Mario De Luca
- Safety, Risk, Reliability and Quality top 2%
- Civil and Structural Engineering top 10%
- Building and Construction top 5%
- Control and Systems Engineering
- Transportation top 10%
- Co-authors
- Gianluca Dell’AcquaRaffaele MauroFrancesca RussoOlja ČokoriloCarlo Giacomo PratoR. BorghiA. ValletOlegas Prentkovskis
- Topics
- Infrastructure Maintenance and Monitoring (15 papers)Traffic Prediction and Management Techniques (12 papers)Traffic and Road Safety (11 papers)
- Journals
- Applied EnergyTransportation Research Record Journal of the Transportation Research BoardJournal of Air Transport Management
- Partner nations
- ItalyLithuaniaUnited States
In The Last Decade
Mario De Luca
30 papers receiving 351 citations
Peers
Comparison fields: 5 of 66
- Safety, Risk, Reliability and Quality 150
- Civil and Structural Engineering 140
- Building and Construction 130
- Control and Systems Engineering 62
- Transportation 52
Countries citing papers authored by Mario De Luca
This map shows the geographic impact of Mario De Luca'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 Mario De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario De Luca more than expected).
Fields of papers citing papers by Mario De Luca
This network shows the impact of papers produced by Mario De Luca. 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 Mario De Luca. The network helps show where Mario De Luca may publish in the future.
Co-authorship network of co-authors of Mario De Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Mario De Luca. A scholar is included among the top collaborators of Mario De Luca 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 Mario De Luca. Mario De Luca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | Modeling Operating Speed Using Artificial Computational Intelligence (ACI) on Low-Volume Roads | 1 |
| 8 | 43 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 27 | |
| 12 | 11 | |
| 13 | Analysis of Rain-Related Crash Risk on Freeway Pavements in Porous and Dense Asphalt | 3 |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 26 | |
| 18 | 10 | |
| 19 | 21 | |
| 20 | 0 |
About Mario De Luca
Mario De Luca is a scholar working on Safety, Risk, Reliability and Quality, Building and Construction and Statistics, Probability and Uncertainty, having authored 32 papers that have together received 370 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (15 papers), Traffic Prediction and Management Techniques (12 papers) and Traffic and Road Safety (11 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (150 citations), Building and Construction (130 citations) and Transportation (52 citations). Mario De Luca has collaborated with scholars based in Italy, Lithuania and United States. Frequent co-authors include Gianluca Dell’Acqua, Raffaele Mauro, Francesca Russo, Olja Čokorilo, Carlo Giacomo Prato, R. Borghi, A. Vallet, Olegas Prentkovskis, Thomas J. Yager and Salvatore Antonio Biancardo. Their work appears in journals such as Applied Energy, Transportation Research Record Journal of the Transportation Research Board and Journal of Air Transport Management.
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.