Arshad Jamal

3.9k total citations
107 papers, 2.7k citations indexed

About

Arshad Jamal is a scholar working on Safety, Risk, Reliability and Quality, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Arshad Jamal has authored 107 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Safety, Risk, Reliability and Quality, 30 papers in Building and Construction and 28 papers in Civil and Structural Engineering. Recurrent topics in Arshad Jamal's work include Traffic and Road Safety (35 papers), Traffic Prediction and Management Techniques (21 papers) and Urban Transport and Accessibility (17 papers). Arshad Jamal is often cited by papers focused on Traffic and Road Safety (35 papers), Traffic Prediction and Management Techniques (21 papers) and Urban Transport and Accessibility (17 papers). Arshad Jamal collaborates with scholars based in Saudi Arabia, China and Pakistan. Arshad Jamal's co-authors include Muhammad Zahid, Irfan Ullah, Hassan M. Al-Ahmadi, Toshiyuki Yamamoto, Kai Liu, Muhammad Tauhidur Rahman, Meshal Almoshaogeh, Ihsanullah Ihsanullah, Mudassir Iqbal and Muhammad Ijaz and has published in prestigious journals such as Scientific Reports, Chemosphere and IEEE Access.

In The Last Decade

Arshad Jamal

98 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arshad Jamal Saudi Arabia 32 745 704 621 525 491 107 2.7k
Shu‐Chien Hsu Hong Kong 36 971 1.3× 149 0.2× 243 0.4× 255 0.5× 587 1.2× 122 3.5k
Syed Masiur Rahman Saudi Arabia 26 331 0.4× 181 0.3× 244 0.4× 266 0.5× 134 0.3× 121 2.3k
Chunfu Shao China 23 405 0.5× 343 0.5× 592 1.0× 723 1.4× 84 0.2× 134 1.9k
Xuedong Yan China 39 1.2k 1.7× 3.2k 4.5× 1.4k 2.2× 1.8k 3.5× 490 1.0× 277 5.8k
Ziqi Song United States 28 335 0.4× 458 0.7× 1.2k 2.0× 954 1.8× 100 0.2× 104 2.7k
Dongjoo Park South Korea 24 1.1k 1.5× 406 0.6× 317 0.5× 1.2k 2.3× 180 0.4× 117 2.3k
Chuan Ding China 34 1.5k 2.1× 553 0.8× 889 1.4× 3.2k 6.1× 131 0.3× 100 4.4k
Heng Wei China 29 741 1.0× 534 0.8× 625 1.0× 1.1k 2.1× 91 0.2× 237 3.0k
Avinash Unnikrishnan United States 25 570 0.8× 337 0.5× 373 0.6× 710 1.4× 213 0.4× 87 1.9k
Tiziana Campisi Italy 27 473 0.6× 335 0.5× 618 1.0× 1.2k 2.3× 124 0.3× 140 2.3k

Countries citing papers authored by Arshad Jamal

Since Specialization
Citations

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

Fields of papers citing papers by Arshad Jamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arshad Jamal

This figure shows the co-authorship network connecting the top 25 collaborators of Arshad Jamal. A scholar is included among the top collaborators of Arshad Jamal 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 Arshad Jamal. Arshad Jamal 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.
Rehman, Zia ur, Chaozhe Jiang, Emmanuel Kofi Adanu, et al.. (2025). Assessing heterogeneity in factors influencing three-wheeled motorized rickshaws crash outcomes between weekdays and weekends. Scientific Reports. 15(1). 14164–14164. 1 indexed citations
2.
3.
Ullah, Irfan, et al.. (2025). Interpretive structural model for influential factors in electric vehicle charging station location. Energy. 325. 136154–136154. 3 indexed citations
4.
Haider, Husnain, et al.. (2025). Integrated LCA and LCCA for various compositions and traffic classes of hot mix asphalt and cold in-place recycling pavements in Saudi Arabia. Case Studies in Construction Materials. 22. e04897–e04897.
5.
Pervez, Amjad, et al.. (2024). Analyzing injury severity of three-wheeler motorized rickshaws: A correlated random parameters approach with heterogeneity in means. Accident Analysis & Prevention. 204. 107651–107651. 12 indexed citations
6.
Iqbal, Mudassir, Babatunde Abiodun Salami, Mohsin Ali Khan, et al.. (2024). Computational approach towards shear strength prediction of squat RC walls implementing ensemble and hybrid SVR paradigms. Materials Today Communications. 40. 109921–109921. 6 indexed citations
7.
Rahman, Rahisham Abd, et al.. (2024). A comprehensive study of nano/micro fillers on silicone rubber insulators: Electrical, mechanical, and thermal characterization. Results in Engineering. 25. 103654–103654. 3 indexed citations
8.
Almoshaogeh, Meshal, et al.. (2024). Development and application of a risk analysis methodology for road traffic accidents. Alexandria Engineering Journal. 111. 293–305. 1 indexed citations
9.
Wang, Chenzhu, Mohamed Abdel‐Aty, Said M. Easa, et al.. (2024). Evaluating helmet-wearing of single-vehicle overspeeding motorcycle crashes: Insights from temporal instability in parsimonious pooled framework. Traffic Injury Prevention. 25(4). 623–630. 3 indexed citations
10.
Pervez, Amjad, et al.. (2024). Analysis and Prediction of Risky Driving Behaviors Using Fuzzy Analytical Hierarchy Process and Machine Learning Techniques. Sustainability. 16(11). 4642–4642. 2 indexed citations
12.
Ullah, Irfan, Kai Liu, Safa Bhar Layeb, Alessandro Severino, & Arshad Jamal. (2023). Optimal Deployment of Electric Vehicles’ Fast-Charging Stations. Journal of Advanced Transportation. 2023. 1–14. 25 indexed citations
13.
Almoshaogeh, Meshal, et al.. (2022). Severity Prediction of Highway Crashes in Saudi Arabia Using Machine Learning Techniques. Applied Sciences. 13(1). 233–233. 22 indexed citations
14.
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
15.
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
16.
Jamal, Arshad, et al.. (2022). Spatiotemporal projections of precipitation and temperature over Afghanistan based on CMIP6 global climate models. Modeling Earth Systems and Environment. 8(3). 4229–4242. 6 indexed citations
17.
Rahman, Rahisham Abd, et al.. (2022). Field-Dependent Pollution Model under Polluted Environments for Outdoor Polymeric Insulators. Polymers. 14(3). 516–516. 17 indexed citations
18.
Ahmad, Farhan, Arshad Jamal, Mudassir Iqbal, et al.. (2021). Performance Evaluation of Cementitious Composites Incorporating Nano Graphite Platelets as Additive Carbon Material. Materials. 15(1). 290–290. 17 indexed citations
19.
Ali, Sajid, et al.. (2021). Transverse Response of an Axially Moving Beam with Intermediate Viscoelastic Support. Mathematical Problems in Engineering. 2021. 1–14. 5 indexed citations
20.
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

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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