Salvatore Luongo

472 total citations
10 papers, 366 citations indexed

About

Salvatore Luongo is a scholar working on Aerospace Engineering, Automotive Engineering and Computer Networks and Communications. According to data from OpenAlex, Salvatore Luongo has authored 10 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 4 papers in Automotive Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Salvatore Luongo's work include Air Traffic Management and Optimization (8 papers), Aerospace and Aviation Technology (6 papers) and Guidance and Control Systems (5 papers). Salvatore Luongo is often cited by papers focused on Air Traffic Management and Optimization (8 papers), Aerospace and Aviation Technology (6 papers) and Guidance and Control Systems (5 papers). Salvatore Luongo collaborates with scholars based in Italy. Salvatore Luongo's co-authors include Federico Corraro, Umberto Ciniglio, Ciro Carbone, Antonio Moccia, Giancarmine Fasano, Domenico Accardo, Vittorio Di Vito, Domenico Pascarella and Antonio Pescapè and has published in prestigious journals such as Expert Systems, Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering and Journal of Aerospace Computing Information and Communication.

In The Last Decade

Salvatore Luongo

10 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salvatore Luongo Italy 9 311 147 68 66 64 10 366
Umberto Ciniglio Italy 10 422 1.4× 253 1.7× 82 1.2× 61 0.9× 38 0.6× 29 497
Chiara Fulgenzi France 6 158 0.5× 285 1.9× 85 1.3× 49 0.7× 78 1.2× 9 363
Shaojun Cai China 5 94 0.3× 192 1.3× 125 1.8× 18 0.3× 91 1.4× 6 312
Lanny Lin United States 6 195 0.6× 189 1.3× 15 0.2× 107 1.6× 52 0.8× 7 298
F. Large France 7 156 0.5× 290 2.0× 101 1.5× 62 0.9× 42 0.7× 11 346
Johannes Pellenz Germany 9 143 0.5× 142 1.0× 13 0.2× 26 0.4× 30 0.5× 21 238
Matthew E. Argyle United States 8 212 0.7× 162 1.1× 26 0.4× 116 1.8× 30 0.5× 12 299
Tobias Nägeli Switzerland 9 233 0.7× 298 2.0× 15 0.2× 141 2.1× 42 0.7× 9 457
Tingting Xu China 9 72 0.2× 184 1.3× 26 0.4× 15 0.2× 61 1.0× 35 278
P. Buschka Sweden 6 248 0.8× 269 1.8× 11 0.2× 48 0.7× 106 1.7× 7 393

Countries citing papers authored by Salvatore Luongo

Since Specialization
Citations

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

Fields of papers citing papers by Salvatore Luongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvatore Luongo

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

All Works

10 of 10 papers shown
1.
Pascarella, Domenico, et al.. (2018). Game‐theoretic approach for the optimal configuration computing of an interoperable fleet of unmanned vehicles. Expert Systems. 35(5). 9 indexed citations
2.
Luongo, Salvatore, et al.. (2017). A SVM-based detection approach for GPS spoofing attacks to UAV. 1–11. 74 indexed citations
3.
Fasano, Giancarmine, Domenico Accardo, Antonio Moccia, Salvatore Luongo, & Vittorio Di Vito. (2015). In-flight performance analysis of a non-cooperative radar-based sense and avoid system. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 230(9). 1592–1604. 15 indexed citations
4.
Luongo, Salvatore, Vittorio Di Vito, & Federico Corraro. (2012). An advanced 3D algorithm for automatic separation assurance systems. 12. 1572–1578. 8 indexed citations
5.
Luongo, Salvatore, et al.. (2011). Automatic Collision Avoidance System: Design, development and flight tests. 2011 IEEE/AIAA 30th Digital Avionics Systems Conference. 1. 5C1–1. 16 indexed citations
6.
Luongo, Salvatore, Federico Corraro, Umberto Ciniglio, Vittorio Di Vito, & Antonio Moccia. (2010). A novel 3D analytical algorithm for autonomous collision avoidance considering cylindrical safety bubble. 1–13. 18 indexed citations
7.
Luongo, Salvatore, Ciro Carbone, Federico Corraro, & Umberto Ciniglio. (2009). An optimal 3D analytical solution for collision avoidance between aircraft. 1–9. 9 indexed citations
8.
Fasano, Giancarmine, Domenico Accardo, Antonio Moccia, et al.. (2008). Multi-Sensor-Based Fully Autonomous Non-Cooperative Collision Avoidance System for Unmanned Air Vehicles. Journal of Aerospace Computing Information and Communication. 5(10). 338–360. 115 indexed citations
9.
Fasano, Giancarmine, Domenico Accardo, Antonio Moccia, et al.. (2007). Multisensor based Fully Autonomous Non-Cooperative Collision Avoidance System for UAVs. 8 indexed citations
10.
Carbone, Ciro, Umberto Ciniglio, Federico Corraro, & Salvatore Luongo. (2006). A Novel 3D Geometric Algorithm for Aircraft Autonomous Collision Avoidance. 1580–1585. 94 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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