Mohammadali Shirazi

560 total citations
31 papers, 384 citations indexed

About

Mohammadali Shirazi is a scholar working on Safety, Risk, Reliability and Quality, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Mohammadali Shirazi has authored 31 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Safety, Risk, Reliability and Quality, 14 papers in Building and Construction and 8 papers in Control and Systems Engineering. Recurrent topics in Mohammadali Shirazi's work include Traffic and Road Safety (25 papers), Traffic Prediction and Management Techniques (14 papers) and Traffic control and management (8 papers). Mohammadali Shirazi is often cited by papers focused on Traffic and Road Safety (25 papers), Traffic Prediction and Management Techniques (14 papers) and Traffic control and management (8 papers). Mohammadali Shirazi collaborates with scholars based in United States, Iran and Australia. Mohammadali Shirazi's co-authors include Dominique Lord, Srinivas Reddy Geedipally, Soma S. Dhavala, Xiao Qin, Subasish Das, Hedayat Z. Aashtiani, Bahar Dadashova, Lingtao Wu, Per Gårder and Michael P. Pratt and has published in prestigious journals such as Accident Analysis & Prevention, Computers & Industrial Engineering and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Mohammadali Shirazi

30 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammadali Shirazi United States	12	338	134	111	85	82	31	384
Steven D. Schrock United States	13	310 0.9×	135 1.0×	104 0.9×	107 1.3×	103 1.3×	89	513
Deo Chimba United States	12	406 1.2×	253 1.9×	159 1.4×	80 0.9×	87 1.1×	48	524
Ahmed Farid United States	13	347 1.0×	119 0.9×	134 1.2×	77 0.9×	140 1.7×	32	462
Majbah Uddin United States	9	257 0.8×	173 1.3×	91 0.8×	24 0.3×	68 0.8×	25	430
Jodi L Carson United States	8	340 1.0×	180 1.3×	141 1.3×	89 1.0×	137 1.7×	36	492
Maria Luisa De Guglielmo Italy	10	383 1.1×	65 0.5×	121 1.1×	74 0.9×	111 1.4×	19	491
Poul Greibe Norway	6	278 0.8×	129 1.0×	99 0.9×	63 0.7×	97 1.2×	12	368
Sudip Barua Canada	7	369 1.1×	217 1.6×	85 0.8×	31 0.4×	55 0.7×	13	408
Michael P. Pratt United States	13	407 1.2×	109 0.8×	159 1.4×	171 2.0×	187 2.3×	73	551
Steven Lavrenz United States	10	166 0.5×	110 0.8×	89 0.8×	73 0.9×	71 0.9×	28	311

Countries citing papers authored by Mohammadali Shirazi

Since Specialization

Citations

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

Fields of papers citing papers by Mohammadali Shirazi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammadali Shirazi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammadali Shirazi. A scholar is included among the top collaborators of Mohammadali Shirazi 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 Mohammadali Shirazi. Mohammadali Shirazi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gårder, Per, et al.. (2025). Examining the impact of centerline rumble strips on reducing rural two-lane head-on collisions in Maine. Accident Analysis & Prevention. 216. 108003–108003.

Shirazi, Mohammadali, et al.. (2024). The negative Binomial-Lindley model with Time-Dependent Parameters: Accounting for temporal variations and excess zero observations in crash data. Accident Analysis & Prevention. 207. 107711–107711. 6 indexed citations

Corry, Paul, et al.. (2024). A comprehensive multi-objective framework for the estimation of crash frequency models. Accident Analysis & Prevention. 210. 107844–107844. 3 indexed citations

Xie, Yuanchang, et al.. (2024). Understanding speeding behavior on interstate horizontal curves and ramps using networkwide probe data. Journal of Safety Research. 90. 371–380. 3 indexed citations

Shirazi, Mohammadali, et al.. (2024). Assessing the Negative Binomial-Lindley model for crash hotspot identification: Insights from Monte Carlo simulation analysis. Accident Analysis & Prevention. 199. 107478–107478. 5 indexed citations

Shirazi, Mohammadali, et al.. (2022). Grouped Random Parameters Negative Binomial-Lindley for accounting unobserved heterogeneity in crash data with preponderant zero observations. Analytic Methods in Accident Research. 37. 100255–100255. 17 indexed citations

Shirazi, Mohammadali, et al.. (2022). Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations. Accident Analysis & Prevention. 175. 106765–106765. 14 indexed citations

Shirazi, Mohammadali, et al.. (2022). Evaluating alternative variations of Negative Binomial–Lindley distribution for modelling crash data. Transportmetrica A Transport Science. 19(3). 17 indexed citations

Tsapakis, Ioannis, et al.. (2022). Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety. Accident Analysis & Prevention. 170. 106638–106638. 22 indexed citations

10.

Shirazi, Mohammadali, et al.. (2022). Driver, roadway, and weather factors on severity of lane departure crashes in Maine. Journal of Safety Research. 84. 306–315. 9 indexed citations

11.

Lord, Dominique, et al.. (2019). Analyzing Highway Safety Datasets: Simplifying Statistical Analyses from Sparse to Big Data. VTechWorks (Virginia Tech). 4 indexed citations

12.

Wu, Lingtao, Bahar Dadashova, Srinivas Reddy Geedipally, Michael P. Pratt, & Mohammadali Shirazi. (2018). Assessing Curve Severity and Crash Rates at Horizontal Curves on Rural Two-Lane Highways Using SHRP 2 Safety Data. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations

13.

Geedipally, Srinivas Reddy, Mohammadali Shirazi, & Dominique Lord. (2017). Exploring the Need for Having Region-Specific Calibration Factors. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations

14.

Shirazi, Mohammadali, Hedayat Z. Aashtiani, & Luca Quadrifoglio. (2017). Estimating the minimal revenue tolls in large-scale roadway networks using the dynamic penalty function method. Computers & Industrial Engineering. 107. 120–127. 11 indexed citations

15.

Shirazi, Mohammadali, Soma S. Dhavala, Dominique Lord, & Srinivas Reddy Geedipally. (2017). A methodology to design heuristics for model selection based on the characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred over the Negative Binomial (NB). Accident Analysis & Prevention. 107. 186–194. 21 indexed citations

16.

Geedipally, Srinivas Reddy, Mohammadali Shirazi, & Dominique Lord. (2017). Exploring the Need for Region-Specific Calibration Factors. Transportation Research Record Journal of the Transportation Research Board. 2636(1). 73–79. 9 indexed citations

17.

Shirazi, Mohammadali, Dominique Lord, & Srinivas Reddy Geedipally. (2016). Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual. Accident Analysis & Prevention. 93. 160–168. 34 indexed citations

18.

Shirazi, Mohammadali, Srinivas Reddy Geedipally, & Dominique Lord. (2016). A Monte-Carlo simulation analysis for evaluating the severity distribution functions (SDFs) calibration methodology and determining the minimum sample-size requirements. Accident Analysis & Prevention. 98. 303–311. 15 indexed citations

19.

Shirazi, Mohammadali, Dominique Lord, Soma S. Dhavala, & Srinivas Reddy Geedipally. (2016). A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data. Accident Analysis & Prevention. 91. 10–18. 49 indexed citations

20.

Shirazi, Mohammadali, et al.. (2005). FLEXIBILITY IN NEGOTIATION SYSTEMS: AN ARGUMENTATION-BASED APPROACH. 3(24). 8–18. 1 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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