Antonio Moccia

2.4k total citations
132 papers, 1.8k citations indexed

About

Antonio Moccia is a scholar working on Aerospace Engineering, Artificial Intelligence and Oceanography. According to data from OpenAlex, Antonio Moccia has authored 132 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Aerospace Engineering, 20 papers in Artificial Intelligence and 19 papers in Oceanography. Recurrent topics in Antonio Moccia's work include Synthetic Aperture Radar (SAR) Applications and Techniques (56 papers), Advanced SAR Imaging Techniques (42 papers) and Target Tracking and Data Fusion in Sensor Networks (19 papers). Antonio Moccia is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (56 papers), Advanced SAR Imaging Techniques (42 papers) and Target Tracking and Data Fusion in Sensor Networks (19 papers). Antonio Moccia collaborates with scholars based in Italy, United States and United Kingdom. Antonio Moccia's co-authors include Alfredo Renga, Giancarmine Fasano, Domenico Accardo, Giancarlo Rufino, S. Vetrella, Maria Daniela Graziano, Marco D’Errico, Salvatore Luongo, Federico Corraro and Salvatore Esposito and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Antonio Moccia

127 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Moccia Italy 23 1.5k 295 225 212 161 132 1.8k
Giancarlo Rufino Italy 20 1.2k 0.8× 191 0.6× 124 0.6× 109 0.5× 165 1.0× 76 1.5k
Gethin Wyn Roberts China 27 950 0.6× 218 0.7× 196 0.9× 99 0.5× 259 1.6× 140 2.3k
Steen Savstrup Kristensen Denmark 17 447 0.3× 247 0.8× 232 1.0× 135 0.6× 87 0.5× 72 1.2k
Ahmed El‐Rabbany Canada 21 994 0.7× 117 0.4× 267 1.2× 186 0.9× 473 2.9× 99 1.6k
Dorota A. Grejner‐Brzezinska United States 25 1.4k 1.0× 190 0.6× 321 1.4× 300 1.4× 570 3.5× 165 2.1k
Kai‐Wei Chiang Taiwan 22 1.0k 0.7× 179 0.6× 192 0.9× 396 1.9× 106 0.7× 91 1.4k
Bin Zou China 22 784 0.5× 220 0.7× 248 1.1× 202 1.0× 75 0.5× 165 1.8k
Demoz Gebre‐Egziabher United States 21 1.6k 1.1× 124 0.4× 87 0.4× 691 3.3× 305 1.9× 100 2.0k
Changdon Kee South Korea 23 1.5k 1.0× 159 0.5× 56 0.2× 277 1.3× 346 2.1× 210 1.8k
Alfredo Renga Italy 19 807 0.5× 104 0.4× 117 0.5× 68 0.3× 261 1.6× 121 1.1k

Countries citing papers authored by Antonio Moccia

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Moccia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Moccia

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Moccia. A scholar is included among the top collaborators of Antonio Moccia 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 Antonio Moccia. Antonio Moccia 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.
Renga, Alfredo, et al.. (2024). Long-baseline multistatic and bistatic SAR products: Application to the RODiO mission. Acta Astronautica. 222. 314–324. 1 indexed citations
2.
Berardino, P., Manuela Bonano, Michele Manunta, et al.. (2024). Constellation Design and Analysis for Spaceborne DInSAR Mapping in Mid-Inclination Orbits: The IRIDE NIMBUS Mission. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–20. 4 indexed citations
3.
Renga, Alfredo, Maria Daniela Graziano, Antonio Moccia, et al.. (2024). Bistatic Observation Opportunities in PLATiNO-1 SAR Mission. 544–550.
4.
Martino, Gerardo Di, Alessio Di Simone, Antonio Iodice, et al.. (2021). X-Band SAR Antenna Design for a CubeSat Formation-Flying Remote Sensing Mission. 206–210. 3 indexed citations
5.
Renga, Alfredo, Maria Daniela Graziano, Marco Grasso, & Antonio Moccia. (2020). Timing and Design Issues in Formation Flying Distributed SAR. 12. 1–6. 7 indexed citations
6.
Renga, Alfredo, Maria Daniela Graziano, & Antonio Moccia. (2018). Segmentation of Marine SAR Images by Sublook Analysis and Application to Sea Traffic Monitoring. IEEE Transactions on Geoscience and Remote Sensing. 57(3). 1463–1477. 53 indexed citations
7.
Antoniou, Michail, A.G. Stove, Mikhail Cherniakov, et al.. (2018). Passive SAR satellite constellation for near-persistent earth observation: Prospects and issues. IEEE Aerospace and Electronic Systems Magazine. 33(12). 4–15. 9 indexed citations
8.
Vetrella, Amedeo Rodi, Giancarmine Fasano, Domenico Accardo, & Antonio Moccia. (2016). Differential GNSS and Vision-Based Tracking to Improve Navigation Performance in Cooperative Multi-UAV Systems. Sensors. 16(12). 2164–2164. 60 indexed citations
9.
Boccia, Valentina, Alfredo Renga, Giancarlo Rufino, et al.. (2015). Linear Dispersion Relation and Depth Sensitivity to Swell Parameters: Application to Synthetic Aperture Radar Imaging and Bathymetry. The Scientific World JOURNAL. 2015(1). 374579–374579. 15 indexed citations
10.
Renga, Alfredo, et al.. (2012). Validation of ship monitoring techniques by present generation SAR systems. 657–660. 1 indexed citations
11.
Renga, Alfredo, Marco D’Errico, Valentina Boccia, et al.. (2012). Analysis of SAR monitoring capabilities in coastal areas. 44–44. 4 indexed citations
12.
Luongo, Salvatore, et al.. (2011). Automatic Collision Avoidance System: Design, development and flight tests. 2011 IEEE/AIAA 30th Digital Avionics Systems Conference. 1. 5C1–1. 16 indexed citations
13.
Moccia, Antonio & Alfredo Renga. (2010). Potentialities and limitations of hybrid space-airborne bistatic SAR. 1–4. 1 indexed citations
14.
Renga, Alfredo, Maria Daniela Graziano, Marco D’Errico, et al.. (2010). Spaceborne-airborne bistatic radar for UAS navigation purposes: Preliminary analysis and strawman system identification. 3474–3477. 1 indexed citations
15.
Fasano, Giancarmine, et al.. (2009). A MULTI-SENSOR OBSTACLE DETECTION AND TRACKING SYSTEM FOR AUTONOMOUS UAV SENSE AND AVOID. 1–10. 8 indexed citations
16.
Moccia, Antonio & Alfredo Renga. (2008). Spaceborne Bistatic Radargrammetry: a robust method for DEM generation. 1–4. 1 indexed citations
17.
Rufino, Giancarlo & Antonio Moccia. (2005). Integrated VIS-NIR Hyperspectral / Thermal-IR Electro-Optical Payload System for a Mini-UAV. 38 indexed citations
18.
D’Errico, Marco & Antonio Moccia. (2003). The BISSAT mission: A bistatic SAR operating in formation with COSMO/SkyMed X-band radar. Proceedings - IEEE Aerospace Conference. 2. 2–809. 12 indexed citations
19.
Moccia, Antonio, et al.. (2000). Spaceborne bistatic Synthetic Aperture Radar for remote sensing applications. International Journal of Remote Sensing. 21(18). 3395–3414. 53 indexed citations
20.
Moccia, Antonio & S. Vetrella. (1985). Different problems of space stereoscopic observations. ESASP. 233. 181–187. 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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