David Scaradozzi

1.6k total citations
112 papers, 996 citations indexed

About

David Scaradozzi is a scholar working on Ocean Engineering, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, David Scaradozzi has authored 112 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Ocean Engineering, 23 papers in Aerospace Engineering and 19 papers in Control and Systems Engineering. Recurrent topics in David Scaradozzi's work include Underwater Vehicles and Communication Systems (45 papers), Maritime and Coastal Archaeology (11 papers) and Teaching and Learning Programming (11 papers). David Scaradozzi is often cited by papers focused on Underwater Vehicles and Communication Systems (45 papers), Maritime and Coastal Archaeology (11 papers) and Teaching and Learning Programming (11 papers). David Scaradozzi collaborates with scholars based in Italy, France and Ireland. David Scaradozzi's co-authors include Daniele Costa, Giacomo Palmieri, G. Conte, Laura Screpanti, G. Cossu, E. Ciaramella, Anna Maria Perdon, Matteo-Claudio Palpacelli, Gianluca Morganti and Carlo Cerrano and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Access.

In The Last Decade

David Scaradozzi

101 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Scaradozzi Italy 16 444 293 159 137 111 112 996
Pengfei Liu China 18 250 0.6× 500 1.7× 55 0.3× 41 0.3× 80 0.7× 97 1.2k
Junaed Sattar United States 16 429 1.0× 309 1.1× 52 0.3× 182 1.3× 107 1.0× 52 919
Tomás Salgado-Jiménez Mexico 12 472 1.1× 181 0.6× 90 0.6× 77 0.6× 422 3.8× 34 915
Luis G. García-Valdovinos Mexico 12 458 1.0× 179 0.6× 85 0.5× 130 0.9× 471 4.2× 45 962
Daniel R. Parisi Argentina 20 1.3k 3.0× 19 0.1× 37 0.2× 181 1.3× 617 5.6× 43 1.9k
Nobuo Kawaguchi Japan 17 89 0.2× 133 0.5× 327 2.1× 63 0.5× 50 0.5× 143 1.1k
Fang Xu China 15 48 0.1× 129 0.4× 107 0.7× 154 1.1× 99 0.9× 112 920
Jian Ma China 30 2.0k 4.4× 88 0.3× 72 0.5× 38 0.3× 906 8.2× 122 2.7k
Chia-Yu Hsu Taiwan 16 94 0.2× 204 0.7× 165 1.0× 150 1.1× 325 2.9× 45 1.2k
Qianyun Zhang China 20 43 0.1× 468 1.6× 554 3.5× 291 2.1× 39 0.4× 124 1.5k

Countries citing papers authored by David Scaradozzi

Since Specialization
Citations

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

Fields of papers citing papers by David Scaradozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Scaradozzi

This figure shows the co-authorship network connecting the top 25 collaborators of David Scaradozzi. A scholar is included among the top collaborators of David Scaradozzi 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 David Scaradozzi. David Scaradozzi 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.
Fatone, Francesco, Massimiliano Sgroi, Anna Laura Eusebi, et al.. (2025). Forecasting and Early Warning System for Wastewater Treatment Plant Sensors Using Multitask and LSTM Neural Networks: A Simulated and Real-World Case Study. Computers & Chemical Engineering. 198. 109103–109103. 1 indexed citations
2.
Screpanti, Laura, et al.. (2024). Underwater Simulators Analysis for Digital Twinning. IEEE Access. 12. 34306–34324. 11 indexed citations
3.
Zattoni, Elena, et al.. (2024). Synchronization and Subsynchronization Problems for Switching Max-Plus Systems: Structural Solvability Conditions. IEEE Transactions on Automatic Control. 69(8). 5613–5619. 3 indexed citations
4.
Screpanti, Laura, et al.. (2024). Designing Courses in Modeling and Identification of Dynamic Systems for Real-Time Assessment. Università Politecnica delle Marche (Università Politecnica delle Marche). 304–309.
5.
Screpanti, Laura & David Scaradozzi. (2024). Control Systems Engineering and Robotics Education Since Primary School. Università Politecnica delle Marche (Università Politecnica delle Marche). 2654–2659.
6.
Scaradozzi, David, et al.. (2024). The Model Matching Problem for Periodic Max-Plus Systems. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1376–1381.
7.
Loiseau, Jean Jacques, et al.. (2023). Invariance causale contrôlée pour les systèmes max-plus linéaires. SPIRE - Sciences Po Institutional REpository.
8.
Nardo, Francesco Di, Alessandro Lucchetti, Massimo Virgili, et al.. (2023). The Development of a Low-Cost Hydrophone for Passive Acoustic Monitoring of Dolphin’s Vocalizations. Remote Sensing. 15(7). 1946–1946. 9 indexed citations
9.
Mangina, Eleni, et al.. (2023). Robotics in the Context of Primary and Preschool Education: A Scoping Review. IEEE Transactions on Learning Technologies. 17. 342–363. 12 indexed citations
10.
Scaradozzi, David, et al.. (2022). The Model Matching Problem for Max-Plus Linear Systems: A Geometric Approach. IEEE Transactions on Automatic Control. 68(6). 3581–3587. 9 indexed citations
11.
Conte, G., et al.. (2020). A 4G Robotic Platform for Shallow Water Operations. 1 indexed citations
12.
Conte, G., et al.. (2017). Field Test of an Integrated ASV/ROV Platform. Università Politecnica delle Marche (Università Politecnica delle Marche). 2 indexed citations
13.
Conte, G., et al.. (2016). Experimental testing of a cooperative ASV-ROV multi-agent system. IFAC-PapersOnLine. 49(23). 347–354. 9 indexed citations
14.
Conte, G., et al.. (2016). A robotic platform for underwater assisted manipulation. CINECA IRIS Institutial Research Information System (University of Genoa). 1 indexed citations
15.
Conte, G., et al.. (2016). A Wearable Critical Flicker Fusion Frequency Detector for SCUBA Divers. Università Politecnica delle Marche (Università Politecnica delle Marche). 1 indexed citations
16.
Conte, G., et al.. (2016). Development and Testing of Low-Cost ASV. Università Politecnica delle Marche (Università Politecnica delle Marche). 3 indexed citations
17.
Conte, G., et al.. (2015). ROS multi-agent structure for autonomous surface vehicles. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–6. 15 indexed citations
18.
Scaradozzi, David, et al.. (2013). Tools and techniques for underwater archaeological sites documentation. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–6. 17 indexed citations
19.
Conte, G., David Scaradozzi, Silvia Maria Zanoli, et al.. (2008). Underwater Vehicle Technology in the VENUS project. Università Politecnica delle Marche (Università Politecnica delle Marche). 2 indexed citations
20.
Zanoli, Silvia Maria, G. Conte, & David Scaradozzi. (2001). Guide and Control of an unmanned underwater Vehicle by Visual-feedback techniques. Università Politecnica delle Marche (Università Politecnica delle Marche). 1 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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