F. Di Ruscio

6.3k total citations
16 papers, 72 citations indexed

About

F. Di Ruscio is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, F. Di Ruscio has authored 16 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ocean Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Aerospace Engineering. Recurrent topics in F. Di Ruscio's work include Underwater Vehicles and Communication Systems (12 papers), Robotics and Sensor-Based Localization (6 papers) and Water Quality Monitoring Technologies (4 papers). F. Di Ruscio is often cited by papers focused on Underwater Vehicles and Communication Systems (12 papers), Robotics and Sensor-Based Localization (6 papers) and Water Quality Monitoring Technologies (4 papers). F. Di Ruscio collaborates with scholars based in Italy, Spain and Germany. F. Di Ruscio's co-authors include Riccardo Costanzi, Andrea Caiti, Mariano Bresciani, Francisco Bonin‐Font, Nuno Gracias, Josep Quintana, Rafael García, Paolo Paoletti, Lorenzo Pollini and Matteo Franchi and has published in prestigious journals such as Ocean Engineering, IFAC-PapersOnLine and Journal of Marine Science and Engineering.

In The Last Decade

F. Di Ruscio

12 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Di Ruscio Italy	6	40	25	20	12	9	16	72
Carlos Barrera Spain	6	93 2.3×	27 1.1×	19 0.9×	20 1.7×	9 1.0×	21	139
M. Chaffey United States	7	101 2.5×	6 0.2×	15 0.8×	40 3.3×	6 0.7×	18	126
Wentao Yang China	8	8 0.2×	7 0.3×	31 1.6×	18 1.5×	2 0.2×	35	192
Yudong Wang China	4	26 0.7×	276 11.0×	10 0.5×	27 2.3×	23 2.6×	5	304
Xianqiu Wang China	4	7 0.2×	7 0.3×	19 0.9×	4 0.3×	2 0.2×	6	71
Lojze Žust Slovenia	5	30 0.8×	18 0.7×	11 0.6×	14 1.2×	2 0.2×	7	62
Jon Berry United Kingdom	4	84 2.1×	9 0.4×	22 1.1×	21 1.8×	35 3.9×	8	107
Gavin Catt Australia	3	8 0.2×	67 2.7×	75 3.8×	4 0.3×	4 0.4×	3	107
Lianguo Wang China	6	8 0.2×	9 0.4×	7 0.3×	3 0.3×	2 0.2×	14	70

Countries citing papers authored by F. Di Ruscio

Since Specialization

Citations

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

Fields of papers citing papers by F. Di Ruscio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Di Ruscio. 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 F. Di Ruscio. The network helps show where F. Di Ruscio may publish in the future.

Co-authorship network of co-authors of F. Di Ruscio

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Ruscio, F. Di, et al.. (2024). Comparison of Deep Learning Strategies for the Identification of Artificial Objects in Underwater Environment. CINECA IRIS Institutial research information system (University of Pisa). 1–6.

Ruscio, F. Di, et al.. (2024). Visual-based Trajectory Optimization for Autonomous Underwater Vehicles. CINECA IRIS Institutial research information system (University of Pisa). 1–7.

Magi, Alberto, et al.. (2024). Comparative Analysis of CNN Models for Semantic Segmentation of Posidonia Oceanica Meadows. Florence Research (University of Florence). 1–6. 1 indexed citations

Ruscio, F. Di, et al.. (2023). Development and testing of a navigation solution for Autonomous Underwater Vehicles based on stereo vision. Ocean Engineering. 280. 114757–114757. 8 indexed citations

Bresciani, Mariano, et al.. (2023). Detection and classification of man-made objects for the autonomy of underwater robots. IFAC-PapersOnLine. 56(2). 5741–5746. 3 indexed citations

Ruscio, F. Di, et al.. (2023). Dealing with Feature Correspondence in Visual Odometry for Underwater Applications. CINECA IRIS Institutial research information system (University of Pisa). 1–8. 1 indexed citations

Ruscio, F. Di, Riccardo Costanzi, Nuno Gracias, Josep Quintana, & Rafael García. (2023). Autonomous boundary inspection of Posidonia oceanica meadows using an underwater robot. Ocean Engineering. 283. 114988–114988. 8 indexed citations

Ruscio, F. Di, et al.. (2023). Comparison of Monocular and Stereo Vision approaches for Structure Inspection using Autonomous Underwater Vehicles. CINECA IRIS Institutial research information system (University of Pisa). 1–7.

Ruscio, F. Di, et al.. (2022). Stereo Vision System for Autonomous Ship Hull Inspection. IFAC-PapersOnLine. 55(31). 375–380. 4 indexed citations

10.

Ruscio, F. Di, et al.. (2022). Visual-based Navigation Strategy for Autonomous Underwater Vehicles in Monitoring Scenarios. IFAC-PapersOnLine. 55(31). 369–374. 9 indexed citations

11.

Ruscio, F. Di, et al.. (2021). Path Planning for Underwater Information Gathering Based on Genetic Algorithms and Data Stochastic Models. Journal of Marine Science and Engineering. 9(11). 1183–1183. 19 indexed citations

12.

Ruscio, F. Di, et al.. (2021). Cooperative ASV/AUV system exploiting active acoustic localization. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4337–4342. 7 indexed citations

13.

Ruscio, F. Di, et al.. (2021). Information Communication Technology (ICT) Tools for Preservation of Underwater Environment: A Vision-Based Posidonia Oceanica Monitoring. Marine Technology Society Journal. 55(4). 11–23. 3 indexed citations

14.

Ruscio, F. Di, Riccardo Costanzi, Matteo Franchi, et al.. (2021). Localisation Approaches for Underwater Autonomy within the EUMarineRobots H2020 project: experimental activity at SEALab. OCEANS 2021: San Diego – Porto. 1–5.

15.

Ruscio, F. Di, et al.. (2021). ASV acoustically tracking and following an AUV: preliminary experimental evaluation. OCEANS 2021: San Diego – Porto. 1–7. 2 indexed citations

16.

Ruscio, F. Di, et al.. (2019). Low-Cost Monitoring System for Hydroponic Urban Vertical Farms. Zenodo (CERN European Organization for Nuclear Research). 13(10). 267–271. 7 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.

Explore authors with similar magnitude of impact