Oliver Cartus

3.7k total citations
51 papers, 1.3k citations indexed

About

Oliver Cartus is a scholar working on Environmental Engineering, Aerospace Engineering and Ecology. According to data from OpenAlex, Oliver Cartus has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Environmental Engineering, 23 papers in Aerospace Engineering and 18 papers in Ecology. Recurrent topics in Oliver Cartus's work include Remote Sensing and LiDAR Applications (30 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (22 papers) and Remote Sensing in Agriculture (18 papers). Oliver Cartus is often cited by papers focused on Remote Sensing and LiDAR Applications (30 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (22 papers) and Remote Sensing in Agriculture (18 papers). Oliver Cartus collaborates with scholars based in Switzerland, Germany and United States. Oliver Cartus's co-authors include Maurizio Santoro, Josef Kellndorfer, U. Wegmüller, Christiane Schmullius, Johan E. S. Fransson, Christian Beer, А. Shvidenko, Wayne Walker, Ian McCallum and Andreas Wiesmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Oliver Cartus

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oliver Cartus Switzerland 19 863 592 436 331 314 51 1.3k
Kathleen M. Bergen United States 18 822 1.0× 668 1.1× 591 1.4× 289 0.9× 368 1.2× 44 1.5k
Ludovic Villard France 17 1.0k 1.2× 542 0.9× 295 0.7× 704 2.1× 299 1.0× 42 1.5k
Takeshi Motohka Japan 20 637 0.7× 832 1.4× 513 1.2× 389 1.2× 130 0.4× 88 1.5k
F.J. Ahern Canada 13 453 0.5× 524 0.9× 388 0.9× 168 0.5× 134 0.4× 48 881
Marcus Engdahl Italy 18 713 0.8× 391 0.7× 215 0.5× 576 1.7× 205 0.7× 42 1.4k
Takuya Itoh Japan 10 397 0.5× 841 1.4× 521 1.2× 127 0.4× 99 0.3× 23 1.2k
T. Letoan France 6 593 0.7× 300 0.5× 253 0.6× 368 1.1× 108 0.3× 13 880
Tatiana Mora Kuplich Brazil 14 378 0.4× 424 0.7× 243 0.6× 89 0.3× 160 0.5× 57 807
Wenlu Qi United States 8 864 1.0× 639 1.1× 429 1.0× 154 0.5× 449 1.4× 14 1.2k
Tomohiro Shiraishi Japan 8 399 0.5× 426 0.7× 371 0.9× 127 0.4× 97 0.3× 20 755

Countries citing papers authored by Oliver Cartus

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Cartus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Cartus

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

All Works

20 of 20 papers shown
1.
Cartus, Oliver, et al.. (2025). A parametric approach for global estimation of forest above-ground biomass with SMOS and SMAP L-band radiometer data. Remote Sensing of Environment. 318. 114601–114601.
2.
Rodríguez‐Veiga, Pedro, João M. B. Carreiras, S. Quegan, et al.. (2025). Loss of tropical moist broadleaf forest has turned Africa’s forests from a carbon sink into a source. Scientific Reports. 15(1). 41744–41744.
3.
Santoro, Maurizio, Oliver Cartus, Oleg Antropov, & Jukka Miettinen. (2024). Estimation of Forest Growing Stock Volume with Synthetic Aperture Radar: A Comparison of Model-Fitting Methods. Remote Sensing. 16(21). 4079–4079. 2 indexed citations
4.
Zhu, Lei, Wei Li, Philippe Ciais, et al.. (2023). Comparable biophysical and biogeochemical feedbacks on warming from tropical moist forest degradation. Nature Geoscience. 16(3). 244–249. 38 indexed citations
5.
Lavalle, Marco, et al.. (2023). Model-Based Retrieval of Forest Parameters From Sentinel-1 Coherence and Backscatter Time Series. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 5 indexed citations
6.
Santoro, Maurizio, et al.. (2023). Implications of the steady-state assumption for the global vegetation carbon turnover. Environmental Research Letters. 18(10). 104036–104036. 1 indexed citations
7.
Kellndorfer, Josef, Oliver Cartus, Marco Lavalle, et al.. (2022). Global seasonal Sentinel-1 interferometric coherence and backscatter data set. Scientific Data. 9(1). 73–73. 48 indexed citations
8.
Besnard, Simon, Maurizio Santoro, Oliver Cartus, et al.. (2021). Global sensitivities of forest carbon changes to environmental conditions. Global Change Biology. 27(24). 6467–6483. 22 indexed citations
9.
Zhao, Zhe, Wei Li, Philippe Ciais, et al.. (2021). Fire enhances forest degradation within forest edge zones in Africa. Nature Geoscience. 14(7). 479–483. 45 indexed citations
10.
Cartus, Oliver, Maurizio Santoro, U. Wegmüller, Nicolas Labrière, & Jérôme Chave. (2021). Sentinel-1 Coherence for Mapping Above-Ground Biomass in Semiarid Forest Areas. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 17 indexed citations
11.
12.
Santoro, Maurizio, Oliver Cartus, Stéphane Mermoz, et al.. (2018). A detailed portrait of the forest aboveground biomass pool for the year 2010 obtained from multiple remote sensing observations. EGU General Assembly Conference Abstracts. 18932. 13 indexed citations
13.
Santoro, Maurizio & Oliver Cartus. (2018). Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations. Remote Sensing. 10(4). 608–608. 68 indexed citations
14.
Cartus, Oliver & Maurizio Santoro. (2016). Multi-Scale Mapping of Forest Growing Stock Volume Using Envisat ASAR, ALOS PALSAR Landsat, and ICESat GLAS. 740. 116. 3 indexed citations
15.
Cartus, Oliver, Josef Kellndorfer, Wayne Walker, et al.. (2011). Large-area Mapping of Forest Cover and Biomass using ALOS PALSAR. AGUFM. 2011. 1 indexed citations
16.
Cartus, Oliver, Maurizio Santoro, & Christiane Schmullius. (2010). C-Band Intensity-Based Growing Stock Volume Estimates Versus the MODIS Vegetation Continuous Fields Tree Canopy Cover: Does C-Band See More than Canopy Cover?. 686. 34. 1 indexed citations
17.
Cartus, Oliver, et al.. (2009). Generation and cross-validation of large-area forest stem volume maps for northeast and southeast China using ERS-1/2 tandem coherence. Zurich Open Repository and Archive (University of Zurich). 1 indexed citations
18.
Cartus, Oliver, et al.. (2008). Sentinel-1 Land Applications based on Multi-temporal Data Acquisitions. 1–2. 1 indexed citations
19.
Cartus, Oliver, Maurizio Santoro, Christiane Schmullius, et al.. (2008). LARGE-SCALE FOREST MAPPING IN NORTHEAST CHINA AND MAP UPDATING BY USING ERS-1/2 TANDEM AND ENVISAT ASAR DATA. ESASP. 655. 31. 1 indexed citations
20.
Schmullius, C., Alexandre Bouvet, Oliver Cartus, et al.. (2006). MID-TERM STATUS OF THE FOREST DRAGON PROJECT. ESASP. 611. 1 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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