Samuele Capobianco
- Ocean Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Environmental Engineering
- Electrical and Electronic Engineering
- Co-authors
- Paolo BracaLeonardo M. MillefioriPeter WillettNicola FortiSimone MarinaiDino GiuliFederica PaganelliMuhammad Imran Malik
- Topics
- Ship Hydrodynamics and Maneuverability (3 papers)Maritime Navigation and Safety (3 papers)Handwritten Text Recognition Techniques (2 papers)
- Journals
- IEEE Transactions on Aerospace and Electronic SystemsPattern Recognition LettersFuture Internet
- Partner nations
- ItalyBelgiumUnited States
In The Last Decade
Samuele Capobianco
7 papers receiving 313 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Ocean Engineering 161
- Computer Vision and Pattern Recognition 61
- Artificial Intelligence 57
- Environmental Engineering 48
- Electrical and Electronic Engineering 35
Countries citing papers authored by Samuele Capobianco
This map shows the geographic impact of Samuele Capobianco'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 Samuele Capobianco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuele Capobianco more than expected).
Fields of papers citing papers by Samuele Capobianco
This network shows the impact of papers produced by Samuele Capobianco. 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 Samuele Capobianco. The network helps show where Samuele Capobianco may publish in the future.
Co-authorship network of co-authors of Samuele Capobianco
This figure shows the co-authorship network connecting the top 25 collaborators of Samuele Capobianco. A scholar is included among the top collaborators of Samuele Capobianco 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 Samuele Capobianco. Samuele Capobianco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networksbreakdown → | 157 |
| 3 | 10 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 38 | |
| 7 | 64 |
About Samuele Capobianco
Samuele Capobianco is a scholar working on Human Factors and Ergonomics, Ocean Engineering and Human-Computer Interaction, having authored 7 papers that have together received 320 indexed citations. Recurring topics across this work include Ship Hydrodynamics and Maneuverability (3 papers), Maritime Navigation and Safety (3 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Ocean Engineering (161 citations), Transportation (27 citations) and Environmental Engineering (48 citations). Samuele Capobianco has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Paolo Braca, Leonardo M. Millefiori, Peter Willett, Nicola Forti, Simone Marinai, Dino Giuli, Federica Paganelli, Muhammad Imran Malik, Muhammad Zeshan Afzal and Andreas Dengel. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Pattern Recognition Letters and Future Internet.
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.