Christian Requena‐Mesa

37 total papers · 437 total citations
5 papers, 46 citations indexed

About

Christian Requena‐Mesa is a scholar working on Ecology, Ecological Modeling and Atmospheric Science. According to data from OpenAlex, Christian Requena‐Mesa has authored 5 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ecology, 2 papers in Ecological Modeling and 2 papers in Atmospheric Science. Recurrent topics in Christian Requena‐Mesa's work include Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (2 papers) and Species Distribution and Climate Change (2 papers). Christian Requena‐Mesa is often cited by papers focused on Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (2 papers) and Species Distribution and Climate Change (2 papers). Christian Requena‐Mesa collaborates with scholars based in Germany, South Korea and Portugal. Christian Requena‐Mesa's co-authors include Markus Reichstein, Basil Kraft, José Cortés, Marco Körner, Martin Jung, Nuno Carvalhais, Miguel D. Mahecha, Joachim Denzler, Nora Linscheid and Mélanie Weynants and has published in prestigious journals such as Journal of Advances in Modeling Earth Systems, Frontiers in Big Data and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Christian Requena‐Mesa

5 papers receiving 46 citations

Author Peers

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

Author Last Decade Papers Cites
Christian Requena‐Mesa 32 14 11 9 8 5 46
Henry B. Glick 20 0.6× 19 1.4× 4 0.4× 12 1.3× 5 0.6× 8 56
Martha M. Farella 50 1.6× 33 2.4× 5 0.5× 13 1.4× 22 2.8× 5 77
Vianet Mihindou 24 0.8× 22 1.6× 3 0.3× 6 0.7× 9 1.1× 3 49
Vilna Tyystjärvi 25 0.8× 14 1.0× 6 0.5× 16 1.8× 23 2.9× 8 51
Michael Lechner 30 0.9× 31 2.2× 19 1.7× 30 3.3× 29 3.6× 5 73
Rosa Olivo del Amo 16 0.5× 9 0.6× 2 0.2× 3 0.3× 4 0.5× 5 49
Ivelina Georgieva 18 0.6× 15 1.1× 4 0.4× 5 0.6× 3 0.4× 6 38
Lafe G. Conner 21 0.7× 15 1.1× 2 0.2× 3 0.3× 20 2.5× 6 60
Daniel E. Pabon‐Moreno 29 0.9× 26 1.9× 2 0.2× 7 0.8× 7 0.9× 5 44
Alessio Ribeca 32 1.0× 10 0.7× 4 0.4× 7 0.9× 2 42

Countries citing papers authored by Christian Requena‐Mesa

Since Specialization
Citations

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

Fields of papers citing papers by Christian Requena‐Mesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Requena‐Mesa. 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 Christian Requena‐Mesa. The network helps show where Christian Requena‐Mesa may publish in the future.

Co-authorship network of co-authors of Christian Requena‐Mesa

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Requena‐Mesa. A scholar is included among the top collaborators of Christian Requena‐Mesa 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 Christian Requena‐Mesa. Christian Requena‐Mesa 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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2026