Khaled Hamad

1.2k total citations
85 papers, 855 citations indexed

About

Khaled Hamad is a scholar working on Building and Construction, Transportation and Civil and Structural Engineering. According to data from OpenAlex, Khaled Hamad has authored 85 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Building and Construction, 32 papers in Transportation and 27 papers in Civil and Structural Engineering. Recurrent topics in Khaled Hamad's work include Traffic Prediction and Management Techniques (28 papers), Transportation Planning and Optimization (28 papers) and Infrastructure Maintenance and Monitoring (19 papers). Khaled Hamad is often cited by papers focused on Traffic Prediction and Management Techniques (28 papers), Transportation Planning and Optimization (28 papers) and Infrastructure Maintenance and Monitoring (19 papers). Khaled Hamad collaborates with scholars based in United Arab Emirates, United States and Egypt. Khaled Hamad's co-authors include Mohamad Ali Khalil, Abdallah Shanableh, Waleed Zeiada, Ardeshir Faghri, Rami Al‐Ruzouq, Saleh Abu Dabous, Shinya Kikuchi, Maher Omar, Ghazi G. Al-Khateeb and Cesar Quiroga and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Sustainability.

In The Last Decade

Khaled Hamad

74 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khaled Hamad United Arab Emirates 17 304 254 238 157 137 85 855
Giuseppe Cantisani Italy 16 228 0.8× 405 1.6× 111 0.5× 256 1.6× 93 0.7× 56 903
Paola Di Mascio Italy 20 277 0.9× 612 2.4× 200 0.8× 153 1.0× 49 0.4× 77 1.3k
Fengxiang Qiao United States 18 243 0.8× 72 0.3× 288 1.2× 421 2.7× 267 1.9× 126 1.0k
Amir Bahador Parsa United States 7 302 1.0× 99 0.4× 137 0.6× 140 0.9× 105 0.8× 11 932
Tariq Usman Saeed United States 18 251 0.8× 328 1.3× 449 1.9× 203 1.3× 83 0.6× 33 1.3k
Massimiliano Gastaldi Italy 22 390 1.3× 154 0.6× 386 1.6× 363 2.3× 266 1.9× 87 1.3k
Homa Taghipour United States 5 283 0.9× 99 0.4× 108 0.5× 116 0.7× 89 0.6× 7 875
Ali Movahedi United States 4 210 0.7× 86 0.3× 79 0.3× 85 0.5× 58 0.4× 6 767
Min-Wook Kang United States 12 167 0.5× 212 0.8× 153 0.6× 99 0.6× 115 0.8× 51 644

Countries citing papers authored by Khaled Hamad

Since Specialization
Citations

This map shows the geographic impact of Khaled Hamad'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 Khaled Hamad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Hamad more than expected).

Fields of papers citing papers by Khaled Hamad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khaled Hamad. 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 Khaled Hamad. The network helps show where Khaled Hamad may publish in the future.

Co-authorship network of co-authors of Khaled Hamad

This figure shows the co-authorship network connecting the top 25 collaborators of Khaled Hamad. A scholar is included among the top collaborators of Khaled Hamad 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 Khaled Hamad. Khaled Hamad 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
1.
Hamad, Khaled, Emran Alotaibi, Ghazi G. Al-Khateeb, et al.. (2025). Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations. SHILAP Revista de lepidopterología. 4(2). 100209–100209. 2 indexed citations
2.
3.
Hamad, Khaled, et al.. (2025). Automating the Estimation of Turning Movement Rates at Multilane Roundabouts Using Unmanned Aerial Vehicles and Deep Learning. Green Energy and Intelligent Transportation. 100340–100340. 2 indexed citations
4.
Dabous, Saleh Abu, et al.. (2025). Artificial intelligence applications in pavement infrastructure damage detection with automated three-dimensional imaging – A systematic review. Alexandria Engineering Journal. 117. 510–533. 3 indexed citations
5.
Alnaqbi, Ali, Ghazi G. Al-Khateeb, Waleed Zeiada, & Khaled Hamad. (2025). High-Accuracy prediction of roughness in CRCP using a hybrid genetic Algorithm–SVR approach. 16(4). 1839–1863. 3 indexed citations
6.
Junaid, M. Talha, et al.. (2025). Data‐driven assessment and design of axially loaded FRP ‐reinforced concrete columns. Structural Concrete. 26(5). 6722–6764.
7.
Al‐Ruzouq, Rami, Waleed Zeiada, Abdallah Shanableh, et al.. (2025). Satellite observations and spatial regression to assess geographical parameters on land surface temperature. Urban Climate. 61. 102465–102465. 1 indexed citations
8.
Oulefki, Adel, Abbes Amira, Fatih Kurugöllü, et al.. (2025). Integrating advanced technologies for sustainable Smart Campus development: A comprehensive survey of recent studies. Advanced Engineering Informatics. 66. 103412–103412. 1 indexed citations
9.
Hamad, Khaled, et al.. (2024). Effect of feature optimization on performance of machine learning models for predicting traffic incident duration. Engineering Applications of Artificial Intelligence. 131. 107845–107845. 6 indexed citations
10.
Arab, Mohamed G., et al.. (2024). Prediction of Soil-Water Characteristic Curve for Low-Plasticity Soils Using Multi-Output Neural Network. Transportation Infrastructure Geotechnology. 2 indexed citations
11.
12.
Hamad, Khaled, et al.. (2024). Incident duration reliability assessment using Monte-Carlo simulation and kernel density estimation of machine learning-based models. International Journal of Transportation Science and Technology. 20. 157–177.
13.
Zeiada, Waleed, et al.. (2024). A Comparative Study of Pavement Roughness Prediction Models under Different Climatic Conditions. Infrastructures. 9(10). 167–167. 10 indexed citations
14.
Abdallah, Mohamed, et al.. (2023). Environmental impacts of the transition to automated vehicles: A life cycle perspective. Sustainable materials and technologies. 38. e00725–e00725. 7 indexed citations
15.
Alnaqbi, Ali, Waleed Zeiada, Ghazi G. Al-Khateeb, Khaled Hamad, & Samer Barakat. (2023). Creating Rutting Prediction Models through Machine Learning Techniques Utilizing the Long-Term Pavement Performance Database. Sustainability. 15(18). 13653–13653. 32 indexed citations
16.
17.
Hamad, Khaled, et al.. (2019). Predicting Freeway Incident Duration Using Machine Learning. International Journal of Intelligent Transportation Systems Research. 18(2). 367–380. 23 indexed citations
18.
Hamad, Khaled & Cesar Quiroga. (2014). Assessment of Quality and Completeness of Archived ITS Sensor Data: TransGuide Case Study. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 2 indexed citations
19.
Hamad, Khaled & Cesar Quiroga. (2007). Spatial Analysis of Freeway Incidents and Incident Detection. Transportation Research Board 86th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Faghri, Ardeshir, et al.. (2003). Application of GIS and GPS for Collecting and Analyzing Travel Time, Speed and Delay. Scientia Iranica. 10(2). 153–163.

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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