J. Rubio

556 total citations
12 papers, 422 citations indexed

About

J. Rubio is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, J. Rubio has authored 12 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 5 papers in Ecology and 5 papers in Global and Planetary Change. Recurrent topics in J. Rubio's work include Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (5 papers) and Atmospheric aerosols and clouds (4 papers). J. Rubio is often cited by papers focused on Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (5 papers) and Atmospheric aerosols and clouds (4 papers). J. Rubio collaborates with scholars based in France, United States and Netherlands. J. Rubio's co-authors include Jean‐Philippe Gastellu‐Etchegorry, Nicolas Lauret, Eloi Grau, Tiangang Yin, Douglas C. Morton, Bruce D. Cook, Jean‐Baptiste Féret, Tristan Grégoire, Emmanuel Martin and Sylvie Durrieu and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and Biogeosciences.

In The Last Decade

J. Rubio

12 papers receiving 415 citations

Peers

J. Rubio

EE

ECOLO

GPC

NLC

PS

Emmanuel Martin France

Elias Fernando Berra Brazil

Jordan Guilleux France

Eloi Grau France

Jie Zou China

Mir Mustafizur Rahman Canada

Luxia Liu China

Doo-Ahn Kwak South Korea

Marcel Urban Germany

Eric Chavanon France

Emmanuel Martin France

J. Rubio

296 ×1.0

EE

336 ×1.2

ECOLO

222 ×1.2

GPC

40 ×0.6

NLC

81 ×1.4

PS

Citations per year, relative to J. Rubio J. Rubio (= 1×) peers Emmanuel Martin

Countries citing papers authored by J. Rubio

Since Specialization

Citations

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

Fields of papers citing papers by J. Rubio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Rubio

This figure shows the co-authorship network connecting the top 25 collaborators of J. Rubio. A scholar is included among the top collaborators of J. Rubio 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 J. Rubio. J. Rubio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Morton, Douglas C., J. Rubio, Bruce D. Cook, et al.. (2016). Amazon forest structure generates diurnal and seasonal variability in light utilization. Biogeosciences. 13(7). 2195–2206. 31 indexed citations

2.

Gastellu‐Etchegorry, Jean‐Philippe, Tiangang Yin, Nicolas Lauret, et al.. (2016). Simulation of satellite, airborne and terrestrial LiDAR with DART (I): Waveform simulation with quasi-Monte Carlo ray tracing. Remote Sensing of Environment. 184. 418–435. 71 indexed citations

3.

Gastellu‐Etchegorry, Jean‐Philippe, Tiangang Yin, Nicolas Lauret, et al.. (2015). Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes. Remote Sensing. 7(2). 1667–1701. 252 indexed citations

4.

Gastellu‐Etchegorry, Jean‐Philippe, Tiangang Yin, Eloi Grau, Nicolas Lauret, & J. Rubio. (2013). Lidar radiative transfer modeling in the Atmosphere. SPIRE - Sciences Po Institutional REpository. 4554–4557. 5 indexed citations

5.

Yin, Tiangang, Jean‐Philippe Gastellu‐Etchegorry, Eloi Grau, Nicolas Lauret, & J. Rubio. (2013). Simulating satellite waveform Lidar with DART model. SPIRE - Sciences Po Institutional REpository. 5. 3029–3032. 12 indexed citations

6.

Yin, Tiangang, Jean‐Philippe Gastellu‐Etchegorry, Nicolas Lauret, Eloi Grau, & J. Rubio. (2013). A new approach of direction discretization and oversampling for 3D anisotropic radiative transfer modeling. Remote Sensing of Environment. 135. 213–223. 37 indexed citations

7.

Yin, Tiangang, J. Rubio, Jean‐Philippe Gastellu‐Etchegorry, Eloi Grau, & Nicolas Lauret. (2012). Direction discretization for radiative transfer modeling: An introduction to the new direction model of dart. SPIRE - Sciences Po Institutional REpository. 25. 5069–5072. 1 indexed citations

8.

Cook, Bruce D., et al.. (2010). Effect of Ground Surface Reflectance on LiDAR Waveforms, Height Metrics and Biomass Estimation. AGU Fall Meeting Abstracts. 2010. 1 indexed citations

9.

Rosette, J., et al.. (2010). Modelling Sensor and Target effects on LiDAR Waveforms. AGUFM. 2010. 1 indexed citations

10.

Rubio, J., et al.. (2009). Lidar modeling with the 3D DART model. AGU Fall Meeting Abstracts. 2009. 1 indexed citations

11.

Grau, Eloi, Jean‐Philippe Gastellu‐Etchegorry, Ferran Gascon, J. Rubio, & Aurore Brut. (2009). Earth-Atmosphere radiative transfer in DART model. SPIRE - Sciences Po Institutional REpository. 102. 1–4. 2 indexed citations

12.

Carpena, Pedro, et al.. (2008). Performance of Photovoltaic Modules With White Reflective Back Sheets. EU PVSEC. 346–349. 8 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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