Mohammad Jalayer

1.5k total citations
71 papers, 1.1k citations indexed

About

Mohammad Jalayer is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Building and Construction. According to data from OpenAlex, Mohammad Jalayer has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Safety, Risk, Reliability and Quality, 21 papers in Transportation and 18 papers in Building and Construction. Recurrent topics in Mohammad Jalayer's work include Traffic and Road Safety (49 papers), Traffic Prediction and Management Techniques (18 papers) and Urban Transport and Accessibility (17 papers). Mohammad Jalayer is often cited by papers focused on Traffic and Road Safety (49 papers), Traffic Prediction and Management Techniques (18 papers) and Urban Transport and Accessibility (17 papers). Mohammad Jalayer collaborates with scholars based in United States, Portugal and Iran. Mohammad Jalayer's co-authors include Huaguo Zhou, Subasish Das, Mahdi Pour-Rouholamin, Anandi Dutta, Mohsen A. Jafari, Mouyid Islam, Xiaoduan Sun, Lingtao Wu, Ramin Shabanpour and Deep Patel and has published in prestigious journals such as Construction and Building Materials, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

In The Last Decade

Mohammad Jalayer

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Jalayer United States 20 713 316 283 207 198 71 1.1k
Tariq Usman Saeed United States 18 674 0.9× 449 1.4× 251 0.9× 328 1.6× 255 1.3× 33 1.3k
Lingtao Wu United States 18 618 0.9× 242 0.8× 352 1.2× 152 0.7× 121 0.6× 61 1.0k
Aemal J. Khattak United States 21 1.1k 1.6× 546 1.7× 520 1.8× 283 1.4× 335 1.7× 91 1.6k
Απόστολος Ζιακόπουλος Greece 19 709 1.0× 346 1.1× 181 0.6× 85 0.4× 129 0.7× 56 976
Shauna Hallmark United States 20 749 1.1× 476 1.5× 222 0.8× 179 0.9× 137 0.7× 137 1.4k
Xiaoxiang Ma China 19 750 1.1× 430 1.4× 323 1.1× 147 0.7× 193 1.0× 41 1.4k
Ciro Caliendo Italy 19 893 1.3× 204 0.6× 322 1.1× 345 1.7× 122 0.6× 46 1.2k
Huaguo Zhou United States 22 1.1k 1.5× 595 1.9× 428 1.5× 187 0.9× 253 1.3× 137 1.6k
Wen Cheng United States 16 720 1.0× 466 1.5× 314 1.1× 197 1.0× 169 0.9× 72 1.1k
Xiaoduan Sun United States 20 1.0k 1.4× 449 1.4× 379 1.3× 148 0.7× 310 1.6× 111 1.3k

Countries citing papers authored by Mohammad Jalayer

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Jalayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Jalayer

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Jalayer. A scholar is included among the top collaborators of Mohammad Jalayer 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 Mohammad Jalayer. Mohammad Jalayer 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
3.
Patel, Deep, et al.. (2023). Assessing the effectiveness of autism spectrum disorder roadway warning signs: A case study in New Jersey. Transportation Research Part F Traffic Psychology and Behaviour. 100. 57–68. 2 indexed citations
4.
Patel, Deep, et al.. (2023). Did COVID-19 mandates influence driver distraction Behaviors? A case study in New Jersey. Transportation Research Part F Traffic Psychology and Behaviour. 99. 429–449. 4 indexed citations
5.
Zhou, Huaguo, et al.. (2023). Wrong-Way Driving Solutions Handbook. Transportation Research Board eBooks. 4 indexed citations
6.
Jalayer, Mohammad, et al.. (2021). Overview of Intelligent Transportation System Safety Countermeasures for Wrong-Way Driving. Transportation Research Record Journal of the Transportation Research Board. 2676(3). 243–257. 3 indexed citations
7.
Jalayer, Mohammad, et al.. (2019). Application of unmanned aerial vehicles to inspect and inventory interchange assets to mitigate wrong-way entries. ITE journal. 89(7). 37–42. 4 indexed citations
8.
Das, Subasish, et al.. (2018). Macro-Level Analysis of Association between Non-motorized Trips, Socio-Economic Characteristics, and Crime. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
9.
Jalayer, Mohammad, et al.. (2018). Improving roadside design policies for safety enhancement using hazard-based duration modeling. Accident Analysis & Prevention. 120. 165–173. 28 indexed citations
10.
Jalayer, Mohammad, Ramin Shabanpour, Mahdi Pour-Rouholamin, Nima Golshani, & Huaguo Zhou. (2018). Wrong-way driving crashes: A random-parameters ordered probit analysis of injury severity. Accident Analysis & Prevention. 117. 128–135. 75 indexed citations
11.
Pour-Rouholamin, Mahdi, Mohammad Jalayer, & Huaguo Zhou. (2017). Modelling single-vehicle, single-rider motorcycle crash injury severity: an ordinal logistic regression approach. International Journal of Urban Sciences. 21(3). 344–363. 18 indexed citations
12.
Jalayer, Mohammad, Mahdi Pour-Rouholamin, & Huaguo Zhou. (2017). Wrong-way driving crashes: A multiple correspondence approach to identify contributing factors. Traffic Injury Prevention. 19(1). 35–41. 48 indexed citations
13.
Jalayer, Mohammad, Mahdi Pour-Rouholamin, & Huaguo Zhou. (2017). Multiple Correspondence Approach to Identifying Contributing Factors Regarding Wrong-Way Driving Crashes. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
14.
Jalayer, Mohammad, et al.. (2016). Overview of Safety Countermeasures for Roadway Departure Crashes. ITE journal. 86(2). 39–46. 17 indexed citations
15.
Pour-Rouholamin, Mahdi & Mohammad Jalayer. (2016). Analyzing the Severity of Motorcycle Crashes in North Carolina using Highway Safety Information Systems Data. ITE journal. 86(10). 45–49. 5 indexed citations
16.
Jalayer, Mohammad, et al.. (2015). Comprehensive Assessment of Highway Inventory Data Collection Methods for Implementing Highway Safety Manual. Transportation Research Board 94th Annual MeetingTransportation Research Board. 2 indexed citations
17.
Jalayer, Mohammad, et al.. (2015). Identifying and characterizing secondary crashes on the Alabama state highway systems. Advances in transportation studies. 2015(37). 129–140. 19 indexed citations
18.
Jalayer, Mohammad, Shunfu Hu, Huaguo Zhou, & Rod E. Turochy. (2015). Assessment of Highway Inventory Data Collection Method Using Photo-Video Logging. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations
19.
Zhou, Huaguo, et al.. (2014). Prediction of Potential Wrong-Way Entries at Exit Ramps of Signalized Partial Cloverleaf Interchanges. Traffic Injury Prevention. 16(6). 599–604. 23 indexed citations
20.
Zhou, Huaguo, et al.. (2013). Investigation of methods and approaches for collecting and recording highway inventory data.. 17 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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