J. Rubio

21 total papers · 591 total citations
13 papers, 447 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 13 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 9 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, Eloi Grau, Tiangang Yin, Nicolas Lauret, Bruce D. Cook, Douglas C. Morton, Gérard Dedieu, Sylvie Durrieu, Jean‐Baptiste Féret and Thomas Cajgfinger and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and Biogeosciences.

In The Last Decade

J. Rubio

13 papers receiving 436 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Rubio 313 281 186 62 56 13 447
Arto Viinikka 187 0.6× 191 0.7× 221 1.2× 62 1.0× 53 0.9× 17 479
Jie Zou 294 0.9× 294 1.0× 166 0.9× 107 1.7× 123 2.2× 25 434
Magdalena Śmigaj 180 0.6× 197 0.7× 103 0.6× 60 1.0× 69 1.2× 16 446
Lili Lin 271 0.9× 233 0.8× 144 0.8× 46 0.7× 52 0.9× 38 449
Dominic Fawcett 176 0.6× 231 0.8× 245 1.3× 98 1.6× 53 0.9× 16 526
Torsten Prinz 239 0.8× 250 0.9× 88 0.5× 30 0.5× 55 1.0× 16 466
Raymond Soffer 190 0.6× 346 1.2× 169 0.9× 33 0.5× 50 0.9× 27 523
Werner Mücke 266 0.8× 199 0.7× 75 0.4× 118 1.9× 33 0.6× 17 422
Caiti Steele 237 0.8× 257 0.9× 160 0.9× 87 1.4× 67 1.2× 15 503
Viviana Otero 161 0.5× 333 1.2× 124 0.7× 28 0.5× 21 0.4× 17 466

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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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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