Emanuele Sacchi

725 total citations
30 papers, 561 citations indexed

About

Emanuele Sacchi is a scholar working on Safety, Risk, Reliability and Quality, Civil and Structural Engineering and Building and Construction. According to data from OpenAlex, Emanuele Sacchi has authored 30 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Safety, Risk, Reliability and Quality, 22 papers in Civil and Structural Engineering and 9 papers in Building and Construction. Recurrent topics in Emanuele Sacchi's work include Traffic and Road Safety (26 papers), Infrastructure Maintenance and Monitoring (19 papers) and Traffic Prediction and Management Techniques (9 papers). Emanuele Sacchi is often cited by papers focused on Traffic and Road Safety (26 papers), Infrastructure Maintenance and Monitoring (19 papers) and Traffic Prediction and Management Techniques (9 papers). Emanuele Sacchi collaborates with scholars based in Canada, Italy and Australia. Emanuele Sacchi's co-authors include Tarek Sayed, Marco Bassani, Bhagwant Persaud, Karim El‐Basyouny, Yong‐Sheng Chen, Ahmed Osama, Khaled Shaaban, Yongsheng Chen, Lee-Hyung Kim and Ezio Santagata and has published in prestigious journals such as Expert Systems with Applications, Accident Analysis & Prevention and Journal of Materials in Civil Engineering.

In The Last Decade

Emanuele Sacchi

29 papers receiving 537 citations

Peers

Emanuele Sacchi
Jake Kononov United States
Jonathan Wood United States
Bryan K. Allery United States
Ingrid B. Potts United States
Michael P. Pratt United States
Ahmed Farid United States
Jake Kononov United States
Emanuele Sacchi
Citations per year, relative to Emanuele Sacchi Emanuele Sacchi (= 1×) peers Jake Kononov

Countries citing papers authored by Emanuele Sacchi

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Sacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Sacchi

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Sacchi. A scholar is included among the top collaborators of Emanuele Sacchi 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 Emanuele Sacchi. Emanuele Sacchi 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.
Bassani, Marco, et al.. (2025). Exploration of the tram-involved crashes’ characteristics and contributing factors to fatality in tram crashes in Japan. Accident Analysis & Prevention. 213. 107919–107919.
2.
Sacchi, Emanuele, et al.. (2023). A machine learning tool for collecting and analyzing subjective road safety data from Twitter. Expert Systems with Applications. 240. 122582–122582. 9 indexed citations
3.
Sacchi, Emanuele, et al.. (2022). Validation of Machine Learning Algorithms as Predictive Tool in the Road Safety Management Process: Case of Network Screening. Journal of Transportation Engineering Part A Systems. 148(9). 2 indexed citations
4.
Sacchi, Emanuele, et al.. (2021). Evaluating the effectiveness of the Safety Improvement Program in Saskatchewan using an observational before–after study with the full Bayes approach. Canadian Journal of Civil Engineering. 48(12). 1706–1712. 1 indexed citations
5.
Shaaban, Khaled, et al.. (2019). Severity analysis of red-light-running-related crashes using structural equation modeling. Journal of Transportation Safety & Security. 13(3). 278–297. 19 indexed citations
6.
Sacchi, Emanuele & Karim El‐Basyouny. (2018). Multivariate linear intervention models with random parameters to estimate the effectiveness of safety treatments: Case study of intersection device program. Accident Analysis & Prevention. 120. 114–121. 7 indexed citations
7.
Sacchi, Emanuele, et al.. (2017). Traffic Conflict–Based Before–After Study with Use of Comparison Groups and the Empirical Bayes Method. Transportation Research Record Journal of the Transportation Research Board. 2659(1). 15–24. 18 indexed citations
8.
Sacchi, Emanuele & Tarek Sayed. (2016). Conflict-Based Safety Performance Functions to Predict Traffic Collisions by Type. 1 indexed citations
9.
Sacchi, Emanuele, Tarek Sayed, & Karim El‐Basyouny. (2016). A full Bayes before-after study accounting for temporal and spatial effects: Evaluating the safety impact of new signal installations. Accident Analysis & Prevention. 94. 52–58. 17 indexed citations
10.
Sayed, Tarek & Emanuele Sacchi. (2016). Evaluating the safety impact of increased speed limits on rural highways in British Columbia. Accident Analysis & Prevention. 95(Pt A). 172–177. 20 indexed citations
11.
Sayed, Tarek, et al.. (2016). Evaluating Safety Benefits of the Insurance Corporation of British Columbia Road Improvement Program Using a Full Bayes Approach. Transportation Research Record Journal of the Transportation Research Board. 2582(1). 26–33. 2 indexed citations
12.
Sacchi, Emanuele & Tarek Sayed. (2015). Investigating the accuracy of Bayesian techniques for before–after safety studies: The case of a “no treatment” evaluation. Accident Analysis & Prevention. 78. 138–145. 27 indexed citations
13.
Sacchi, Emanuele, Tarek Sayed, & Ahmed Osama. (2015). Developing crash modification functions for pedestrian signal improvement. Accident Analysis & Prevention. 83. 47–56. 8 indexed citations
14.
Sacchi, Emanuele, Tarek Sayed, & Karim El‐Basyouny. (2015). Multivariate Full Bayesian Hot Spot Identification and Ranking. Transportation Research Record Journal of the Transportation Research Board. 2515(1). 1–9. 17 indexed citations
15.
Sacchi, Emanuele & Tarek Sayed. (2014). Accounting for heterogeneity among treatment sites and time trends in developing crash modification functions. Accident Analysis & Prevention. 72. 116–126. 22 indexed citations
16.
Sacchi, Emanuele, Tarek Sayed, & Karim El‐Basyouny. (2014). Collision modification functions: Incorporating changes over time. Accident Analysis & Prevention. 70. 46–54. 31 indexed citations
17.
Sacchi, Emanuele, et al.. (2013). A comparison of collision-based and conflict-based safety evaluations: The case of right-turn smart channels. Accident Analysis & Prevention. 59. 260–266. 78 indexed citations
18.
Chen, Yong‐Sheng, Bhagwant Persaud, Emanuele Sacchi, & Marco Bassani. (2012). Investigation of models for relating roundabout safety to predicted speed. Accident Analysis & Prevention. 50. 196–203. 44 indexed citations
19.
Chen, Yongsheng, Bhagwant Persaud, & Emanuele Sacchi. (2012). Improving Transferability of Safety Performance Functions by Bayesian Model Averaging. Transportation Research Record Journal of the Transportation Research Board. 2280(1). 162–172. 16 indexed citations
20.
Sacchi, Emanuele, Bhagwant Persaud, & Marco Bassani. (2012). Assessing International Transferability of Highway Safety Manual Crash Prediction Algorithm and Its Components. Transportation Research Record Journal of the Transportation Research Board. 2279(1). 90–98. 51 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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