Daniele Cerra

1.4k total citations · 1 hit paper
85 papers, 974 citations indexed

About

Daniele Cerra is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Daniele Cerra has authored 85 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Media Technology, 24 papers in Computer Vision and Pattern Recognition and 24 papers in Artificial Intelligence. Recurrent topics in Daniele Cerra's work include Remote-Sensing Image Classification (40 papers), Advanced Image Fusion Techniques (23 papers) and Remote Sensing in Agriculture (16 papers). Daniele Cerra is often cited by papers focused on Remote-Sensing Image Classification (40 papers), Advanced Image Fusion Techniques (23 papers) and Remote Sensing in Agriculture (16 papers). Daniele Cerra collaborates with scholars based in Germany, France and United States. Daniele Cerra's co-authors include Peter Reinartz, Mihai Datcu, Rupert Müller, E. Carmona, Ronny Hänsch, Miguel Pato, Naoto Yokoya, Bertrand Le Saux, Yonghao Xu and Bo Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Daniele Cerra

80 papers receiving 937 citations

Hit Papers

Advanced Multi-Sensor Optical Remote Sensing for Urban La... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Cerra Germany 16 480 267 197 189 163 85 974
Emmett J. Ientilucci United States 14 543 1.1× 135 0.5× 168 0.9× 133 0.7× 150 0.9× 76 816
Farzaneh Dadrass Javan Iran 16 347 0.7× 261 1.0× 187 0.9× 65 0.3× 106 0.7× 58 914
Mahdi Khodadadzadeh Germany 17 825 1.7× 210 0.8× 149 0.8× 348 1.8× 424 2.6× 52 1.2k
Shiyong Cui Germany 18 566 1.2× 356 1.3× 136 0.7× 116 0.6× 230 1.4× 50 1.1k
Dimitrios Marmanis Germany 9 768 1.6× 649 2.4× 221 1.1× 156 0.8× 208 1.3× 11 1.4k
Kaimin Sun China 16 458 1.0× 209 0.8× 253 1.3× 61 0.3× 275 1.7× 64 813
Ming Hao China 19 747 1.6× 291 1.1× 375 1.9× 126 0.7× 513 3.1× 88 1.3k
Marc Lennon France 11 281 0.6× 109 0.4× 101 0.5× 58 0.3× 139 0.9× 24 566
Conrad M Albrecht Germany 11 207 0.4× 132 0.5× 87 0.4× 117 0.6× 69 0.4× 34 542
Jacqueline Le Moigne United States 21 625 1.3× 911 3.4× 168 0.9× 178 0.9× 224 1.4× 97 1.7k

Countries citing papers authored by Daniele Cerra

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Cerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Cerra

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Cerra. A scholar is included among the top collaborators of Daniele Cerra 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 Cerra. Daniele Cerra 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.
Imani, Maryam & Daniele Cerra. (2025). Triple Graph Convolutional Network for Hyperspectral Image Feature Fusion and Classification. Remote Sensing. 17(9). 1623–1623.
2.
Guarino, Riccardo, Daniele Cerra, Alessandro Chiarucci, et al.. (2024). Remote sensing reveals fire-driven enhancement of a C 4 invasive alien grass on a small Mediterranean volcanic island. Biogeosciences. 21(11). 2717–2730. 3 indexed citations
3.
Imani, Maryam & Daniele Cerra. (2024). Phase space deep neural network with Saliency-based attention for hyperspectral target detection. Advances in Space Research. 75(4). 3565–3588. 1 indexed citations
4.
Schreier, Franz, et al.. (2023). Methane retrievals from airborne HySpex observations in the shortwave infrared. Atmospheric measurement techniques. 16(18). 4195–4214. 2 indexed citations
5.
Cerra, Daniele, David Marshall, Uta Heiden, et al.. (2022). The Spaceborne Imaging Spectrometer Desis: Data Access, Outreach Activities, and Scientific Applications. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 5395–5398. 5 indexed citations
6.
Cerra, Daniele, et al.. (2022). SOLAR PANELS AREA ESTIMATION USING THE SPACEBORNE IMAGING SPECTROMETER DESIS: OUTPERFORMING MULTISPECTRAL SENSORS. SHILAP Revista de lepidopterología. V-1-2022. 9–14. 3 indexed citations
7.
Scheunders, Paul, et al.. (2022). Shadow-Aware Nonlinear Spectral Unmixing for Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 5514–5533. 9 indexed citations
8.
Carmona, E., Kevin Alonso, Martin Bachmann, et al.. (2021). Vicarious Calibration of the DESIS Imaging Spectrometer. elib (German Aerospace Center). 1611–1614. 2 indexed citations
9.
Cerra, Daniele, Miguel Pato, Kevin Alonso, et al.. (2021). DLR HySU—A Benchmark Dataset for Spectral Unmixing. Remote Sensing. 13(13). 2559–2559. 8 indexed citations
10.
Cerra, Daniele, Nina Merkle, Corentin Henry, et al.. (2020). Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 2. elib (German Aerospace Center). 63. 7066–7069. 2 indexed citations
11.
Cerra, Daniele, et al.. (2020). Improving the Classification in Shadowed Areas using Nonlinear Spectral Unmixing. elib (German Aerospace Center). 2408–2411. 1 indexed citations
12.
Cerra, Daniele, Simon Plank, Vasiliki Lysandrou, & Jiaojiao Tian. (2016). Cultural Heritage Sites in Danger—Towards Automatic Damage Detection from Space. Remote Sensing. 8(9). 781–781. 36 indexed citations
13.
Cerra, Daniele, Simon Plank, Vasiliki Lysandrou, & Jiaojiao Tian. (2016). Cultural Heritage Sites in Danger—Towards Automatic Damage Detection from Space. Preprints.org. 17 indexed citations
14.
Cerra, Daniele, et al.. (2016). LONG-TERM TRACKING OF A SPECIFIC VEHICLE USING AIRBORNE OPTICAL CAMERA SYSTEMS. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XLI-B2. 521–525. 1 indexed citations
15.
Cerra, Daniele, Rupert Müller, & Peter Reinartz. (2014). Unmixing-based denoising for destriping and inpainting of hyperspectral images. elib (German Aerospace Center). 4620–4623. 21 indexed citations
16.
Cerra, Daniele, Mihai Datcu, & Peter Reinartz. (2014). Authorship analysis based on data compression. Pattern Recognition Letters. 42. 79–84. 14 indexed citations
17.
Cerra, Daniele, Rupert Müller, Jakub Bieniarz, & Peter Reinartz. (2013). On the application of spectral unmixing for noise reduction. elib (German Aerospace Center). 1–4. 1 indexed citations
18.
Cerra, Daniele, Rupert Müller, & Peter Reinartz. (2012). A Classification Algorithm for Hyperspectral Images Based on Synergetics Theory. IEEE Transactions on Geoscience and Remote Sensing. 51(5). 2887–2898. 7 indexed citations
19.
Cerra, Daniele & Mihai Datcu. (2010). Image retrieval using compression-based techniques. elib (German Aerospace Center). 1–6. 8 indexed citations
20.
Cerra, Daniele, et al.. (2008). Complexity based Analysis of Earth Observation Imagery: an Assessment. elib (German Aerospace Center). 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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