Raffaele Grasso

1.2k total citations
60 papers, 921 citations indexed

About

Raffaele Grasso is a scholar working on Ocean Engineering, Oceanography and Artificial Intelligence. According to data from OpenAlex, Raffaele Grasso has authored 60 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ocean Engineering, 19 papers in Oceanography and 19 papers in Artificial Intelligence. Recurrent topics in Raffaele Grasso's work include Maritime Navigation and Safety (19 papers), Target Tracking and Data Fusion in Sensor Networks (16 papers) and Underwater Vehicles and Communication Systems (14 papers). Raffaele Grasso is often cited by papers focused on Maritime Navigation and Safety (19 papers), Target Tracking and Data Fusion in Sensor Networks (16 papers) and Underwater Vehicles and Communication Systems (14 papers). Raffaele Grasso collaborates with scholars based in Italy, Belgium and United States. Raffaele Grasso's co-authors include Paolo Braca, Salvatore Maresca, Jochen Horstmann, Fulvio Gini, Maria Greco, Stefano Fortunati, Giovanni Corsini, Paolo Cipollini, T. M. Pollak and H. P. Jenssen and has published in prestigious journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Raffaele Grasso

59 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raffaele Grasso Italy 14 256 256 229 210 200 60 921
Jean‐Philippe Montillet China 15 313 1.2× 426 1.7× 61 0.3× 205 1.0× 111 0.6× 53 855
P.T. Gough New Zealand 18 528 2.1× 657 2.6× 240 1.0× 174 0.8× 43 0.2× 77 1.2k
Ali Khenchaf France 17 518 2.0× 570 2.2× 125 0.5× 101 0.5× 110 0.6× 123 1.1k
Dehong Liu United States 19 44 0.2× 121 0.5× 268 1.2× 348 1.7× 66 0.3× 85 1.2k
Yunhua Zhang China 22 231 0.9× 1.2k 4.8× 156 0.7× 428 2.0× 51 0.3× 257 1.9k
Zhen Dong China 19 77 0.3× 956 3.7× 114 0.5× 105 0.5× 235 1.2× 217 1.5k
A. Premoli Italy 16 101 0.4× 88 0.3× 31 0.1× 274 1.3× 64 0.3× 98 947
Marie Chabert France 16 113 0.4× 147 0.6× 71 0.3× 179 0.9× 85 0.4× 68 1.2k
Qian Song China 19 103 0.4× 667 2.6× 322 1.4× 316 1.5× 144 0.7× 128 1.2k
Wen Chen China 18 254 1.0× 530 2.1× 58 0.3× 138 0.7× 65 0.3× 66 823

Countries citing papers authored by Raffaele Grasso

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Grasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Grasso

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Grasso. A scholar is included among the top collaborators of Raffaele Grasso 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 Raffaele Grasso. Raffaele Grasso 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.
Acito, Nicola, et al.. (2023). Saliency-Aided Online RPCA for Moving Target Detection in Infrared Maritime Scenarios. Sensors. 23(14). 6334–6334. 3 indexed citations
2.
Ferri, Gabriele, Raffaele Grasso, Elena Camossi, et al.. (2021). Developing a Robotic Hybrid Network for Coastal Surveillance: the INFORE Experience. OCEANS 2021: San Diego – Porto. 1–10. 4 indexed citations
3.
Camossi, Elena, et al.. (2021). Maritime Linked Data for Situational Awareness Heterogeneous Sensor Networks. OCEANS 2021: San Diego – Porto. 1–10. 2 indexed citations
4.
5.
Grasso, Raffaele, Leonardo M. Millefiori, & Paolo Braca. (2018). Bayesian Track-to-Graph Association for Maritime Traffic Monitoring. 1042–1046. 2 indexed citations
6.
Grasso, Raffaele, Paolo Braca, Stefano Fortunati, Fulvio Gini, & Maria Greco. (2016). Dynamic underwater glider network for environmental field estimation. IEEE Transactions on Aerospace and Electronic Systems. 52(1). 379–395. 11 indexed citations
7.
Fortunati, Stefano, Raffaele Grasso, Fulvio Gini, & Maria Greco. (2014). Single snapshot DOA estimation using compressed sensing. CINECA IRIS Institutial research information system (University of Pisa). 2297–2301. 37 indexed citations
8.
Maresca, Salvatore, Paolo Braca, Jochen Horstmann, & Raffaele Grasso. (2014). Maritime Surveillance Using Multiple High-Frequency Surface-Wave Radars. IEEE Transactions on Geoscience and Remote Sensing. 52(8). 5056–5071. 116 indexed citations
9.
Caruso, Francesco, Virginia Sciacca, G. Bellia, et al.. (2014). Deep-Sea Multidisciplinary Observatories For The Passive Acoustic Monitoring Of Cetaceans. 1–1. 3 indexed citations
10.
Braca, Paolo, Raffaele Grasso, Michele Vespe, Salvatore Maresca, & Jochen Horstmann. (2012). Application of the JPDA-UKF to HFSW radars for maritime situational awareness. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 2585–2592. 22 indexed citations
11.
Maresca, Salvatore, et al.. (2011). Performance assessment of HF-radar ship detection. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 131–136. 5 indexed citations
12.
Grasso, Raffaele, et al.. (2011). A Decision Support Architecture for Maritime Operations Exploiting Multiple METOC Centres and Uncertainty. International Journal of Strategic Decision Sciences. 2(1). 1–27. 9 indexed citations
13.
Maresca, Salvatore, Maria Greco, Fulvio Gini, et al.. (2010). Vessel detection and classification: An integrated maritime surveillance system in the Tyrrhenian sea. CINECA IRIS Institutial research information system (University of Pisa). 43. 40–45. 16 indexed citations
14.
Maresca, Salvatore, Maria Greco, Fulvio Gini, et al.. (2010). The HF surface wave radar WERA. Part II: Spectral analysis of recorded data. CINECA IRIS Institutial research information system (University of Pisa). 969–974. 6 indexed citations
15.
Cococcioni, Marco, et al.. (2010). A review of DSSs developed at NURC and future trends. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
16.
Grasso, Raffaele, et al.. (2008). A Study for Near-Shore Characterization Using High-Resolution Hyperspectral and Multispectral Images. 48. II–1044. 2 indexed citations
17.
18.
Corsini, Giovanni, et al.. (2003). Radial Basis Function and Multilayer Perceptron neural networks for sea water optically active parameter estimation in case II waters: A comparison. International Journal of Remote Sensing. 24(20). 3917–3931. 27 indexed citations
19.
Corsini, Giovanni, Raffaele Grasso, & Paolo Cipollini. (2002). Regional bio‐optical algorithms for the Alboran Sea from a reflectance model and in situ data. Geophysical Research Letters. 29(15). 8 indexed citations
20.
Corsini, Giovanni, et al.. (2001). A study of the Alboran sea mesoscale system by means of empirical orthogonal function decomposition of satellite data. Journal of Marine Systems. 29(1-4). 293–311. 62 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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