Javier A. Concha

599 citations
21 papers · 271 · h-index 8

Impact in

Papers in

    • Marine and coastal ecosystems 14
    • Oceanographic and Atmospheric Processes 3
    • Remote-Sensing Image Classification 6

Javier A. Concha

16 papers receiving 269 citations

Peers

Javier A. Concha
Comparison fields: 5 of 42
  • Oceanography 169
  • Industrial and Manufacturing Engineering 60
  • Media Technology 60
  • Water Science and Technology 57
  • Global and Planetary Change 80
Replace Viktor Vabson with:
Viktor Vabson Estonia
Shuguo Chen China
Riho Vendt Estonia
Clémence Goyens Belgium
Yanqun Pan China
Yongzhen Fan United States
B. E. Fabbri United States
Alex Gilerson United States
S. Bruzzi Netherlands
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Javier A. Concha, 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 Javier A. Concha Line = papers co-authored together Javier A. Concha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 202052
3 202140
4 202232
5 201925
6 202221
7 201910
8 20219
9 20147
10 20245
11 20145
12 20123
13 20183
14 20192
15 20121
16 20151
17 20230
18
The Use of Landsat 8 for Monitoring of Fresh and Coastal Waters
20150
19 20240
20 20220

About Javier A. Concha

Javier A. Concha is a scholar working on Oceanography, Media Technology, Ecology, Water Science and Technology and Global and Planetary Change, having authored 21 papers that have together received 271 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (14 papers), Remote-Sensing Image Classification (6 papers), Water Quality Monitoring and Analysis (4 papers), Water Quality Monitoring Technologies (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Oceanographic and Atmospheric Processes (3 papers), Coral and Marine Ecosystems Studies (3 papers) and Mineral Processing and Grinding (2 papers). The work is most often cited by research in Oceanography (169 citations), Industrial and Manufacturing Engineering (60 citations), Media Technology (60 citations), Water Science and Technology (57 citations) and Global and Planetary Change (80 citations). Javier A. Concha has collaborated with scholars based in United States, Italy and Chile. Frequent co-authors include John R. Schott, Vittorio Brando, Wonkook Kim, Antonio Mannino, Claudia Giardino, Federica Braga, Mariano Bresciani, Bryan A. Franz, Gian Marco Scarpa and Quinten Vanhellemont. Their work appears in journals such as Remote Sensing of Environment, International Journal of Remote Sensing, Journal of Atmospheric and Oceanic Technology, ISPRS Journal of Photogrammetry and Remote Sensing and Sensors.

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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