Massimo Di Gangi

499 total citations
48 papers, 332 citations indexed

About

Massimo Di Gangi is a scholar working on Transportation, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Massimo Di Gangi has authored 48 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Transportation, 18 papers in Control and Systems Engineering and 15 papers in Building and Construction. Recurrent topics in Massimo Di Gangi's work include Transportation Planning and Optimization (26 papers), Traffic control and management (18 papers) and Evacuation and Crowd Dynamics (12 papers). Massimo Di Gangi is often cited by papers focused on Transportation Planning and Optimization (26 papers), Traffic control and management (18 papers) and Evacuation and Crowd Dynamics (12 papers). Massimo Di Gangi collaborates with scholars based in Italy and United Kingdom. Massimo Di Gangi's co-authors include Giulio Erberto Cantarella, Antonio Polimeni, Roberta Di Pace, Antonino Vitetta, Stefano De Luca, Ennio Cascetta, Angela Di Febbraro, Francesco Russo, David Watling and Angelo Luongo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Sustainability.

In The Last Decade

Massimo Di Gangi

44 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Di Gangi Italy 12 231 142 123 82 79 48 332
Muqing Du China 13 213 0.9× 105 0.7× 80 0.7× 87 1.1× 28 0.4× 38 358
Jiang Xi China 10 202 0.9× 48 0.3× 114 0.9× 52 0.6× 64 0.8× 51 360
Elvezia Maria Cepolina Italy 10 182 0.8× 72 0.5× 144 1.2× 174 2.1× 108 1.4× 45 407
Yuanqing Wang China 11 187 0.8× 69 0.5× 118 1.0× 153 1.9× 15 0.2× 36 348
Eric C. van Berkum Netherlands 10 280 1.2× 130 0.9× 108 0.9× 115 1.4× 14 0.2× 69 378
Paramet Luathep Thailand 8 234 1.0× 116 0.8× 64 0.5× 78 1.0× 45 0.6× 21 367
Natale Papola Italy 9 288 1.2× 193 1.4× 117 1.0× 96 1.2× 25 0.3× 14 332
Natalia Ruiz Juri United States 10 326 1.4× 90 0.6× 149 1.2× 175 2.1× 18 0.2× 32 419
Qiong Tian China 12 373 1.6× 124 0.9× 117 1.0× 239 2.9× 18 0.2× 37 475

Countries citing papers authored by Massimo Di Gangi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Di Gangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Di Gangi. 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 Massimo Di Gangi. The network helps show where Massimo Di Gangi may publish in the future.

Co-authorship network of co-authors of Massimo Di Gangi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Di Gangi. A scholar is included among the top collaborators of Massimo Di Gangi 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 Massimo Di Gangi. Massimo Di Gangi 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.
Gangi, Massimo Di, et al.. (2025). Resilience Indicators for a Road Transport Network to Access Emergency Health Services. Sustainability. 18(1). 27–27.
2.
Gangi, Massimo Di, et al.. (2025). Automatic identification system data to assess container port performances. Transportation research procedia. 86. 612–619.
3.
Polimeni, Antonio, et al.. (2024). Performance analysis for a maritime port with high-frequency services: an Italian case study. Case Studies on Transport Policy. 17. 101263–101263. 4 indexed citations
4.
Salvatore, Walter, Francesco Morelli, Daniele Peila, et al.. (2024). A new methodology for the multi-risk assessment of existing road tunnels. Procedia Structural Integrity. 62. 1112–1119.
5.
Gangi, Massimo Di, et al.. (2024). Rail Transport across the Strait of Messina: Some Policies to Improve the Service. The Open Transportation Journal. 18(1).
6.
Polimeni, Antonio, et al.. (2024). Potential Demand for E-grocery Delivery Services: The Effect of Delivery Attributes on Consumers Preferences. Transportation research procedia. 79. 329–336. 3 indexed citations
7.
Gangi, Massimo Di, et al.. (2023). An Overview on Decision Support Systems for Risk Management in Emergency Conditions: Present, Past and Future Trends. International Journal of Transport Development and Integration. 7(1). 77–92. 2 indexed citations
8.
Gangi, Massimo Di, et al.. (2023). Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency. Sustainability. 15(10). 8168–8168. 13 indexed citations
9.
Gangi, Massimo Di, et al.. (2023). Freight Distribution in Small Islands: Integration between Naval Services and Parcel Lockers. Sustainability. 15(9). 7535–7535. 13 indexed citations
10.
Gangi, Massimo Di & Francesco Russo. (2023). Design of Hybrid Rail Services on Conventional and High-Speed Lines. International Journal of Transport Development and Integration. 7(2). 113–121. 3 indexed citations
11.
Gangi, Massimo Di, et al.. (2023). An Overview on Decision Support Systems for Risk Management in Emergency Conditions: Present, Past and Future Trends. International Journal of Transport Development and Integration. 7(1). 45–53. 4 indexed citations
12.
Gangi, Massimo Di, et al.. (2022). E-bike use in urban commuting: empirical evidence from the home-work plan. Archives of Transport. 62(2). 91–104. 7 indexed citations
13.
Cantarella, Giulio Erberto, et al.. (2019). Solving stochastic assignment to transportation networks with TVs and AVs. Transportation research procedia. 42. 7–18. 11 indexed citations
14.
Gangi, Massimo Di & Antonio Polimeni. (2017). A Model to Simulate Multimodality in a Mesoscopic Dynamic Network Loading Framework. Journal of Advanced Transportation. 2017. 1–16. 6 indexed citations
15.
Cantarella, Giulio Erberto, et al.. (2014). Macroscopic vs. mesoscopic traffic flow models in signal setting design. 2221–2226. 4 indexed citations
16.
Gangi, Massimo Di, et al.. (2009). Multimodal Mesoscopic Approach in Modeling Pedestrian Evacuation. Transportation Research Record Journal of the Transportation Research Board. 2090(1). 51–58. 11 indexed citations
17.
Gangi, Massimo Di, et al.. (2007). Safety of users in road evacuation: pedestrian outflow models in a building. WIT transactions on the built environment. I. 813–823. 10 indexed citations
18.
Gangi, Massimo Di, Antonino Vitetta, Corrado Rindone, & Giuseppe Musolino. (2006). An Italian project for exposure reduction in an urban area: experimentation design and DSS development. 2 indexed citations
19.
Gangi, Massimo Di, et al.. (2002). A METHODOLOGY FOR OPERATIVE COST AND REVENUE EVALUATION IN TRANSIT SYSTEMS: APPLICATION TO AN ITALIAN EXTRA-URBAN AREA. 2 indexed citations
20.
Cascetta, Ennio, Giulio Erberto Cantarella, & Massimo Di Gangi. (1991). EVALUATION OF CONTROL STRATEGIES THROUGH A DOUBLY DYNAMIC ASSIGNMENT MODEL. Transportation Research Record Journal of the Transportation Research Board. 14 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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