Laura Screpanti

418 total citations
27 papers, 148 citations indexed

About

Laura Screpanti is a scholar working on Computer Science Applications, Ecology and Ocean Engineering. According to data from OpenAlex, Laura Screpanti has authored 27 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Science Applications, 6 papers in Ecology and 6 papers in Ocean Engineering. Recurrent topics in Laura Screpanti's work include Teaching and Learning Programming (9 papers), Marine animal studies overview (6 papers) and Underwater Acoustics Research (5 papers). Laura Screpanti is often cited by papers focused on Teaching and Learning Programming (9 papers), Marine animal studies overview (6 papers) and Underwater Acoustics Research (5 papers). Laura Screpanti collaborates with scholars based in Italy, Ireland and France. Laura Screpanti's co-authors include David Scaradozzi, Eleni Mangina, G. Conte, Francesco Di Nardo, Alessandro Lucchetti, Daniele Costa, Massimo Virgili, Andrea Petetta, Adriano Mancini and Riccardo Rosati and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Laura Screpanti

23 papers receiving 144 citations

Peers

Laura Screpanti
Laura Screpanti
Citations per year, relative to Laura Screpanti Laura Screpanti (= 1×) peers Junge Shen

Countries citing papers authored by Laura Screpanti

Since Specialization
Citations

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

Fields of papers citing papers by Laura Screpanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Screpanti

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Screpanti. A scholar is included among the top collaborators of Laura Screpanti 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 Laura Screpanti. Laura Screpanti 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.
Nardo, Francesco Di, et al.. (2025). Real-Time Dolphin Whistle Detection on Raspberry Pi Zero 2 W with a TFLite Convolutional Neural Network. Robotics. 14(5). 67–67. 1 indexed citations
3.
Screpanti, Laura, et al.. (2024). Underwater Simulators Analysis for Digital Twinning. IEEE Access. 12. 34306–34324. 11 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.
Screpanti, Laura, et al.. (2024). A max-plus algebra approach to model laboratory experiences in blended control engineering education. IFAC-PapersOnLine. 58(26). 100–105.
7.
Scaradozzi, David, et al.. (2024). Convolutional Neural Networks for Enhancing Detection of Dolphin Whistles in a Dense Acoustic Environment. IEEE Access. 12. 127141–127148. 5 indexed citations
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.. (2023). Robots in aquatic environments to promote STEM and environmental awareness. Università Politecnica delle Marche (Università Politecnica delle Marche). 15. 1–6. 1 indexed citations
11.
Costa, Daniele, Laura Screpanti, & David Scaradozzi. (2023). Disseminating STEM Subjects and Ocean Literacy through a Bioinspired Toolkit. Biomimetics. 8(2). 161–161. 3 indexed citations
12.
Screpanti, Laura, et al.. (2022). Control Engineering and Robotics since Primary School: an Infrastructure for creating the Digital Twin model of the Learning Class.. IFAC-PapersOnLine. 55(17). 267–272. 4 indexed citations
13.
Screpanti, Laura, et al.. (2022). A digital twin infrastructure for designing an underwater survey with a professional DPV. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 829–834. 3 indexed citations
15.
Scaradozzi, David, et al.. (2021). Machine Learning for modelling and identification of Educational Robotics activities. Università Politecnica delle Marche (Università Politecnica delle Marche). 753–758. 2 indexed citations
16.
Scaradozzi, David, et al.. (2021). Identification and Assessment of Educational Experiences: Utilizing Data Mining With Robotics. IEEE Robotics & Automation Magazine. 28(4). 103–113. 3 indexed citations
17.
Scaradozzi, David, et al.. (2020). Identification of the Students Learning Process During Education Robotics Activities. Frontiers in Robotics and AI. 7. 21–21. 20 indexed citations
18.
Conte, G., et al.. (2017). Development and Experimental Tests of a ROS Multi-agent Structure for Autonomous Surface Vehicles. Journal of Intelligent & Robotic Systems. 92(3-4). 705–718. 18 indexed citations
19.
Conte, G., et al.. (2016). Experimental testing of a cooperative ASV-ROV multi-agent system. IFAC-PapersOnLine. 49(23). 347–354. 9 indexed citations
20.
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

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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