Dario Spiller

1.2k total citations
57 papers, 771 citations indexed

About

Dario Spiller is a scholar working on Aerospace Engineering, Astronomy and Astrophysics and Ecology. According to data from OpenAlex, Dario Spiller has authored 57 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Aerospace Engineering, 12 papers in Astronomy and Astrophysics and 11 papers in Ecology. Recurrent topics in Dario Spiller's work include Space Satellite Systems and Control (18 papers), Spacecraft Dynamics and Control (16 papers) and Remote Sensing in Agriculture (11 papers). Dario Spiller is often cited by papers focused on Space Satellite Systems and Control (18 papers), Spacecraft Dynamics and Control (16 papers) and Remote Sensing in Agriculture (11 papers). Dario Spiller collaborates with scholars based in Italy, United States and United Arab Emirates. Dario Spiller's co-authors include Fabio Curti, Luigi Ansalone, Roberto Sabatini, Kathiravan Thangavel, Alessandro Sebastianelli, Silvia Liberata Ullo, Bertrand Le Saux, Stefania Amici, Pier Marzocca and Pierre-Philippe Mathieu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Dario Spiller

49 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dario Spiller Italy 18 328 134 133 103 81 57 771
Wen Chen China 18 530 1.6× 124 0.9× 65 0.5× 30 0.3× 46 0.6× 66 823
Jie Jiang China 21 689 2.1× 47 0.4× 213 1.6× 63 0.6× 312 3.9× 101 1.2k
Bo Peng China 16 51 0.2× 155 1.2× 44 0.3× 29 0.3× 76 0.9× 89 766
Yongqing Wang China 16 223 0.7× 30 0.2× 271 2.0× 35 0.3× 75 0.9× 131 1.0k
Jihao Yin China 18 203 0.6× 30 0.2× 233 1.8× 160 1.6× 456 5.6× 89 1.6k
Voon Chet Koo Malaysia 14 601 1.8× 20 0.1× 57 0.4× 82 0.8× 112 1.4× 93 970
Xiyan Sun China 12 112 0.3× 20 0.1× 76 0.6× 17 0.2× 180 2.2× 116 500
Marco Pini Italy 20 821 2.5× 163 1.2× 205 1.5× 35 0.3× 43 0.5× 81 1.2k
P. Misra United States 10 223 0.7× 48 0.4× 80 0.6× 30 0.3× 58 0.7× 33 728
Qian Song China 19 667 2.0× 26 0.2× 144 1.1× 39 0.4× 215 2.7× 128 1.2k

Countries citing papers authored by Dario Spiller

Since Specialization
Citations

This map shows the geographic impact of Dario Spiller'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 Dario Spiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Spiller more than expected).

Fields of papers citing papers by Dario Spiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dario Spiller. 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 Dario Spiller. The network helps show where Dario Spiller may publish in the future.

Co-authorship network of co-authors of Dario Spiller

This figure shows the co-authorship network connecting the top 25 collaborators of Dario Spiller. A scholar is included among the top collaborators of Dario Spiller 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 Dario Spiller. Dario Spiller 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.
2.
Rízzí, María, et al.. (2025). Efficient FPGA-Accelerated Convolutional Neural Networks for Cloud Detection on CubeSats. ArXiv.org. 6(3). 187–197.
3.
Sebastianelli, Alessandro, et al.. (2025). Quanv4EO: Empowering Earth Observation by Means of Quanvolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 4 indexed citations
4.
Nowakowski, Artur, et al.. (2024). Transfer Learning in Earth Observation Data Analysis: A review. IEEE Geoscience and Remote Sensing Magazine. 13(1). 121–152. 3 indexed citations
5.
Spiller, Dario, et al.. (2024). Comparing Machine Learning-Based Remote Sensing for Fuel Type Mapping: Case Studies in Portugal, And Greece. IRIS Research product catalog (Sapienza University of Rome). 7212–7217.
6.
Sebastianelli, Alessandro, Dario Spiller, James Wheeler, et al.. (2024). A reproducible ensemble machine learning approach to forecast dengue outbreaks. Scientific Reports. 14(1). 3807–3807. 21 indexed citations
7.
Spiller, Dario, et al.. (2023). Transfer learning for real-time crater detection on asteroids using a Fully Convolutional Neural Network. Icarus. 394. 115434–115434. 18 indexed citations
8.
Spiller, Dario, et al.. (2023). Fuel Type Mapping Using a CNN-Based Remote Sensing Approach: A Case Study in Sardinia. Fire. 6(10). 395–395. 5 indexed citations
9.
Spiller, Dario, et al.. (2023). Cutting-Edge Trajectory Optimization through Quantum Annealing. Applied Sciences. 13(23). 12853–12853. 4 indexed citations
10.
Thangavel, Kathiravan, Dario Spiller, Roberto Sabatini, et al.. (2023). Autonomous Satellite Wildfire Detection Using Hyperspectral Imagery and Neural Networks: A Case Study on Australian Wildfire. Remote Sensing. 15(3). 720–720. 67 indexed citations
11.
Spiller, Dario, et al.. (2023). Wildfire Detection Using Convolutional Neural Networks and PRISMA Hyperspectral Imagery: A Spatial-Spectral Analysis. Remote Sensing. 15(19). 4855–4855. 4 indexed citations
12.
Spiller, Dario, et al.. (2023). Comparison of 1D and 3D Convolutional Neural Networks for Wildfire Detection Using PRISMA Hyperspectral Imagery and Domain Adaptation. IRIS Research product catalog (Sapienza University of Rome). 911–916. 1 indexed citations
13.
Thangavel, Kathiravan, Dario Spiller, Roberto Sabatini, et al.. (2023). Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors. Sensors. 23(6). 3344–3344. 17 indexed citations
14.
Amici, Stefania, Dario Spiller, Luigi Ansalone, & Lee A. Miller. (2022). Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal (ECOSTRESS & L8). Journal of Geophysical Research Biogeosciences. 127(12). 5 indexed citations
15.
Spiller, Dario, et al.. (2022). Analytical Attitude Guidance Planner for Multiple Ground Targets Acquisitions. Symmetry. 14(11). 2341–2341.
16.
Sebastianelli, Alessandro, et al.. (2021). Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. IRIS Research product catalog (Sapienza University of Rome). 25 indexed citations
17.
D’Ambrosio, Andrea, et al.. (2021). PSO-Based Soft Lunar Landing with Hazard Avoidance: Analysis and Experimentation. Aerospace. 8(7). 195–195. 7 indexed citations
18.
Spiller, Dario, Luigi Ansalone, Stefania Amici, Alessandro Piscini, & Pierre-Philippe Mathieu. (2021). ANALYSIS AND DETECTION OF WILDFIRES BY USING PRISMA HYPERSPECTRAL IMAGERY. SHILAP Revista de lepidopterología. XLIII-B3-2021. 215–222. 13 indexed citations
19.
Sebastianelli, Alessandro, et al.. (2021). On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 565–580. 86 indexed citations
20.
Schneider, Rochelle, Alessandro Sebastianelli, Dario Spiller, et al.. (2021). Climate-based ensemble machine learning model to forecast Dengue epidemics. International Conference on Machine Learning.

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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