Javier Pacheco‐Labrador

121 total papers · 1.9k total citations
43 papers, 1.1k citations indexed

About

Javier Pacheco‐Labrador is a scholar working on Ecology, Global and Planetary Change and Plant Science. According to data from OpenAlex, Javier Pacheco‐Labrador has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ecology, 29 papers in Global and Planetary Change and 15 papers in Plant Science. Recurrent topics in Javier Pacheco‐Labrador's work include Remote Sensing in Agriculture (32 papers), Plant Water Relations and Carbon Dynamics (22 papers) and Plant responses to elevated CO2 (7 papers). Javier Pacheco‐Labrador is often cited by papers focused on Remote Sensing in Agriculture (32 papers), Plant Water Relations and Carbon Dynamics (22 papers) and Plant responses to elevated CO2 (7 papers). Javier Pacheco‐Labrador collaborates with scholars based in Spain, Germany and Italy. Javier Pacheco‐Labrador's co-authors include M. Pilar Martín, Mirco Migliavacca, Arnaud Carrara, Gerardo Moreno, Tarek S. El‐Madany, Markus Reichstein, Micol Rossini, Rosario González-Cascón, Tommaso Julitta and Óscar Pérez‐Priego and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Javier Pacheco‐Labrador

41 papers receiving 1.1k citations

Hit Papers

Widespread and complex dr... 2023 2026 2024 2023 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Javier Pacheco‐Labrador 782 713 268 254 146 43 1.1k
Fernando Sedano 665 0.9× 715 1.0× 339 1.3× 251 1.0× 202 1.4× 28 1.2k
Rui Sun 498 0.6× 712 1.0× 301 1.1× 185 0.7× 136 0.9× 53 1.2k
Feng Zhao 568 0.7× 778 1.1× 342 1.3× 437 1.7× 166 1.1× 59 1.3k
A. C. Coutinho 543 0.7× 554 0.8× 202 0.8× 156 0.6× 104 0.7× 33 1.0k
Jing Wang 376 0.5× 611 0.9× 265 1.0× 205 0.8× 190 1.3× 57 930
Marcel Schwieder 504 0.6× 872 1.2× 381 1.4× 189 0.7× 237 1.6× 35 1.2k
Julie Betbeder 498 0.6× 832 1.2× 466 1.7× 249 1.0× 230 1.6× 38 1.3k
Fiona Cawkwell 412 0.5× 723 1.0× 304 1.1× 156 0.6× 237 1.6× 35 1.1k
Joris Timmermans 799 1.0× 604 0.8× 334 1.2× 196 0.8× 217 1.5× 44 1.2k
Petra D’Odorico 665 0.9× 730 1.0× 317 1.2× 271 1.1× 225 1.5× 39 1.2k

Countries citing papers authored by Javier Pacheco‐Labrador

Since Specialization
Citations

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

Fields of papers citing papers by Javier Pacheco‐Labrador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Pacheco‐Labrador

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Pacheco‐Labrador. A scholar is included among the top collaborators of Javier Pacheco‐Labrador 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 Pacheco‐Labrador. Javier Pacheco‐Labrador 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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