Stefano De Luca

182 total papers · 1.5k total citations
72 papers, 1.1k citations indexed

About

Stefano De Luca is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Stefano De Luca has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Transportation, 22 papers in Automotive Engineering and 18 papers in Building and Construction. Recurrent topics in Stefano De Luca's work include Transportation Planning and Optimization (38 papers), Traffic control and management (16 papers) and Transportation and Mobility Innovations (13 papers). Stefano De Luca is often cited by papers focused on Transportation Planning and Optimization (38 papers), Traffic control and management (16 papers) and Transportation and Mobility Innovations (13 papers). Stefano De Luca collaborates with scholars based in Italy, China and United States. Stefano De Luca's co-authors include Roberta Di Pace, Giulio Erberto Cantarella, Armando Cartenì, Ennio Cascetta, Federico Bella, Daniele Versaci, Silvia Bodoardo, Carlotta Francia, Lucia Fagiolari and Julia Amici and has published in prestigious journals such as European Journal of Operational Research, Sustainability and Transportation Research Part C Emerging Technologies.

In The Last Decade

Stefano De Luca

66 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stefano De Luca 593 382 243 197 171 72 1.1k
Jeppe Rich 700 1.2× 654 1.7× 260 1.1× 297 1.5× 125 0.7× 68 1.3k
Cinzia Cirillo 916 1.5× 407 1.1× 206 0.8× 181 0.9× 154 0.9× 97 1.5k
Meng Meng 587 1.0× 364 1.0× 289 1.2× 279 1.4× 89 0.5× 119 1.3k
Benedetto Barabino 805 1.4× 409 1.1× 470 1.9× 121 0.6× 108 0.6× 85 1.5k
Sangho Choo 766 1.3× 388 1.0× 229 0.9× 71 0.4× 191 1.1× 97 1.4k
Jie Huang 840 1.4× 235 0.6× 243 1.0× 239 1.2× 38 0.2× 83 1.4k
Hanna Maoh 628 1.1× 209 0.5× 351 1.4× 95 0.5× 39 0.2× 64 1.0k
Michele Ottomanelli 862 1.5× 611 1.6× 506 2.1× 136 0.7× 75 0.4× 73 1.5k
Federico Cavallaro 764 1.3× 608 1.6× 419 1.7× 146 0.7× 63 0.4× 56 1.4k
Venu Garikapati 756 1.3× 663 1.7× 174 0.7× 143 0.7× 193 1.1× 56 1.2k

Countries citing papers authored by Stefano De Luca

Since Specialization
Citations

This map shows the geographic impact of Stefano 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 Stefano 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 Stefano De Luca more than expected).

Fields of papers citing papers by Stefano De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano 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 Stefano De Luca. The network helps show where Stefano De Luca may publish in the future.

Co-authorship network of co-authors of Stefano De Luca

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

All Works

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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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