k total citations · 1 hit paper
64 papers, 1.1k citations indexed

About

Hamad Al Jassmi is a scholar working on Civil and Structural Engineering, Building and Construction and Automotive Engineering. According to data from OpenAlex, Hamad Al Jassmi has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Civil and Structural Engineering, 17 papers in Building and Construction and 12 papers in Automotive Engineering. Recurrent topics in Hamad Al Jassmi's work include Infrastructure Maintenance and Monitoring (19 papers), Asphalt Pavement Performance Evaluation (15 papers) and Construction Project Management and Performance (10 papers). Hamad Al Jassmi is often cited by papers focused on Infrastructure Maintenance and Monitoring (19 papers), Asphalt Pavement Performance Evaluation (15 papers) and Construction Project Management and Performance (10 papers). Hamad Al Jassmi collaborates with scholars based in United Arab Emirates, Australia and Saudi Arabia. Hamad Al Jassmi's co-authors include Umair Hasan, Andrew Whyte, Sang Won Han, Luqman Ali, Fady Alnajjar, Wasif Khan, Mohamed Adel Serhani, Abdel‐Hamid I. Mourad, Steven Davis and Mahmoud Al Ahmad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Hamad Al Jassmi

57 papers receiving 1.0k citations

Hit Papers

Performance Evaluation of Deep CNN-Based Crack Detection ... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Performance Evaluation of Deep CNN-Based Crack Detection and Localization Techniques for Concrete Structures
    2021 195 citations Luqman Ali, Fady Alnajjar et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hamad Al Jassmi United Arab Emirates 18 380 280 142 126 125 64 1.1k
Jennifer Schooling United Kingdom 22 368 1.0× 865 3.1× 56 0.4× 76 0.6× 97 0.8× 55 1.9k
Eul‐Bum Lee South Korea 20 425 1.1× 405 1.4× 41 0.3× 91 0.7× 313 2.5× 88 1.1k
Alessandro Vitale Italy 24 320 0.8× 498 1.8× 346 2.4× 45 0.4× 65 0.5× 67 1.4k
Michael Spearpoint New Zealand 24 283 0.7× 278 1.0× 36 0.3× 72 0.6× 55 0.4× 169 2.3k
Denver Tolliver United States 18 365 1.0× 296 1.1× 93 0.7× 86 0.7× 17 0.1× 108 1.1k
Mojtaba Maghrebi Australia 18 222 0.6× 465 1.7× 72 0.5× 34 0.3× 133 1.1× 64 1.2k
Xuesong Shen Australia 17 209 0.6× 323 1.2× 44 0.3× 109 0.9× 121 1.0× 68 937
Hamad Almujibah Saudi Arabia 20 364 1.0× 510 1.8× 49 0.3× 151 1.2× 171 1.4× 121 1.2k
Susan M. Bogus United States 19 171 0.5× 414 1.5× 34 0.2× 55 0.4× 323 2.6× 64 1.1k

Countries citing papers authored by Hamad Al Jassmi

Since Specialization
Citations

This map shows the geographic impact of Hamad Al Jassmi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hamad Al Jassmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamad Al Jassmi more than expected).

Fields of papers citing papers by Hamad Al Jassmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamad Al Jassmi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hamad Al Jassmi. The network helps show where Hamad Al Jassmi may publish in the future.

Co-authorship network of co-authors of Hamad Al Jassmi

This figure shows the co-authorship network connecting the top 25 collaborators of Hamad Al Jassmi. A scholar is included among the top collaborators of Hamad Al Jassmi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hamad Al Jassmi. Hamad Al Jassmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Hasan, Umair, et al.. (2025). Advancing pavement Management: A comprehensive review of smart models for better decisions. Transportation Research Interdisciplinary Perspectives. 34. 101711–101711.
3.
Jassmi, Hamad Al, et al.. (2025). Applications of large language models and generative AI in transportation: A systematic review and bibliometric analysis. Transportation Research Interdisciplinary Perspectives. 34. 101699–101699.
4.
Verbert, Katrien, et al.. (2025). AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects. IEEE Access. 13. 22893–22918. 3 indexed citations
5.
Ali, Luqman, et al.. (2024). Rs-net: Residual Sharp U-Net architecture for pavement crack segmentation and severity assessment. Journal Of Big Data. 11(1). 5 indexed citations
6.
Jassmi, Hamad Al, et al.. (2024). A Bayesian decision support system for optimizing pavement management programs. Heliyon. 10(3). e25625–e25625. 3 indexed citations
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Jassmi, Hamad Al, et al.. (2023). ASENN: attention-based selective embedding neural networks for road distress prediction. Journal Of Big Data. 10(1). 3 indexed citations
10.
Jassmi, Hamad Al, et al.. (2022). Towards self-recovering construction schedules: a new method for periodically updating project plans and optimizing recovery actions. Journal of Asian Architecture and Building Engineering. 22(4). 2335–2347. 1 indexed citations
11.
Hasan, Umair, et al.. (2022). Modelling the effect of non-pharmaceutical interventions on COVID-19 transmission from mobility maps. Infectious Disease Modelling. 7(3). 400–418. 2 indexed citations
12.
Tridane, Abdessamad, et al.. (2022). Evaluating COVID-19 control measures in mass gathering events with vaccine inequalities. Scientific Reports. 12(1). 3652–3652. 2 indexed citations
13.
14.
Ali, Luqman, Farag Sallabi, Wasif Khan, Fady Alnajjar, & Hamad Al Jassmi. (2021). A deep learning-based multi-model ensemble method for crack detection in concrete structures. Proceedings of the ... ISARC. 4 indexed citations
15.
Park, Jungeun, et al.. (2020). Identification of Defect Generation Rules among Defects in Construction Projects Using Association Rule Mining. Sustainability. 12(9). 3875–3875. 8 indexed citations
16.
Ahmed, Waleed, et al.. (2020). Investigating the Mechanical Properties of 3D Printed Components. 1–7. 24 indexed citations
17.
Hasan, Umair, Andrew Whyte, & Hamad Al Jassmi. (2019). A Review of the Transformation of Road Transport Systems: Are We Ready for the Next Step in Artificially Intelligent Sustainable Transport?. Applied System Innovation. 3(1). 1–1. 19 indexed citations
18.
Hasan, Umair, Andrew Whyte, & Hamad Al Jassmi. (2019). A life-cycle decision-making framework to assess the need for autonomous mobility. Transportation research procedia. 42. 32–43. 6 indexed citations
19.
Jassmi, Hamad Al, et al.. (2019). A Pilot Study on Civil Engineering Students Acceptance to a Flipped Classrooms Pedagogy. 39. 1–4. 1 indexed citations
20.
Mourad, Abdel‐Hamid I., et al.. (2019). Mechanical Performance Assessment of Internally-Defected Materials Manufactured Using Additive Manufacturing Technology. Journal of Manufacturing and Materials Processing. 3(3). 74–74. 25 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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