Giovanni Indiveri

2.0k total citations
109 papers, 1.3k citations indexed

About

Giovanni Indiveri is a scholar working on Ocean Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Giovanni Indiveri has authored 109 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Ocean Engineering, 43 papers in Control and Systems Engineering and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Giovanni Indiveri's work include Underwater Vehicles and Communication Systems (53 papers), Robotic Path Planning Algorithms (28 papers) and Adaptive Control of Nonlinear Systems (25 papers). Giovanni Indiveri is often cited by papers focused on Underwater Vehicles and Communication Systems (53 papers), Robotic Path Planning Algorithms (28 papers) and Adaptive Control of Nonlinear Systems (25 papers). Giovanni Indiveri collaborates with scholars based in Italy, Germany and Portugal. Giovanni Indiveri's co-authors include Massimo Caccia, G. Veruggio, Daniela De Palma, Giuseppe Casalino, Gianfranco Parlangeli, Gianluca Antonelli, Enrico Simetti, Filippo Arrichiello, M. Aicardi and S. Chiaverini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Behavioral and Brain Sciences and The International Journal of Robotics Research.

In The Last Decade

Giovanni Indiveri

106 papers receiving 1.3k citations

Peers

Giovanni Indiveri

CSE

CVPR

Enrico Simetti Italy

Bong-Huan Jun South Korea

Alessio Turetta Italy

Pan-Mook Lee South Korea

Edin Omerdić Ireland

J. Yuh United States

Luis G. García-Valdovinos Mexico

Filippo Arrichiello Italy

Vincent Creuze France

Sung Kyung Hong South Korea

Enrico Simetti Italy

Giovanni Indiveri

741 ×1.1

468 ×0.7

CSE

420 ×1.1

CVPR

200 ×0.8

101 ×0.4

Citations per year, relative to Giovanni Indiveri Giovanni Indiveri (= 1×) peers Enrico Simetti

Countries citing papers authored by Giovanni Indiveri

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Indiveri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Indiveri

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

All Works

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20 of 20 papers shown

Tarasi, Luca, et al.. (2025). An Obstacle Tracking Pipeline for Autonomous Surface Vehicles Based on Optical Camera, Infrared Camera and LiDAR. CINECA IRIS Institutial Research Information System (University of Genoa). 1–10. 1 indexed citations

Tarasi, Luca, et al.. (2025). Preliminary Validation of a COLREGs-Compliant Navigation Framework Using LiDAR and RGB Data Fusion. CINECA IRIS Institutial Research Information System (University of Genoa). 1–7. 1 indexed citations

Tarasi, Luca, et al.. (2024). LiDAR and RGB Camera Performance for Obstacle Detection in Marine Environment. CINECA IRIS Institutial Research Information System (University of Genoa). 1–10.

Indiveri, Giovanni, et al.. (2024). Protocol-Driven A* Algorithm for Fast ASV Motion Planning in Dynamic Scenarios. CINECA IRIS Institutial Research Information System (University of Genoa). 1–10. 2 indexed citations

Simetti, Enrico, et al.. (2022). Analysis of Hybrid Cable-Thruster actuated ROV in heavy lifting interventions. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8430–8435.

Indiveri, Giovanni. (2018). Geotechnical Surveys with Cooperative Autonomous Marine Vehicles: the EC WiMUST project. CINECA IRIS Institutial Research Information System (University of Genoa). 49. 1–6. 7 indexed citations

Palma, Daniela De, et al.. (2018). Preliminary results of a dynamic modelling approach for underwater multi-hull vehicles. IFAC-PapersOnLine. 51(29). 86–91. 5 indexed citations

Simetti, Enrico, et al.. (2017). ROBUST project: Control framework for deep sea mining exploration. CINECA IRIS Institutial Research Information System (University of Genoa). 1–6. 6 indexed citations

Antonelli, Gianluca, S. M. Jesus, К. Г. Кебкал, et al.. (2016). The Widely scalable Mobile Underwater Sonar Technology (WiMUST) H2020 project: First year status. OCEANS 2016 - Shanghai. 1–8. 7 indexed citations

10.

Palma, Daniela De & Giovanni Indiveri. (2016). Underwater vehicle guidance control design within the DexROV project: preliminary results. IFAC-PapersOnLine. 49(23). 265–272. 3 indexed citations

11.

Arrichiello, Filippo, Daniela De Palma, Giovanni Indiveri, & Gianfranco Parlangeli. (2015). Observability analysis for single range localization. CINECA IRIS Institutial Research Information System (University of Genoa). 1–10. 6 indexed citations

12.

Gancet, Jérémi, Pierre Letier, Peter Weiß, et al.. (2015). DexROV: Dexterous Undersea Inspection and Maintenance in Presence of Communication Latencies. IFAC-PapersOnLine. 48(2). 218–223. 26 indexed citations

13.

Gancet, Jérémi, Pierre Letier, Michel Ilzkovitz, et al.. (2015). DexROV: Enabling effective dexterous ROV operations in presence of communication latency. CINECA IRIS Institutial Research Information System (University of Genoa). 1–6. 7 indexed citations

14.

Indiveri, Giovanni, Daniela De Palma, & Gianfranco Parlangeli. (2014). Single range localization in 3D: observability and robustness issues. CINECA IRIS Institutial Research Information System (University of Genoa). 339–346. 1 indexed citations

15.

Parlangeli, Gianfranco & Giovanni Indiveri. (2010). Dubins inspired 2D smooth paths with bounded curvature and curvature derivative.. IFAC Proceedings Volumes. 43(16). 252–257. 7 indexed citations

16.

Aicardi, M., Giuseppe Casalino, & Giovanni Indiveri. (2002). Planar motion steering of underwater vehicles by exploiting drag coefficient modulation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1. 915–919. 1 indexed citations

17.

Christaller, Thomas, et al.. (2001). GMD-Robots. 579–582. 1 indexed citations

18.

Niebur, Ernst, Mounya Elhilali, Iyad Obeid, et al.. (2001). Research, robots, and reality: A statement on current trends in biorobotics. Behavioral and Brain Sciences. 24(6). 1072–1073. 20 indexed citations

19.

Aicardi, M., Giorgio Cannata, Giuseppe Casalino, & Giovanni Indiveri. (2000). Guidance of 3D Underwater non Holonomic Vehicle Via Projection on Holonomic Solutions. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 8 indexed citations

20.

Caccia, Massimo, Giovanni Indiveri, & G. Veruggio. (2000). Modeling and identification of open-frame variable configuration unmanned underwater vehicles. IEEE Journal of Oceanic Engineering. 25(2). 227–240. 184 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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