R. Cossu

29 papers receiving 699 citations

Peers

R. Cossu
Comparison fields: 5 of 80
  • Media Technology 278
  • Small Animals 107
  • Atmospheric Science 173
  • Animal Science and Zoology 92
  • Ecology 154
Replace Dário Augusto Borges Oliveira with:
Dário Augusto Borges Oliveira Brazil
Anna Chlingaryan Australia
Abdullah Zawawi Talib Malaysia
Da Guo China
Christoph Römer Germany
Pablo G. Rodríguez Spain
Dariush Abbasi‐Moghadam Iran
Greg Timms Australia
Iftikhar Ali Ireland
Ali Seydi Keçeli Türkiye
R. Cossu relative to Dário Augusto Borges Oliveira Brazil Dário Augusto Borges Oliveira's profile →
Citations per field
00.5×3.8×
Dário Augusto Borges Oliveira · 1×
Citations per year

Countries citing papers authored by R. Cossu

Since Specialization
Citations

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

Fields of papers citing papers by R. Cossu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Cossu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Cossu Line = papers co-authored together R. Cossu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200299
2 200496
3 201696
4 201369
5 200354
6 200248
7
Building a Mosaic of Clouds
201147
8 201846
9 200932
10 200520
11 201017
12 202017
13 200313
14 201213
15 20098
16
Landslides Forecasting Analysis By Displacement Time Series Derived From Satellite INSAR Data: Preliminary Results
20127
17 20047
18 20096
19
Past and future of ESA Earth Observation Grid
20095
20 20025

About R. Cossu

R. Cossu is a scholar working on Media Technology, Ecology, Atmospheric Science, Computer Networks and Communications and Information Systems and Management, having authored 30 papers that have together received 724 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (15 papers), Remote Sensing in Agriculture (8 papers), Distributed and Parallel Computing Systems (7 papers), Remote Sensing and Land Use (6 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers), Scientific Computing and Data Management (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Media Technology (278 citations), Small Animals (107 citations), Atmospheric Science (173 citations), Animal Science and Zoology (92 citations) and Ecology (154 citations). R. Cossu has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Lorenzo Bruzzone, G. Vernazza, A. Cabiddu, G. Molle, V. Giovanetti, Dana Petcu, S.P.G. Rassu, Beniamino Di Martino, M. Decandia and Corrado Dimauro. Their work appears in journals such as Computers and Electronics in Agriculture, IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition Letters, Journal of Cloud Computing Advances Systems and Applications and Eos.

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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