Massimo Di Francesco
-
- Maritime Ports and Logistics 20
- Vehicle Routing Optimization Methods 19
- Optimization and Packing Problems 6
- Transportation top 2%
- Transportation Planning and Optimization 20
- Human Mobility and Location-Based Analysis 7
- Building and Construction top 2%
- Traffic Prediction and Management Techniques 9
- Urban and Freight Transport Logistics 7
- Radiation top 5%
- Automotive Engineering top 10%
- Transportation and Mobility Innovations 7
Massimo Di Francesco
49 papers receiving 834 citations
Peers
Comparison fields: 5 of 73
- Industrial and Manufacturing Engineering 431
- Transportation 288
- Building and Construction 316
- Radiation 127
- Automotive Engineering 98
Countries citing papers authored by Massimo Di Francesco
This map shows the geographic impact of Massimo Di Francesco'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 Francesco 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 Francesco more than expected).
Fields of papers citing papers by Massimo Di Francesco
This network shows the impact of papers produced by Massimo Di Francesco. 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 Francesco. The network helps show where Massimo Di Francesco may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Di Francesco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 82 | |
| 9 | 2020 | 35 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 25 | |
| 12 | 2016 | 33 | |
| 13 | Container transportation problem under uncertain demand and weather conditions | 2013 | 1 |
| 14 | 2013 | 72 | |
| 15 | 2012 | 3 | |
| 16 | Human Resource Allocation for Maritime Container Terminals: Effects of Planning Horizon Length | 2012 | 1 |
| 17 | 2009 | 82 | |
| 18 | New optimization models for empty container management | 2007 | 10 |
| 19 | Optimal Management of Heterogeneous Fleets of Empty Containers | 2006 | 9 |
| 20 | Intermodal freight transportation.The problem of empty containers in transportation service production | 2003 | 1 |
About Massimo Di Francesco
Massimo Di Francesco is a scholar working on Transportation, Industrial and Manufacturing Engineering and Building and Construction, having authored 51 papers that have together received 890 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (20 papers), Maritime Ports and Logistics (20 papers), Vehicle Routing Optimization Methods (19 papers), Traffic Prediction and Management Techniques (9 papers), Transportation and Mobility Innovations (7 papers), Urban and Freight Transport Logistics (7 papers), Human Mobility and Location-Based Analysis (7 papers) and Optimization and Packing Problems (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (431 citations), Transportation (288 citations) and Building and Construction (316 citations). Massimo Di Francesco has collaborated with scholars based in Italy, Canada and India. Frequent co-authors include Paola Zuddas, Benedetto Barabino, M. Laí, Teodor Gabriel Crainic, Antonio Manca, Salvatore Barone, Luigi Grasso, G. Felici, M. Pacitti and S. Linsalata. Their work appears in journals such as European Journal of Operational Research, Energy and Buildings and Journal of the Operational Research Society.
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.