Giuseppe Scarpa

6.3k citations
175 papers · 4.8k indexed · 3 hit papers · h-index 35
Topics
Remote-Sensing Image Classification (38 papers)Advanced Image Fusion Techniques (31 papers)Image and Signal Denoising Methods (21 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaACS Nano
Partner nations
GermanyItalyFrance

In The Last Decade

Giuseppe Scarpa

170 papers receiving 4.7k citations

Hit Papers

Pansharpening by Convolutional Neural Networks2016202620192022201620202022250500750

Peers

Giuseppe Scarpa
Comparison fields: 5 of 120
  • Media Technology 2.0k
  • Computer Vision and Pattern Recognition 1.8k
  • Electrical and Electronic Engineering 1.5k
  • Biomedical Engineering 1.1k
  • Polymers and Plastics 511
Replace Tiegen Liu with:
Tiegen Liu China
Christian Brosseau France
Eustace L. Dereniak United States
Nikolay L. Kazanskiy Russia
Gabriel Cristóbal Spain
Masahiro Okuda Japan
Graham M. Gibson United Kingdom
Weidong Yu China
Zhongyi Guo China
Ichirou Yamaguchi Japan
Giuseppe Scarpa relative to Tiegen Liu China Tiegen Liu's profile →
Citations per field
00.5×10.4×
Tiegen Liu · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 9
5 2
6
A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methodsbreakdown →
243
7 57
8 30
9
Computational complexity of PEPS zero testing
2
10 49
11 52
12 34
13 26
14 15
15 6
16 61
17 38
18 22
19 13
20 111

About Giuseppe Scarpa

Giuseppe Scarpa is a scholar working on Media Technology, Bioengineering and Computer Vision and Pattern Recognition, having authored 175 papers that have together received 4.8k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (38 papers), Advanced Image Fusion Techniques (31 papers) and Image and Signal Denoising Methods (21 papers). The work is most often cited by research in Media Technology (2.0k citations), Computer Vision and Pattern Recognition (1.8k citations) and Bioengineering (385 citations). Giuseppe Scarpa has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Luisa Verdoliva, Paolo Lugli, Davide Cozzolino, Giuseppe Masi, Giovanni Poggi, Alaa Abdellah, Raffaele Gaetano, Bernhard Fabel, Antonio Mazza and Gemine Vivone. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

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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