Luca Cazzanti
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Ocean Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Maya R. GuptaYihua ChenAli RahimiEric GarciaKonstantinos PelekanakisJoão AlvesGiovanni ZappaJ.W. Pitton
- Topics
- Underwater Vehicles and Communication Systems (6 papers)Underwater Acoustics Research (5 papers)Neural Networks and Applications (5 papers)
- Journals
- The Journal of the Acoustical Society of AmericaPattern RecognitionIEEE Signal Processing Magazine
- Partner nations
- United StatesBelgiumSweden
In The Last Decade
Luca Cazzanti
18 papers receiving 351 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 138
- Signal Processing 79
- Ocean Engineering 69
- Electrical and Electronic Engineering 51
Countries citing papers authored by Luca Cazzanti
This map shows the geographic impact of Luca Cazzanti'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 Luca Cazzanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Cazzanti more than expected).
Fields of papers citing papers by Luca Cazzanti
This network shows the impact of papers produced by Luca Cazzanti. 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 Luca Cazzanti. The network helps show where Luca Cazzanti may publish in the future.
Co-authorship network of co-authors of Luca Cazzanti
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Cazzanti. A scholar is included among the top collaborators of Luca Cazzanti 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 Luca Cazzanti. Luca Cazzanti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 0 | |
| 3 | Multi-Task Output Space Regularization | 1 |
| 4 | 3 | |
| 5 | 193 | |
| 6 | Fusing similarities and Euclidean features with generative classifiers | 2 |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 18 | |
| 12 | 5 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 17 | |
| 17 | 0 | |
| 18 | 11 | |
| 19 | 27 | |
| 20 | 2 |
About Luca Cazzanti
Luca Cazzanti is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Oceanography, having authored 23 papers that have together received 380 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (6 papers), Underwater Acoustics Research (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Signal Processing (79 citations), Computer Vision and Pattern Recognition (138 citations) and Artificial Intelligence (183 citations). Luca Cazzanti has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include Maya R. Gupta, Yihua Chen, Ali Rahimi, Eric Garcia, Konstantinos Pelekanakis, João Alves, Giovanni Zappa, J.W. Pitton, Arindam Das and Peter Sadowski. Their work appears in journals such as The Journal of the Acoustical Society of America, Pattern Recognition and IEEE Signal Processing Magazine.
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.