Khaled Assi

635 total citations
23 papers, 445 citations indexed

About

Khaled Assi is a scholar working on Transportation, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Khaled Assi has authored 23 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Transportation, 13 papers in Building and Construction and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Khaled Assi's work include Transportation Planning and Optimization (13 papers), Traffic and Road Safety (12 papers) and Traffic Prediction and Management Techniques (10 papers). Khaled Assi is often cited by papers focused on Transportation Planning and Optimization (13 papers), Traffic and Road Safety (12 papers) and Traffic Prediction and Management Techniques (10 papers). Khaled Assi collaborates with scholars based in Saudi Arabia, Bahrain and Palestinian Territory. Khaled Assi's co-authors include Nedal T. Ratrout, Syed Masiur Rahman, Uneb Gazder, Kh Md Nahiduzzaman, Arshad Jamal, Imran Reza, Adel S. Aldosary, Wael Alhajyaseen, Md Shafiullah and Hassan M. Al-Ahmadi and has published in prestigious journals such as IEEE Access, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Khaled Assi

23 papers receiving 435 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 Assi Saudi Arabia 14 195 191 173 102 83 23 445
Zhiyuan Sun China 12 162 0.8× 120 0.6× 157 0.9× 91 0.9× 62 0.7× 45 497
Xudong Jia United States 12 241 1.2× 138 0.7× 204 1.2× 83 0.8× 109 1.3× 69 549
Valerian Kwigizile United States 13 263 1.3× 184 1.0× 359 2.1× 104 1.0× 91 1.1× 81 622
Nopadon Kronprasert Thailand 13 147 0.8× 90 0.5× 161 0.9× 112 1.1× 78 0.9× 41 416
Chenhui Liu United States 15 217 1.1× 105 0.5× 315 1.8× 88 0.9× 143 1.7× 35 576
Navid Nadimi Iran 12 132 0.7× 147 0.8× 303 1.8× 137 1.3× 142 1.7× 39 454
Emmanuel Kidando United States 13 216 1.1× 200 1.0× 306 1.8× 88 0.9× 138 1.7× 55 534
Amir Mohammadian Amiri Iran 12 110 0.6× 132 0.7× 188 1.1× 52 0.5× 69 0.8× 27 360
Rhonda Young United States 11 108 0.6× 121 0.6× 253 1.5× 122 1.2× 119 1.4× 57 448
Joewono Prasetijo Malaysia 13 182 0.9× 111 0.6× 246 1.4× 96 0.9× 55 0.7× 104 510

Countries citing papers authored by Khaled Assi

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Assi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khaled Assi

This figure shows the co-authorship network connecting the top 25 collaborators of Khaled Assi. A scholar is included among the top collaborators of Khaled Assi 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 Assi. Khaled Assi 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.
Assi, Khaled, et al.. (2022). Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem. Journal of Transportation Engineering Part A Systems. 149(1). 3 indexed citations
2.
Assi, Khaled, et al.. (2022). Transparent deep machine learning framework for predicting traffic crash severity. Neural Computing and Applications. 35(2). 1535–1547. 46 indexed citations
3.
Assi, Khaled, et al.. (2022). Mode Choice Behavior Modeling: A Synergy by Hybrid Neural Network and Fuzzy Logic System. Arabian Journal for Science and Engineering. 47(4). 5255–5269. 1 indexed citations
4.
5.
Gazder, Uneb & Khaled Assi. (2021). Determining driver perceptions about distractions and modeling their effects on driving behavior at different age groups. Journal of Traffic and Transportation Engineering (English Edition). 9(1). 33–43. 23 indexed citations
6.
Nahiduzzaman, Kh Md, Tiziana Campisi, Amin Mohammadpour Shotorbani, et al.. (2021). Influence of Socio-Cultural Attributes on Stigmatizing Public Transport in Saudi Arabia. Sustainability. 13(21). 12075–12075. 7 indexed citations
7.
Rahman, Syed Masiur, et al.. (2021). Transformation of urban mobility during COVID-19 pandemic – Lessons for transportation planning. Journal of Transport & Health. 23. 101257–101257. 24 indexed citations
8.
Gazder, Uneb, et al.. (2021). The Determinants of Consumer Acceptance of Autonomous Vehicles: A Case Study in Riyadh, Saudi Arabia. International Journal of Human-Computer Interaction. 38(14). 1375–1387. 18 indexed citations
9.
Al-Ahmadi, Hassan M., et al.. (2021). Preparedness for Mass Gatherings: A Simulation-Based Framework for Flow Control and Management Using Crowd Monitoring Data. Arabian Journal for Science and Engineering. 46(5). 4985–4997. 9 indexed citations
10.
Ratrout, Nedal T., et al.. (2020). Crash Severity Prediction Using Two-Layer Ensemble Machine Learning Model for Proactive Emergency Management. IEEE Access. 8. 210750–210762. 25 indexed citations
11.
Assi, Khaled, et al.. (2020). A Nested Ensemble Approach with ANNs to Investigate the Effect of Socioeconomic Attributes on Active Commuting of University Students. International Journal of Environmental Research and Public Health. 17(10). 3549–3549. 13 indexed citations
12.
Assi, Khaled, et al.. (2020). Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol. International Journal of Environmental Research and Public Health. 17(15). 5497–5497. 53 indexed citations
13.
Assi, Khaled. (2020). Traffic Crash Severity Prediction—A Synergy by Hybrid Principal Component Analysis and Machine Learning Models. International Journal of Environmental Research and Public Health. 17(20). 7598–7598. 24 indexed citations
14.
Al-Ahmadi, Hassan M., et al.. (2019). Using Microscopic Simulation-Based Analysis to Model Driving Behavior: A Case Study of Khobar-Dammam in Saudi Arabia. Sustainability. 11(11). 3018–3018. 25 indexed citations
15.
Assi, Khaled, et al.. (2019). Travel-To-School Mode Choice Modelling Employing Artificial Intelligence Techniques: A Comparative Study. Sustainability. 11(16). 4484–4484. 30 indexed citations
16.
Assi, Khaled, Nedal T. Ratrout, & Uneb Gazder. (2019). Quick Optimal Lane Assignment Using Artificial Neural Networks. 1–6. 3 indexed citations
17.
Assi, Khaled, Kh Md Nahiduzzaman, Nedal T. Ratrout, & Adel S. Aldosary. (2018). Mode choice behavior of high school goers: Evaluating logistic regression and MLP neural networks. Case Studies on Transport Policy. 6(2). 225–230. 47 indexed citations
18.
Assi, Khaled & Nedal T. Ratrout. (2017). Proposed quick method for applying dynamic lane assignment at signalized intersections. IATSS Research. 42(1). 1–7. 17 indexed citations
19.
Alhajyaseen, Wael, et al.. (2017). The effectiveness of applying dynamic lane assignment at all approaches of signalized intersection. Case Studies on Transport Policy. 5(2). 224–232. 24 indexed citations
20.
Alhajyaseen, Wael, et al.. (2016). The Integration of Dynamic Lane Grouping Technique and Signal Timing Optimization for Improving the Mobility of Isolated Intersections. Arabian Journal for Science and Engineering. 42(3). 1013–1024. 10 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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