Javier Marcello

1.7k total citations
85 papers, 1.2k citations indexed

About

Javier Marcello is a scholar working on Media Technology, Ecology and Oceanography. According to data from OpenAlex, Javier Marcello has authored 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Media Technology, 40 papers in Ecology and 23 papers in Oceanography. Recurrent topics in Javier Marcello's work include Remote-Sensing Image Classification (46 papers), Remote Sensing in Agriculture (33 papers) and Advanced Image Fusion Techniques (28 papers). Javier Marcello is often cited by papers focused on Remote-Sensing Image Classification (46 papers), Remote Sensing in Agriculture (33 papers) and Advanced Image Fusion Techniques (28 papers). Javier Marcello collaborates with scholars based in Spain, France and Italy. Javier Marcello's co-authors include Francisco Eugenio, J. Martín, Ferran Marqués, Verónica Vilaplana, Consuelo Gonzalo‐Martín, Alonso Hernández‐Guerra, Xavier Bosch-Lluis, Adriano Camps, Nereida Rodriguez-Alvarez and I. Ramos‐Perez and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

Javier Marcello

81 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Marcello Spain 18 445 441 439 338 229 85 1.2k
Francisco Eugenio Spain 16 353 0.8× 254 0.6× 426 1.0× 309 0.9× 186 0.8× 57 969
Arthur C. R. Gleason United States 17 706 1.6× 151 0.3× 494 1.1× 197 0.6× 466 2.0× 40 1.3k
Robert A. Leathers United States 15 521 1.2× 284 0.6× 605 1.4× 249 0.7× 232 1.0× 29 1.2k
Sindy Sterckx Belgium 19 459 1.0× 253 0.6× 441 1.0× 258 0.8× 385 1.7× 56 1.2k
Palanisamy Shanmugam India 25 564 1.3× 202 0.5× 1.6k 3.5× 214 0.6× 492 2.1× 153 2.3k
Janet Anstee Australia 12 725 1.6× 266 0.6× 775 1.8× 295 0.9× 270 1.2× 31 1.3k
Peter Gege Germany 17 326 0.7× 208 0.5× 593 1.4× 229 0.7× 251 1.1× 80 1.1k
Hongchang He China 21 523 1.2× 142 0.3× 170 0.4× 287 0.8× 413 1.8× 67 1.2k
Rosa Maria Cavalli Italy 17 233 0.5× 388 0.9× 112 0.3× 181 0.5× 158 0.7× 51 893
Gerald W. Felde United States 16 674 1.5× 536 1.2× 112 0.3× 486 1.4× 572 2.5× 20 1.6k

Countries citing papers authored by Javier Marcello

Since Specialization
Citations

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

Fields of papers citing papers by Javier Marcello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Marcello

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Marcello. A scholar is included among the top collaborators of Javier Marcello 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 Javier Marcello. Javier Marcello 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.
Marcello, Javier, et al.. (2024). Performance of Individual Tree Segmentation Algorithms in Forest Ecosystems Using UAV LiDAR Data. Drones. 8(12). 772–772. 3 indexed citations
2.
Gamba, Paolo, et al.. (2024). Automatic Methodology for Forest Fire Mapping with SuperDove Imagery. Sensors. 24(16). 5084–5084. 2 indexed citations
3.
Marcello, Javier, et al.. (2023). Assessment of Forest Degradation Using Multitemporal and Multisensor Very High Resolution Satellite Imagery. Acceda (Universidad de Las Palmas de Gran Canaria). 3 indexed citations
4.
Marcello, Javier, et al.. (2020). Wind variability in the Canary Current during the last 70 years. Ocean science. 16(4). 951–963. 7 indexed citations
5.
Marcello, Javier, et al.. (2020). Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote Sensing. 12(15). 2424–2424. 78 indexed citations
6.
Drumetz, Lucas, et al.. (2019). Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4775–4788. 30 indexed citations
7.
Marcello, Javier, et al.. (2019). Multisensor fusion for the accurate classification of vegetation in complex ecosystems. Acceda (Universidad de Las Palmas de Gran Canaria). 81–86. 1 indexed citations
8.
Eugenio, Francisco, et al.. (2019). Multiplatform Earth Observation Systems for the Monitoring and Conservation of Vulnerable Natural Ecosystems. Acceda (Universidad de Las Palmas de Gran Canaria). 17. 8230–8233. 2 indexed citations
9.
Eugenio, Francisco & Javier Marcello. (2019). Very High Resolution (VHR) Satellite Imagery: Processing and Applications. Acceda (Universidad de Las Palmas de Gran Canaria). 1 indexed citations
10.
Gonzalo‐Martín, Consuelo, et al.. (2017). Fusion of High Resolution Multispectral Imagery in Vulnerable Coastal and Land Ecosystems. Sensors. 17(2). 228–228. 16 indexed citations
11.
Marcello, Javier, et al.. (2017). Assessment of the spectral quality of fused images using the CIEDE2000 distance. Acceda (Universidad de Las Palmas de Gran Canaria). 18. 1–4. 1 indexed citations
12.
13.
Eugenio, Francisco, Javier Marcello, & J. Martín. (2015). High-Resolution Maps of Bathymetry and Benthic Habitats in Shallow-Water Environments Using Multispectral Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 53(7). 3539–3549. 216 indexed citations
14.
Eugenio, Francisco, J. Martín, Javier Marcello, & E. Fraile‐Nuez. (2014). Environmental monitoring of El Hierro Island submarine volcano, by combining low and high resolution satellite imagery. International Journal of Applied Earth Observation and Geoinformation. 29. 53–66. 29 indexed citations
15.
Eugenio, Francisco, et al.. (2013). Worldview-2 high resolution remote sensing image processing for the monitoring of coastal areas. European Signal Processing Conference. 1–5. 5 indexed citations
16.
Eugenio, Francisco & Javier Marcello. (2009). Featured-Based Algorithm for the Automated Registration of Multisensorial / Multitemporal Oceanographic Satellite Imagery. Algorithms. 2(3). 1087–1104. 4 indexed citations
17.
Marcello, Javier, Francisco Eugenio, & Ferran Marqués. (2007). Performance of region-based matching techniques to compute the ocean surface motion. Acceda (Universidad de Las Palmas de Gran Canaria). 937–940. 1 indexed citations
18.
Marcello, Javier, Francisco Eugenio, & Ferran Marqués. (2007). Methodology for the estimation of ocean surface currents using region matching and differential algorithms. Acceda (Universidad de Las Palmas de Gran Canaria). 5573. 882–885. 2 indexed citations
19.
Marcello, Javier. (2004). Precise upwelling and filaments automatic extraction from multisensorial imagery. 3. 2018–2021. 4 indexed citations
20.

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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