P. Ciais

1.7k total citations
10 papers, 589 citations indexed

About

P. Ciais is a scholar working on Global and Planetary Change, Water Science and Technology and Soil Science. According to data from OpenAlex, P. Ciais has authored 10 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 4 papers in Water Science and Technology and 3 papers in Soil Science. Recurrent topics in P. Ciais's work include Plant Water Relations and Carbon Dynamics (5 papers), Hydrology and Watershed Management Studies (4 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). P. Ciais is often cited by papers focused on Plant Water Relations and Carbon Dynamics (5 papers), Hydrology and Watershed Management Studies (4 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). P. Ciais collaborates with scholars based in France, China and Australia. P. Ciais's co-authors include Paul A. Dirmeyer, Joshua B. Fisher, Brigitte Mueller, Sonia I. Seneviratne, Yongqiang Zhang, Matthew F. McCabe, Diego G. Miralles, Justin Sheffield, Martin Hirschi and Markus Reichstein and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Nature Climate Change.

In The Last Decade

P. Ciais

10 papers receiving 583 citations

Peers

Countries citing papers authored by P. Ciais

Since Specialization

Citations

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

Fields of papers citing papers by P. Ciais

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Ciais

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches 2025 ·Advanced Science ·(unknown), Ke Liu, Sabine Grunwald, Pete Smith, P. Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, (unknown), (unknown), Meixue Zhou, Zhangyong Liu, (unknown)	5
2	Biochar-based urea increases soil methane uptake in a subtropical forest 2024 ·Geoderma ·Jiashu Zhou, Caixian Tang, Yakov Kuzyakov, Tony Vancov, Yunying Fang, Xinzhang Song, Xuhui Zhou, Zhenhui Jiang, Tida Ge, Lin Xu, Yanjiang Cai, Bing Yu, Jason C. White, Baojing Gu, Xinli Chen, P. Ciais, Yongfu Li	28
3	Low Phosphorus Availability Decreases Susceptibility of Tropical Primary Productivity to Droughts 2018 ·Geophysical Research Letters ·Daniel S. Goll, Émilie Joetzjer, Mengtian Huang, P. Ciais	24
4	Testing conceptual and physically based soil hydrology schemes against observations for the Amazon Basin 2014 ·Geoscientific model development ·Matthieu Guimberteau, Agnès Ducharne, P. Ciais, Juan Pablo Boisier, Shushi Peng, (unknown), Hans Verbeeck	40
5	Predicting the response of the Amazon rainforest to persistent drought conditions under current and future climates: a major challenge for global land surface models 2014 ·Geoscientific model development ·Émilie Joetzjer, Christine Delire, Hervé Douville, P. Ciais, Bertrand Decharme, Rosie A. Fisher, Bradley Christoffersen, Jean‐Christophe Calvet, (unknown), Leandro Valle Ferreira, Patrick Meir	32
6	Linearity between temperature peak and bioenergy CO2 emission rates 2014 ·Nature Climate Change ·Francesco Cherubini, Thomas Gasser, Ryan M. Bright, P. Ciais, Anders Hammer Strømman	31
7	Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis 2013 ·Hydrology and earth system sciences ·Brigitte Mueller, Martin Hirschi, Carlos Jiménez, P. Ciais, Paul A. Dirmeyer, A. J. Dolman, Joshua B. Fisher, Martin Jung, Fulco Ludwig, Fabienne Maignan, Diego G. Miralles, Matthew F. McCabe, Markus Reichstein, Justin Sheffield, Kaicun Wang, Eric F. Wood, Yongqiang Zhang, Sonia I. Seneviratne	298
8	European‐wide simulations of croplands using an improved terrestrial biosphere model: Phenology and productivity 2010 ·Journal of Geophysical Research Atmospheres ·P. C. Smith, Nathalie de Noblet‐Ducoudré, P. Ciais, (unknown), Nicolas Viovy, Yann Meurdesoif, Alberte Bondeau	32
9	Atmospheric inversions for estimating CO2 fluxes: methods and perspectives 2010 ·Climatic Change ·P. Ciais, P. J. Rayner, Frédéric Chevallier, Philippe Bousquet, (unknown), Philippe Peylin, Michel Ramonet	91
10	Is the recent build-up of atmospheric CO<sub>2</sub> over Europe reproduced by models. Part 2: an overview with the atmospheric mesoscale transport model CHIMERE 2009 ·Tellus B ·C. Aulagnier, P. J. Rayner, P. Ciais, Robert Vautard, Léonard Rivier, Michel Ramonet	8

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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