Christian Requena‐Mesa
- Global and Planetary Change
- Ecology
- Ecological Modeling
- Atmospheric Science
- Environmental Engineering
- Co-authors
- Markus ReichsteinJosé CortésBasil KraftMarco KörnerMartin JungJoachim DenzlerMiguel D. MahechaNuno Carvalhais
- Topics
- Remote Sensing in Agriculture (3 papers)Plant Water Relations and Carbon Dynamics (2 papers)Remote Sensing and LiDAR Applications (2 papers)
- Journals
- Journal of Advances in Modeling Earth SystemsFrontiers in Big DataRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- GermanySouth KoreaColombia
In The Last Decade
Christian Requena‐Mesa
5 papers receiving 50 citations
Peers
Comparison fields: 5 of 26
- Global and Planetary Change 34
- Ecology 15
- Ecological Modeling 11
- Atmospheric Science 9
- Environmental Engineering 9
Countries citing papers authored by Christian Requena‐Mesa
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 28 | |
| 4 | SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data | 2 |
| 5 | 6 |
About Christian Requena‐Mesa
Christian Requena‐Mesa is a scholar working on Ecological Modeling, Environmental Engineering and Ecology, having authored 5 papers that have together received 50 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (3 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Ecological Modeling (11 citations), Global and Planetary Change (34 citations) and Environmental Engineering (9 citations). Christian Requena‐Mesa has collaborated with scholars based in Germany, South Korea and Colombia. Frequent co-authors include Markus Reichstein, José Cortés, Basil Kraft, Marco Körner, Martin Jung, Joachim Denzler, Miguel D. Mahecha, Nuno Carvalhais, Nora Linscheid and Mélanie Weynants. Their work appears in 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).
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.