Catherine Ottlé

10.7k total citations · 1 hit paper
111 papers, 5.1k citations indexed

About

Catherine Ottlé is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Catherine Ottlé has authored 111 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Global and Planetary Change, 51 papers in Environmental Engineering and 43 papers in Atmospheric Science. Recurrent topics in Catherine Ottlé's work include Plant Water Relations and Carbon Dynamics (32 papers), Hydrology and Watershed Management Studies (31 papers) and Climate variability and models (29 papers). Catherine Ottlé is often cited by papers focused on Plant Water Relations and Carbon Dynamics (32 papers), Hydrology and Watershed Management Studies (31 papers) and Climate variability and models (29 papers). Catherine Ottlé collaborates with scholars based in France, China and United States. Catherine Ottlé's co-authors include Philippe Ciais, Shushi Peng, Shilong Piao, Pierre Friedlingstein, D. Vidal‐Madjar, Huijuan Nan, Liming Zhou, Ranga B. Myneni, François‐Marie Bréon and Christophe François and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Catherine Ottlé

108 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surface Urban Heat Island Across 419 Global Big Cities

2011 1.1k citations Shushi Peng, Shilong Piao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catherine Ottlé France	36	3.0k	2.7k	1.8k	999	885	111	5.1k
Bo‐Hui Tang China	30	2.9k 1.0×	4.5k 1.7×	3.2k 1.7×	489 0.5×	1.0k 1.2×	202	6.4k
Michael Barlage United States	42	4.9k 1.6×	2.0k 0.7×	4.5k 2.5×	1.7k 1.7×	406 0.5×	106	7.2k
Isabel F. Trigo Portugal	44	5.1k 1.7×	3.8k 1.4×	4.6k 2.5×	430 0.4×	994 1.1×	120	8.3k
Mathias W. Rotach Austria	47	4.2k 1.4×	4.2k 1.5×	3.9k 2.1×	342 0.3×	519 0.6×	138	7.5k
Ronglin Tang China	28	2.3k 0.8×	2.0k 0.8×	1.3k 0.7×	634 0.6×	480 0.5×	112	3.4k
Jun Qin China	47	5.0k 1.7×	2.6k 1.0×	5.4k 3.0×	1.5k 1.5×	872 1.0×	121	9.2k
Zhihao Qin China	39	2.8k 0.9×	3.2k 1.2×	2.2k 1.2×	285 0.3×	2.0k 2.3×	152	6.1k
Martin Best United Kingdom	25	4.6k 1.5×	2.0k 0.7×	2.8k 1.5×	1.7k 1.7×	436 0.5×	50	6.6k
Emanuel Dutra United Kingdom	43	5.5k 1.8×	1.7k 0.6×	4.0k 2.2×	2.2k 2.2×	628 0.7×	100	7.7k
Kevin W. Manning United States	28	5.2k 1.7×	1.9k 0.7×	5.4k 3.0×	855 0.9×	278 0.3×	40	7.1k

Countries citing papers authored by Catherine Ottlé

Since Specialization

Citations

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

Fields of papers citing papers by Catherine Ottlé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Ottlé

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

All Works

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20 of 20 papers shown

Schwartz, Martin A., Philippe Ciais, Catherine Ottlé, et al.. (2024). High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach. International Journal of Applied Earth Observation and Geoinformation. 128. 103711–103711. 31 indexed citations

Delbart, Nicolas, et al.. (2024). Country-Scale Crop-Specific Phenology from Disaggregated PROBA-V. Remote Sensing. 16(23). 4521–4521. 1 indexed citations

Raoult, Nina, James M. Salter, F. Hourdin, et al.. (2024). Exploring the potential of history matching for land surface model calibration. Geoscientific model development. 17(15). 5779–5801. 2 indexed citations

Charbit, Sylvie, Christophe Dumas, Fabienne Maignan, et al.. (2024). Modelling snowpack on ice surfaces with the ORCHIDEE land surface model: application to the Greenland ice sheet. The cryosphere. 18(11). 5067–5099. 1 indexed citations

Raoult, Nina, Sylvie Charbit, Christophe Dumas, et al.. (2023). Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals. The cryosphere. 17(7). 2705–2724. 4 indexed citations

Polcher‬, Jan, Eliott Dupont, Lucia Rinchiuso, et al.. (2023). Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water. Geoscientific model development. 16(9). 2583–2606. 3 indexed citations

Harper, Kandice, Céline Lamarche, Andrew James Hartley, et al.. (2023). A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models. Earth system science data. 15(3). 1465–1499. 57 indexed citations

Ottlé, Catherine, et al.. (2023). Fires in the South American Chaco, from dry forests to wetlands: response to climate depends on land cover. Fire Ecology. 19(1). 10 indexed citations

Ménégoz, Martin, et al.. (2023). Improving climate model skill over High Mountain Asia by adapting snow cover parameterization to complex-topography areas. The cryosphere. 17(12). 5095–5130. 6 indexed citations

10.

Ciais, Philippe, Jérôme Chave, Catherine Ottlé, et al.. (2023). FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach. Earth system science data. 15(11). 4927–4945. 19 indexed citations

11.

Yin, Zun, Catherine Ottlé, Philippe Ciais, et al.. (2021). Irrigation, damming, and streamflow fluctuations of the Yellow River. Hydrology and earth system sciences. 25(3). 1133–1150. 29 indexed citations

12.

Pan, Shufen, Naiqing Pan, Hanqin Tian, et al.. (2020). Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling. Hydrology and earth system sciences. 24(3). 1485–1509. 203 indexed citations

13.

Cappelaere, B., Denis Feurer, Théo Vischel, et al.. (2020). Modeling Land Surface Fluxes from Uncertain Rainfall: A Case Study in the Sahel with Field-Driven Stochastic Rainfields. Atmosphere. 11(5). 465–465. 2 indexed citations

14.

Bruzzone, Lorenzo, Francesca Bovolo, Pierre Defourny, et al.. (2019). CCI Essential Climate Variables: High Resolution Land Cover. Institutional Research Information System (Università degli Studi di Trento). 1 indexed citations

15.

Lian, Xu, Shilong Piao, Chris Huntingford, et al.. (2018). Partitioning global land evapotranspiration using CMIP5 models constrained by observations. Nature Climate Change. 8(7). 640–646. 276 indexed citations

16.

Yin, Zun, Catherine Ottlé, Philippe Ciais, et al.. (2018). Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data. Hydrology and earth system sciences. 22(10). 5463–5484. 14 indexed citations

17.

Yang, Xi, Peng Sun, Matthieu Guimberteau, et al.. (2018). Contributions of climate change, CO 2 , land-use change and human activities to changes in river flow across ten Chinese basins. AGU Fall Meeting Abstracts. 2018.

18.

Thiria, Sylvie, et al.. (2017). Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6. Geoscientific model development. 10(1). 85–104. 7 indexed citations

19.

Ryder, Jim, Jan Polcher‬, Philippe Peylin, et al.. (2016). A multi-layer land surface energy budget model for implicit coupling with global atmospheric simulations. Geoscientific model development. 9(1). 223–245. 30 indexed citations

20.

Zhu, Dan, Shushi Peng, P. Ciais, et al.. (2015). Improving the dynamics of Northern Hemisphere high-latitude vegetation in the ORCHIDEE ecosystem model. Geoscientific model development. 8(7). 2263–2283. 37 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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