Daniele Latini
- Aerospace Engineering top 10%
- Pollution top 10%
- Oceanography top 10%
- Ocean Engineering top 10%
- Environmental Engineering
- Co-authors
- Fabio Del FrateAlireza TaravatCathleen E. JonesValerio GagliardiLuca Bianchini CiampoliG. SchiavonAndrea BenedettoFederico Carbone
- Topics
- Oil Spill Detection and Mitigation (9 papers)Remote-Sensing Image Classification (7 papers)Advanced Image Fusion Techniques (6 papers)
- Journals
- Remote Sensing of EnvironmentIEEE Transactions on Geoscience and Remote SensingInternational Journal of Remote Sensing
- Partner nations
- ItalyUnited StatesPoland
In The Last Decade
Daniele Latini
38 papers receiving 341 citations
Peers
Comparison fields: 5 of 54
- Aerospace Engineering 108
- Pollution 83
- Oceanography 79
- Ocean Engineering 78
- Environmental Engineering 63
Countries citing papers authored by Daniele Latini
This map shows the geographic impact of Daniele Latini'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 Daniele Latini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Latini more than expected).
Fields of papers citing papers by Daniele Latini
This network shows the impact of papers produced by Daniele Latini. 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 Daniele Latini. The network helps show where Daniele Latini may publish in the future.
Co-authorship network of co-authors of Daniele Latini
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Latini. A scholar is included among the top collaborators of Daniele Latini 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 Daniele Latini. Daniele Latini 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 62 | |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 17 | |
| 14 | Application of InSAR to detection of localized subsidence and its effects on flood protection infrastructure in the New Orleans area | 1 |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 16 | |
| 18 | 28 | |
| 19 | 3 | |
| 20 | 2 |
About Daniele Latini
Daniele Latini is a scholar working on Media Technology, Oceanography and Pollution, having authored 40 papers that have together received 350 indexed citations. Recurring topics across this work include Oil Spill Detection and Mitigation (9 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Pollution (83 citations), Media Technology (60 citations) and Oceanography (79 citations). Daniele Latini has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Fabio Del Frate, Alireza Taravat, Cathleen E. Jones, Valerio Gagliardi, Luca Bianchini Ciampoli, G. Schiavon, Andrea Benedetto, Federico Carbone, Michela Longhi and Gaetano Marrocco. Their work appears in journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.
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.