Javier A. Concha

582 total citations
20 papers, 253 citations indexed

About

Javier A. Concha is a scholar working on Oceanography, Media Technology and Ecology. According to data from OpenAlex, Javier A. Concha has authored 20 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oceanography, 6 papers in Media Technology and 5 papers in Ecology. Recurrent topics in Javier A. Concha's work include Marine and coastal ecosystems (14 papers), Remote-Sensing Image Classification (6 papers) and Water Quality Monitoring Technologies (4 papers). Javier A. Concha is often cited by papers focused on Marine and coastal ecosystems (14 papers), Remote-Sensing Image Classification (6 papers) and Water Quality Monitoring Technologies (4 papers). Javier A. Concha collaborates with scholars based in United States, Italy and Chile. Javier A. Concha's co-authors include John R. Schott, Vittorio Brando, Wonkook Kim, Antonio Mannino, Mariano Bresciani, Claudia Giardino, Bryan A. Franz, Federica Braga, Gian Marco Scarpa and Monica Pepe and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Javier A. Concha

16 papers receiving 250 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 A. Concha United States 8 160 74 72 60 58 20 253
Viktor Vabson Estonia 9 197 1.2× 79 1.1× 60 0.8× 70 1.2× 38 0.7× 18 281
Riho Vendt Estonia 8 163 1.0× 71 1.0× 53 0.7× 56 0.9× 34 0.6× 19 252
Shuguo Chen China 12 198 1.2× 81 1.1× 69 1.0× 42 0.7× 36 0.6× 37 288
Yanqun Pan China 7 96 0.6× 38 0.5× 47 0.7× 32 0.5× 35 0.6× 10 168
Alex Gilerson United States 9 360 2.3× 107 1.4× 110 1.5× 128 2.1× 31 0.5× 30 404
Yongzhen Fan United States 7 203 1.3× 124 1.7× 56 0.8× 66 1.1× 33 0.6× 19 313
Tamito Kajiyama Portugal 11 256 1.6× 106 1.4× 51 0.7× 108 1.8× 24 0.4× 29 300
S. Bruzzi Netherlands 3 134 0.8× 139 1.9× 108 1.5× 44 0.7× 49 0.8× 3 323
Farzane Mohseni Iran 12 87 0.5× 76 1.0× 68 0.9× 20 0.3× 20 0.3× 15 303

Countries citing papers authored by Javier A. Concha

Since Specialization
Citations

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

Fields of papers citing papers by Javier A. Concha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier A. Concha

This figure shows the co-authorship network connecting the top 25 collaborators of Javier A. Concha. A scholar is included among the top collaborators of Javier A. Concha 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 A. Concha. Javier A. Concha 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.
Bellacicco, Marco, Jaime Pitarch, Emanuele Organelli, et al.. (2024). Near-Surface Particulate Backscattering Observations with Bio-Optical Lagrangian Drifters. Journal of Atmospheric and Oceanic Technology. 41(11). 1107–1119.
2.
Vilas, Luis González, Vittorio Brando, Javier A. Concha, et al.. (2024). Validation of satellite water products based on HYPERNETS in situ data using a Match-up Database (MDB) file structure. SHILAP Revista de lepidopterología. 5. 4 indexed citations
4.
Braga, Federica, Daniele Ciani, Simone Colella, et al.. (2022). COVID-19 lockdown effects on a coastal marine environment: Disentangling perception versus reality. The Science of The Total Environment. 817. 153002–153002. 19 indexed citations
5.
Braga, Federica, Quinten Vanhellemont, Mariano Bresciani, et al.. (2022). Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry. ISPRS Journal of Photogrammetry and Remote Sensing. 192. 99–114. 28 indexed citations
6.
Salisbury, J., Bror Jönsson, Antonio Mannino, et al.. (2021). Assessing Net Growth of Phytoplankton Biomass on Hourly to Annual Time Scales Using the Geostationary Ocean Color Instrument. Geophysical Research Letters. 48(23). 8 indexed citations
7.
Concha, Javier A., et al.. (2021). Assessing the influence of different validation protocols on Ocean Colour match-up analyses. Remote Sensing of Environment. 259. 112415–112415. 36 indexed citations
8.
Rio, Marie‐Hélène, Laura Lorenzoni, Hiroshi Murakami, et al.. (2021). Trilateral Water Quality Monitoring from Space during Covid-19. 1563–1566.
9.
Giardino, Claudia, Mariano Bresciani, Federica Braga, et al.. (2020). First Evaluation of PRISMA Level 1 Data for Water Applications. Sensors. 20(16). 4553–4553. 49 indexed citations
10.
Concha, Javier A., Antonio Mannino, Bryan A. Franz, Sean W. Bailey, & Wonkook Kim. (2019). Vicarious calibration of GOCI for the SeaDAS ocean color retrieval. International Journal of Remote Sensing. 40(10). 3984–4001. 10 indexed citations
11.
Carrasco, Miguel, et al.. (2019). Brush-Holder Integrated Load Sensor Prototype for SAG Grinding Mill Motor. Electronics. 8(11). 1227–1227. 2 indexed citations
12.
Concha, Javier A., Antonio Mannino, Bryan A. Franz, & Wonkook Kim. (2019). Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes. Remote Sensing. 11(3). 295–295. 25 indexed citations
13.
Carrasco, Miguel, et al.. (2018). Inline Force Sensor Development for Electrical Motors for Mining Operations in Chile: A New Inspection Protocol. IEEE Latin America Transactions. 16(1). 66–74. 3 indexed citations
14.
Concha, Javier A. & John R. Schott. (2016). Retrieval of color producing agents in Case 2 waters using Landsat 8. Remote Sensing of Environment. 185. 95–107. 54 indexed citations
15.
Concha, Javier A.. (2015). The Use of Landsat 8 for Monitoring of Fresh and Coastal Waters. RIT Scholar Works (Rochester Institute of Technology).
16.
Concha, Javier A. & John R. Schott. (2015). Atmospheric correction for Landsat 8 over case 2 waters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9607. 96070R–96070R. 1 indexed citations
17.
Concha, Javier A. & John R. Schott. (2014). In-water component retrieval over Case 2 water using Landsat 8: Initial results. 4458–4461. 7 indexed citations
18.
Concha, Javier A. & John R. Schott. (2014). A model-based ELM for atmospheric correction over Case 2 water with Landsat 8. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9111. 911112–911112. 4 indexed citations
19.
Concha, Javier A. & Aaron Gerace. (2012). Atmospheric compensation for WorldView-2 satellite and in-water component retrieval. 44. 2833–2836. 2 indexed citations
20.
Concha, Javier A. & Aaron Gerace. (2012). Atmospheric compensation for WorldView-2 satellite and in-water component retrieval. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8390. 83900W–83900W. 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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