Giuseppe Scarpa

6.3k total citations · 3 hit papers
175 papers, 4.8k citations indexed

About

Giuseppe Scarpa is a scholar working on Electrical and Electronic Engineering, Media Technology and Biomedical Engineering. According to data from OpenAlex, Giuseppe Scarpa has authored 175 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Electrical and Electronic Engineering, 54 papers in Media Technology and 53 papers in Biomedical Engineering. Recurrent topics in Giuseppe Scarpa's work include Remote-Sensing Image Classification (38 papers), Advanced Image Fusion Techniques (31 papers) and Image and Signal Denoising Methods (21 papers). Giuseppe Scarpa is often cited by papers focused on Remote-Sensing Image Classification (38 papers), Advanced Image Fusion Techniques (31 papers) and Image and Signal Denoising Methods (21 papers). Giuseppe Scarpa collaborates with scholars based in Germany, Italy and France. Giuseppe Scarpa's co-authors include Luisa Verdoliva, Paolo Lugli, Davide Cozzolino, Giuseppe Masi, Giovanni Poggi, Alaa Abdellah, Raffaele Gaetano, Bernhard Fabel, Antonio Mazza and Gemine Vivone and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Giuseppe Scarpa

170 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pansharpening by Convolutional Neural Networks

2016 846 citations Giuseppe Masi, Luisa Verdoliva et al. Remote Sensing profile →
A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods

2020 243 citations Gemine Vivone, Mauro Dalla Mura et al. IEEE Geoscience and Remote Sensing Magazine profile →
Machine Learning in Pansharpening: A benchmark, from shallow to deep networks

2022 144 citations Gemine Vivone, Giuseppe Scarpa et al. IEEE Geoscience and Remote Sensing Magazine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giuseppe Scarpa Germany	35	2.0k	1.8k	1.5k	1.1k	511	175	4.8k
Tiegen Liu China	44	562 0.3×	1.0k 0.6×	5.2k 3.4×	2.3k 2.0×	49 0.1×	523	7.9k
Eustace L. Dereniak United States	29	329 0.2×	410 0.2×	788 0.5×	1.9k 1.6×	324 0.6×	182	3.5k
Christian Brosseau France	38	308 0.2×	965 0.5×	980 0.6×	2.6k 2.3×	848 1.7×	199	5.8k
Gabriel Cristóbal Spain	32	977 0.5×	1.2k 0.7×	1.0k 0.7×	1.7k 1.5×	51 0.1×	165	4.5k
Nikolay L. Kazanskiy Russia	45	470 0.2×	298 0.2×	3.6k 2.3×	3.9k 3.5×	60 0.1×	331	7.2k
Masahiro Okuda Japan	30	236 0.1×	599 0.3×	1.7k 1.1×	372 0.3×	186 0.4×	343	3.7k
Zhongyi Guo China	42	219 0.1×	289 0.2×	2.3k 1.5×	2.7k 2.4×	209 0.4×	287	7.0k
Sergio De Nicola Italy	33	1.7k 0.8×	1.5k 0.9×	802 0.5×	943 0.8×	88 0.2×	243	4.4k
Eusebio Bernabéu Spain	22	172 0.1×	511 0.3×	741 0.5×	905 0.8×	34 0.1×	208	2.4k
Rafael García Spain	35	275 0.1×	1.2k 0.7×	252 0.2×	266 0.2×	116 0.2×	181	4.0k

Countries citing papers authored by Giuseppe Scarpa

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Scarpa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Scarpa

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Scarpa. A scholar is included among the top collaborators of Giuseppe Scarpa 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 Giuseppe Scarpa. Giuseppe Scarpa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ienco, Dino, et al.. (2025). SAHARA: Heterogeneous Semi-Supervised Transfer Learning With Adversarial Adaptation and Dynamic Pseudo-Labeling. IEEE Geoscience and Remote Sensing Letters. 23. 1–5.

Vivone, Gemine, et al.. (2024). Hyperspectral Pansharpening: Review and Future Perspectives. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1231–1234. 3 indexed citations

Poggi, Giovanni, et al.. (2024). Hybrid GSA-CNN Method for Hyperspectral Pansharpening. CINECA IRIS Institutial research information system (Parthenope University of Naples). 901–904. 1 indexed citations

Scarpa, Giuseppe, et al.. (2023). Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework. Remote Sensing. 15(2). 319–319. 9 indexed citations

Interdonato, Roberto, Raffaele Gaetano, Danny Lo Seen, Mathieu Roche, & Giuseppe Scarpa. (2020). Extracting multilayer networks from Sentinel-2 satellite image time series. CINECA IRIS Institutial research information system (Parthenope University of Naples). 2 indexed citations

Vivone, Gemine, Mauro Dalla Mura, Andrea Garzelli, et al.. (2020). A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods. IEEE Geoscience and Remote Sensing Magazine. 9(1). 53–81. 243 indexed citations breakdown →

Sica, Francescopaolo, et al.. (2020). A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 57 indexed citations

Mazza, Antonio, Francescopaolo Sica, Paola Rizzoli, & Giuseppe Scarpa. (2019). TanDEM-X Forest Mapping Using Convolutional Neural Networks. Remote Sensing. 11(24). 2980–2980. 30 indexed citations

Scarpa, Giuseppe, Yimin Ge, Juan José García‐Ripoll, et al.. (2018). Computational complexity of PEPS zero testing. arXiv (Cornell University). 2 indexed citations

10.

Angelino, Cesario Vincenzo, Luca Cicala, Massimiliano Lega, et al.. (2015). Detection of environmental hazards through the feature-based fusion of optical and SAR data: a case study in southern Italy. International Journal of Remote Sensing. 36(13). 3345–3367. 49 indexed citations

11.

Popescu, Bogdan, et al.. (2014). Characterization and simulation of electrolyte-gated organic field-effect transistors. Faraday Discussions. 174. 399–411. 52 indexed citations

12.

Jaworska, Ewa, et al.. (2014). Selective ion-sensing with membrane-functionalized electrolyte-gated carbon nanotube field-effect transistors. The Analyst. 139(19). 4947–4947. 34 indexed citations

13.

Scarpa, Giuseppe, et al.. (2013). Random CNT network and regioregular poly(3-hexylthiophen) FETs for pH sensing applications: A comparison. Biochimica et Biophysica Acta (BBA) - General Subjects. 1830(9). 4353–4358. 26 indexed citations

14.

Weise, Anja, et al.. (2013). Back-gated spray-deposited carbon nanotube thin film transistors operated in electrolytic solutions: an assessment towards future biosensing applications. Journal of Materials Chemistry B. 1(31). 3797–3797. 15 indexed citations

15.

Russer, Johannes A., Giuseppe Scarpa, Paolo Lugli, & P. Russer. (2011). On the modeling of radiated EMI on the basis of near-field correlation measurements. View. 9–12. 6 indexed citations

16.

Frischeisen, Jörg, Quan Niu, Alaa Abdellah, et al.. (2010). Light extraction from surface plasmons and waveguide modes in an organic light-emitting layer by nanoimprinted gratings. Optics Express. 19(S1). A7–A7. 61 indexed citations

17.

Scarpa, Giuseppe, Raffaele Gaetano, Michal Haindl, & Josiane Zerubia. (2009). Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation. IEEE Transactions on Image Processing. 18(8). 1830–1843. 38 indexed citations

18.

Strobel, Sebastian, Stefan Harrer, Giuseppe Scarpa, et al.. (2009). Planar Nanogap Electrodes by Direct Nanotransfer Printing. Small. 5(5). 579–582. 22 indexed citations

19.

Weber, W., Lutz Geelhaar, L. Lamagna, et al.. (2008). Tuning the Polarity of Si-Nanowire Transistors Without the Use of Doping. 580–581. 13 indexed citations

20.

D'Elia, C., et al.. (2003). A tree-structured Markov random field model for bayesian image segmentation. IEEE Transactions on Image Processing. 12(10). 1259–1273. 111 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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