R. Cossu

1.1k total citations
30 papers, 720 citations indexed

About

R. Cossu is a scholar working on Media Technology, Ecology and Atmospheric Science. According to data from OpenAlex, R. Cossu has authored 30 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Media Technology, 8 papers in Ecology and 8 papers in Atmospheric Science. Recurrent topics in R. Cossu's work include Remote-Sensing Image Classification (15 papers), Remote Sensing in Agriculture (8 papers) and Distributed and Parallel Computing Systems (7 papers). R. Cossu is often cited by papers focused on Remote-Sensing Image Classification (15 papers), Remote Sensing in Agriculture (8 papers) and Distributed and Parallel Computing Systems (7 papers). R. Cossu collaborates with scholars based in Italy, France and United States. R. Cossu's co-authors include Lorenzo Bruzzone, G. Vernazza, Corrado Dimauro, G. Molle, Marco Acciaro, S.P.G. Rassu, Dana Petcu, Beniamino Di Martino, A. Cabiddu and M. Decandia and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

R. Cossu

29 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Cossu Italy 14 283 173 159 113 106 30 720
Dário Augusto Borges Oliveira Brazil 13 180 0.6× 44 0.3× 152 1.0× 38 0.3× 45 0.4× 57 820
Anna Chlingaryan Australia 10 176 0.6× 127 0.7× 481 3.0× 19 0.2× 12 0.1× 22 1.2k
Huasheng Huang China 16 54 0.2× 30 0.2× 323 2.0× 9 0.1× 138 1.3× 29 907
Dariush Abbasi‐Moghadam Iran 16 337 1.2× 255 1.5× 236 1.5× 18 0.2× 4 0.0× 55 1.1k
Abdullah Zawawi Talib Malaysia 14 277 1.0× 34 0.2× 22 0.1× 29 0.3× 31 0.3× 68 1.1k
Da Guo China 18 9 0.0× 92 0.5× 118 0.7× 50 0.4× 18 0.2× 62 1.0k
Iftikhar Ali Ireland 10 31 0.1× 164 0.9× 527 3.3× 93 0.8× 4 0.0× 10 1.1k
Pablo G. Rodríguez Spain 16 50 0.2× 35 0.2× 40 0.3× 27 0.2× 5 0.0× 42 599
L. Agilandeeswari India 20 463 1.6× 312 1.8× 288 1.8× 33 0.3× 2 0.0× 61 1.2k
Yan‐Fu Kuo Taiwan 16 23 0.1× 15 0.1× 83 0.5× 25 0.2× 45 0.4× 58 719

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-authorship network of co-authors of R. Cossu

This figure shows the co-authorship network connecting the top 25 collaborators of R. Cossu. A scholar is included among the top collaborators of R. Cossu 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 R. Cossu. R. Cossu 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.
2.
Cossu, R., G. Molle, Marco Acciaro, et al.. (2020). Prediction of bite number and herbage intake by an accelerometer-based system in dairy sheep exposed to different forages during short-term grazing tests. Computers and Electronics in Agriculture. 175. 105582–105582. 17 indexed citations
3.
Decandia, M., G. Molle, Marco Acciaro, et al.. (2018). The effect of different time epoch settings on the classification of sheep behaviour using tri-axial accelerometry. Computers and Electronics in Agriculture. 154. 112–119. 44 indexed citations
4.
Nativi, Stefano, et al.. (2014). Towards a multidisciplinary e-infrastructure for the Mediterranean Supersite Volcanoes (MED-SUV) project. EGUGA. 6668. 1 indexed citations
5.
Mazzanti, Paolo, et al.. (2012). Landslides Forecasting Analysis By Displacement Time Series Derived From Satellite INSAR Data: Preliminary Results. ESASP. 697. 72. 7 indexed citations
6.
Martino, Beniamino Di, et al.. (2011). Building a Mosaic of Clouds. Lecture notes in computer science. 571–578. 47 indexed citations
7.
Cossu, R., M. Petitdidier, L. Fusco, et al.. (2010). A roadmap for a dedicated Earth Science Grid platform. Earth Science Informatics. 3(3). 135–148. 17 indexed citations
8.
Fusco, L. & R. Cossu. (2009). Past and future of ESA Earth Observation Grid. Memorie della Societa Astronomica Italiana. 80. 461. 5 indexed citations
9.
Cossu, R., et al.. (2009). Near real-time SAR-based processing to support flood monitoring. Journal of Real-Time Image Processing. 4(3). 205–218. 32 indexed citations
10.
Cossu, R., et al.. (2005). Texture discrimination using multimodal wavelet packet subbands. Durham Research Online (Durham University). 3. 1493–1496. 1 indexed citations
11.
Cossu, R., Ian H. Jermyn, & Josiane Zerubia. (2004). Texture analysis using probabilistic models of the unimodal and multimodal statistics of adaptive wavelet packet coefficients. Durham Research Online (Durham University). 3. iii–597. 7 indexed citations
12.
Bruzzone, Lorenzo, R. Cossu, & G. Vernazza. (2004). Detection of land-cover transitions by combining multidate classifiers. Pattern Recognition Letters. 25(13). 1491–1500. 96 indexed citations
13.
Cossu, R., et al.. (2004). Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
14.
Bruzzone, Lorenzo & R. Cossu. (2003). An adaptive approach to reducing registration noise effects in unsupervised change detection. IEEE Transactions on Geoscience and Remote Sensing. 41(11). 2455–2465. 54 indexed citations
15.
Bruzzone, Lorenzo, et al.. (2003). A system for monitoring NO 2 emissions from biomass burning by using GOME and ATSR-2 data. International Journal of Remote Sensing. 24(8). 1709–1721. 13 indexed citations
16.
Bruzzone, Lorenzo & R. Cossu. (2003). An unsupervised change detection technique robust to registration noise. 1. 306–308. 3 indexed citations
17.
Bruzzone, Lorenzo, R. Cossu, & G. Vernazza. (2002). Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images. Information Fusion. 3(4). 289–297. 48 indexed citations
18.
Bruzzone, Lorenzo & R. Cossu. (2002). A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps. IEEE Transactions on Geoscience and Remote Sensing. 40(9). 1984–1996. 99 indexed citations
19.
Bruzzone, Lorenzo, R. Cossu, & Mario A. Gomarasca. (2002). Adaptive estimation of the registration-noise distribution for accurate unsupervised change detection. 6. 2584–2586. 3 indexed citations
20.
Bruzzone, Lorenzo, R. Cossu, & Diego Fernández‐Prieto. (2001). <title>Nonparametric approach to automatic change detection</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4170. 133–140. 1 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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