Andrea Marinoni

2.0k citations
79 papers · 1.5k indexed · 1 hit paper · h-index 19
Topics
Remote-Sensing Image Classification (46 papers)Advanced Image Fusion Techniques (24 papers)Remote Sensing and Land Use (23 papers)
Journals
SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentGeophysical Research Letters
Partner nations
ItalyNorwayChina

In The Last Decade

Andrea Marinoni

73 papers receiving 1.5k citations

Hit Papers

DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing2019202620212023201950100150200

Peers

Andrea Marinoni
Comparison fields: 5 of 94
  • Media Technology 958
  • Atmospheric Science 645
  • Ecology 280
  • Computer Vision and Pattern Recognition 244
  • Artificial Intelligence 167
Replace Mengxi Liu with:
Mengxi Liu China
Anzhu Yu China
Erzhu Li China
John P. Kerekes United States
Hsuan Ren United States
Ruyi Feng China
Daifeng Peng China
Giovanna Trianni Italy
Ming Hao China
Andrea Marinoni relative to Mengxi Liu China Mengxi Liu's profile →
Citations per field
00.5×10×15×20×
Mengxi Liu · 1×
Citations per year

Countries citing papers authored by Andrea Marinoni

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Marinoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Marinoni

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Marinoni. A scholar is included among the top collaborators of Andrea Marinoni 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 Andrea Marinoni. Andrea Marinoni 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 3
2 1
3 0
4 0
5 5
6 1
7 4
8 79
9 2
10 7
11 3
12 17
13 61
14 13
15 4
16 10
17 1
18 1
19 16
20 4

About Andrea Marinoni

Andrea Marinoni is a scholar working on Media Technology, Computational Mathematics and Atmospheric Science, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (46 papers), Advanced Image Fusion Techniques (24 papers) and Remote Sensing and Land Use (23 papers). The work is most often cited by research in Media Technology (958 citations), Atmospheric Science (645 citations) and Computer Vision and Pattern Recognition (244 citations). Andrea Marinoni has collaborated with scholars based in Italy, Norway and China. Frequent co-authors include Paolo Gamba, Antonio Plaza, Qian Shi, Jun Li, Yuanchao Su, Liangpei Zhang, Mengxi Liu, Lianru Gao, Somdatta Chakravortty and Javier Plaza. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Geophysical Research Letters.

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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