Daniele Latini

447 total citations
40 papers, 350 citations indexed

About

Daniele Latini is a scholar working on Oceanography, Media Technology and Pollution. According to data from OpenAlex, Daniele Latini has authored 40 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oceanography, 10 papers in Media Technology and 9 papers in Pollution. Recurrent topics in Daniele Latini's work include Oil Spill Detection and Mitigation (9 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image Fusion Techniques (6 papers). Daniele Latini is often cited by papers focused on Oil Spill Detection and Mitigation (9 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image Fusion Techniques (6 papers). Daniele Latini collaborates with scholars based in Italy, United States and Poland. Daniele Latini's co-authors include Fabio Del Frate, Alireza Taravat, Cathleen E. Jones, Valerio Gagliardi, Luca Bianchini Ciampoli, Andrea Benedetto, G. Schiavon, Federico Carbone, Gaetano Marrocco and Michela Longhi and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Daniele Latini

38 papers receiving 341 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniele Latini Italy 10 108 83 79 78 63 40 350
Sudhir Kumar Chaturvedi India 9 85 0.8× 82 1.0× 91 1.2× 75 1.0× 21 0.3× 25 328
Yingfei Liu China 9 71 0.7× 21 0.3× 77 1.0× 77 1.0× 143 2.3× 18 419
Hongan Wu China 12 286 2.6× 23 0.3× 27 0.3× 70 0.9× 111 1.8× 43 440
Yuri Taddia Italy 11 97 0.9× 39 0.5× 33 0.4× 40 0.5× 236 3.7× 14 472
Hu China 11 47 0.4× 34 0.4× 28 0.4× 45 0.6× 36 0.6× 76 367
Maria Alicandro Italy 12 127 1.2× 15 0.2× 30 0.4× 48 0.6× 190 3.0× 24 584
Urša Kanjir Slovenia 6 89 0.8× 22 0.3× 40 0.5× 99 1.3× 82 1.3× 17 374
Zhengwei Guo China 15 379 3.5× 14 0.2× 82 1.0× 77 1.0× 97 1.5× 65 704
Paweł Burdziakowski Poland 13 125 1.2× 12 0.1× 39 0.5× 128 1.6× 247 3.9× 37 536

Countries citing papers authored by Daniele Latini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Latini, Daniele, et al.. (2024). Toward a Standard Approach for UAS-Based Multiangular Dataset Collection for BRDF Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 19487–19502. 1 indexed citations
2.
Kawulok, Michał, Jakub Nalepa, Daniel Kostrzewa, et al.. (2024). Hyperspectral Image Super-Resolution: Task-Based Evaluation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18949–18966. 2 indexed citations
3.
Machidon, Octavian, et al.. (2023). AgriAdapt: Towards Resource-Efficient UAV Weed Detection using Adaptable Deep Learning. 193–200. 1 indexed citations
4.
Kawulok, Michał, Jakub Nalepa, Daniel Kostrzewa, et al.. (2023). Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. Cineca Institutional Research Information System (Tor Vergata University). 1489–1492. 4 indexed citations
5.
Latini, Daniele, et al.. (2021). Integration of IEM_B, ISMN and Sar Sentinel-1 Data for Accurate Soil Moisture Estimation Using Neural Networks. Cineca Institutional Research Information System (Tor Vergata University). 1272–1275. 3 indexed citations
6.
Latini, Daniele, et al.. (2021). UAV-Based Observations for Surface BRDF Characterization. Cineca Institutional Research Information System (Tor Vergata University). 8193–8196. 3 indexed citations
7.
Schiavon, G., et al.. (2020). Using neural networks for change detection and classification of COSMO-SkyMed Images. Cineca Institutional Research Information System (Tor Vergata University). 1–5. 1 indexed citations
8.
Ciampoli, Luca Bianchini, et al.. (2019). Transport Infrastructure Monitoring by InSAR and GPR Data Fusion. Surveys in Geophysics. 41(3). 371–394. 62 indexed citations
9.
Longhi, Michela, Daniele Latini, Federico Carbone, et al.. (2017). The Interrogation Footprint of RFID-UAV: Electromagnetic Modeling and Experimentations. IEEE Journal of Radio Frequency Identification. 1(2). 155–162. 27 indexed citations
10.
Galati, Gaspare, et al.. (2017). Visibility trials of unmanned aerial vehicles (Drones) by commercial X-band radar in sub-urban environment. Cineca Institutional Research Information System (Tor Vergata University). 73. 1–6. 5 indexed citations
11.
Marconcini, Mattia, Wieke Heldens, Fabio Del Frate, et al.. (2017). EO-based products in support of urban heat fluxes estimation. Cineca Institutional Research Information System (Tor Vergata University). 1–4. 15 indexed citations
12.
Longhi, Michela, et al.. (2016). RFIDrone: Preliminary experiments and electromagnetic models. Cineca Institutional Research Information System (Tor Vergata University). 450–453. 17 indexed citations
13.
Heldens, Wieke, Fabio Del Frate, Fredrik Lindberg, et al.. (2015). Mapping urban surface characteristics for urban energy flux modelling. elib (German Aerospace Center). 1 indexed citations
14.
Jones, Cathleen E., et al.. (2014). Application of InSAR to detection of localized subsidence and its effects on flood protection infrastructure in the New Orleans area. EGUGA. 14817. 1 indexed citations
15.
Frate, Fabio Del, Daniele Latini, Alireza Taravat, & Cathleen E. Jones. (2013). A novel multi-band SAR data technique for fully automatic oil spill detection in the ocean. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8891. 889105–889105. 4 indexed citations
16.
Frate, Fabio Del, et al.. (2012). PCNN for automatic segmentation and information extraction from X-band SAR imagery. International Journal of Image and Data Fusion. 4(1). 75–88. 16 indexed citations
17.
Frate, Fabio Del, et al.. (2012). A new automatic technique for coastline extraction from SAR images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8536. 85360R–85360R. 4 indexed citations
18.
Frate, Fabio Del, et al.. (2012). Fully automatic oil spill detection from COSMO-SkyMed imagery using a neural network approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8536. 85360T–85360T. 1 indexed citations
19.
Frate, Fabio Del, A. Giacomini, Daniele Latini, Domenico Solimini, & William J. Emery. (2011). The Gulf of Mexico oil rig accident: analysis by different SAR satellite images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8179. 81790F–81790F. 3 indexed citations
20.
Frate, Fabio Del, Daniele Latini, & Chiara Pratola. (2010). Automatic object extraction from VHR satellite SAR images using pulse coupled neural networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7829. 782905–782905. 2 indexed citations

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.

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