Antonio Moccia
- Aerospace Engineering top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Environmental Engineering top 5%
- Artificial Intelligence top 5%
- Oceanography top 5%
- Co-authors
- Alfredo RengaGiancarmine FasanoDomenico AccardoGiancarlo RufinoS. VetrellaMaria Daniela GrazianoMarco D’ErricoSalvatore Luongo
- Topics
- Synthetic Aperture Radar (SAR) Applications and Techniques (56 papers)Advanced SAR Imaging Techniques (42 papers)Target Tracking and Data Fusion in Sensor Networks (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingSensors
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Antonio Moccia
127 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 71
- Aerospace Engineering 1.5k
- Computer Vision and Pattern Recognition 295
- Environmental Engineering 225
- Artificial Intelligence 212
- Oceanography 161
Countries citing papers authored by Antonio Moccia
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 53 | |
| 7 | 9 | |
| 8 | 60 | |
| 9 | 15 | |
| 10 | Validation of ship monitoring techniques by present generation SAR systems | 1 |
| 11 | 4 | |
| 12 | 16 | |
| 13 | Potentialities and limitations of hybrid space-airborne bistatic SAR | 1 |
| 14 | 1 | |
| 15 | A MULTI-SENSOR OBSTACLE DETECTION AND TRACKING SYSTEM FOR AUTONOMOUS UAV SENSE AND AVOID | 8 |
| 16 | Spaceborne Bistatic Radargrammetry: a robust method for DEM generation | 1 |
| 17 | 38 | |
| 18 | 12 | |
| 19 | 53 | |
| 20 | Different problems of space stereoscopic observations | 1 |
About Antonio Moccia
Antonio Moccia is a scholar working on Aerospace Engineering, Oceanography and Environmental Engineering, having authored 132 papers that have together received 1.8k indexed citations. Recurring topics across this 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). The work is most often cited by research in Aerospace Engineering (1.5k citations), Environmental Engineering (225 citations) and Computer Vision and Pattern Recognition (295 citations). Antonio Moccia has collaborated with scholars based in Italy, United States and United Kingdom. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sensors.
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.