Francesco Castaldo
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Artificial Intelligence
- Ocean Engineering top 10%
- Automotive Engineering
- Co-authors
- F. PalmieriRoland AngstAmir ZamirCarlo S. RegazzoniEnrico SantamatoDomenico PaparoSilvio SavaresePasquale Coscia
- Topics
- Robotics and Sensor-Based Localization (5 papers)Anomaly Detection Techniques and Applications (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Aerospace and Electronic SystemsIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Francesco Castaldo
15 papers receiving 218 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 94
- Aerospace Engineering 75
- Artificial Intelligence 52
- Ocean Engineering 47
- Automotive Engineering 23
Countries citing papers authored by Francesco Castaldo
This map shows the geographic impact of Francesco Castaldo'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 Francesco Castaldo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Castaldo more than expected).
Fields of papers citing papers by Francesco Castaldo
This network shows the impact of papers produced by Francesco Castaldo. 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 Francesco Castaldo. The network helps show where Francesco Castaldo may publish in the future.
Co-authorship network of co-authors of Francesco Castaldo
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Castaldo. A scholar is included among the top collaborators of Francesco Castaldo 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 Francesco Castaldo. Francesco Castaldo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 29 | |
| 3 | 1 | |
| 4 | Point-based path prediction from polar histograms | 9 |
| 5 | 21 | |
| 6 | 70 | |
| 7 | 5 | |
| 8 | Abnormal vessel behavior detection in port areas based on Dynamic Bayesian Networks | 21 |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 21 |
About Francesco Castaldo
Francesco Castaldo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Ocean Engineering, having authored 15 papers that have together received 223 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (94 citations), Ocean Engineering (47 citations) and Aerospace Engineering (75 citations). Francesco Castaldo has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include F. Palmieri, Roland Angst, Amir Zamir, Carlo S. Regazzoni, Enrico Santamato, Domenico Paparo, Silvio Savarese, Pasquale Coscia, Alexandre Alahi and Lamberto Ballan. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Circuits and Systems for Video Technology.
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.