Jan Polcher‬

18.6k total citations · 3 hit papers
129 papers, 7.7k citations indexed

About

Jan Polcher‬ is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Jan Polcher‬ has authored 129 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Global and Planetary Change, 72 papers in Atmospheric Science and 50 papers in Water Science and Technology. Recurrent topics in Jan Polcher‬'s work include Climate variability and models (81 papers), Hydrology and Watershed Management Studies (49 papers) and Meteorological Phenomena and Simulations (37 papers). Jan Polcher‬ is often cited by papers focused on Climate variability and models (81 papers), Hydrology and Watershed Management Studies (49 papers) and Meteorological Phenomena and Simulations (37 papers). Jan Polcher‬ collaborates with scholars based in France, United Kingdom and Germany. Jan Polcher‬'s co-authors include K. Laval, Philippe Ciais, Agnès Ducharne, Nicolas Viovy, Gerhard Krinner, Shannon Sterling, I. Colin Prentice, Nathalie de Noblet‐Ducoudré, Jérôme Ogée and Stephen Sitch and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Jan Polcher‬

125 papers receiving 7.5k citations

Hit Papers

A dynamic global vegetati... 2005 2026 2012 2019 2005 2012 2006 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Jan Polcher‬ 6.1k 3.9k 1.7k 1.0k 992 129 7.7k
Erik Kjellström 5.6k 0.9× 4.5k 1.2× 1.1k 0.6× 864 0.8× 558 0.6× 129 7.8k
Yongkang Xue 6.1k 1.0× 5.1k 1.3× 1.3k 0.8× 481 0.5× 1.3k 1.3× 164 7.9k
K. A. Dunne 4.8k 0.8× 1.9k 0.5× 3.0k 1.8× 886 0.8× 669 0.7× 20 6.6k
Jens Hesselbjerg Christensen 8.1k 1.3× 7.0k 1.8× 2.0k 1.2× 766 0.7× 586 0.6× 138 11.1k
Sergey Malyshev 4.7k 0.8× 2.9k 0.7× 591 0.4× 907 0.9× 1.1k 1.1× 83 6.6k
Bertrand Timbal 4.7k 0.8× 2.9k 0.7× 1.4k 0.8× 950 0.9× 517 0.5× 81 5.9k
Nicola Gedney 5.5k 0.9× 3.2k 0.8× 1.3k 0.8× 474 0.5× 596 0.6× 53 7.1k
Pavel Groisman 7.5k 1.2× 5.9k 1.5× 1.7k 1.0× 373 0.4× 745 0.8× 105 9.7k
César Azorín-Molina 6.8k 1.1× 3.5k 0.9× 1.8k 1.1× 480 0.5× 971 1.0× 172 8.9k
Lukas Gudmundsson 5.5k 0.9× 2.0k 0.5× 3.0k 1.8× 751 0.7× 969 1.0× 93 7.2k

Countries citing papers authored by Jan Polcher‬

Since Specialization
Citations

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

Fields of papers citing papers by Jan Polcher‬

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Polcher‬

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Polcher‬. A scholar is included among the top collaborators of Jan Polcher‬ 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 Jan Polcher‬. Jan Polcher‬ 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
2.
Polcher‬, Jan, et al.. (2023). Introducing a new floodplain scheme in ORCHIDEE (version 7885): validation and evaluation over the Pantanal wetlands. Geoscientific model development. 16(20). 5755–5782. 1 indexed citations
3.
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
4.
6.
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
7.
Zhou, Xudong, Jan Polcher‬, Tao Yang, & Ching‐Sheng Huang. (2020). A new uncertainty estimation approach with multiple datasets and implementation for various precipitation products. Hydrology and earth system sciences. 24(4). 2061–2081. 5 indexed citations
8.
Takahashi, Hiroshi G. & Jan Polcher‬. (2019). Weakening of rainfall intensity on wet soils over the wet Asian monsoon region using a high-resolution regional climate model. Progress in Earth and Planetary Science. 6(1). 13 indexed citations
9.
Pellet, Victor, Filipe Aires, Simon Munier, et al.. (2019). Integrating multiple satellite observations into a coherent dataset to monitor the full water cycle – application to the Mediterranean region. Hydrology and earth system sciences. 23(1). 465–491. 31 indexed citations
10.
Dadson, Simon, Eleanor Blyth, Richard J. Ellis, et al.. (2019). Hydro-JULES: Next Generation Land-surface and Hydrological Predictions. AGU Fall Meeting Abstracts. 2019. 14578. 2 indexed citations
11.
Zhou, Xudong, Jan Polcher‬, Tao Yang, & Ching‐Sheng Huang. (2019). A new uncertainty estimation technique for multiple datasets and itsapplication to various precipitation products. 1 indexed citations
12.
Zhou, Xudong, et al.. (2018). Understanding the water cycle over the upper Tarim Basin: retrospecting the estimated discharge bias to atmospheric variables and model structure. Hydrology and earth system sciences. 22(11). 6087–6108. 6 indexed citations
13.
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
14.
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.
15.
Lauerwald, Ronny, Pierre Regnier, Marta Camino‐Serrano, et al.. (2017). ORCHILEAK: A new model branch to simulate carbon transfers alongthe terrestrial-aquatic continuum of the Amazon basin. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 5 indexed citations
16.
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
17.
Guimberteau, Matthieu, Alain Perrier, K. Laval, & Jan Polcher‬. (2012). A comprehensive approach to analyze discrepancies between land surface models and in-situ measurements: a case study over the US and Illinois with SECHIBA forced by NLDAS. Hydrology and earth system sciences. 16(11). 3973–3988. 4 indexed citations
18.
Guimberteau, Matthieu, K. Laval, Alain Perrier, & Jan Polcher‬. (2008). Streamflow Simulations by the Land Surface Model ORCHIDEE Over the Mississippi River Basin: Impact of Resolution and Data Source on the Model. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
19.
Krinner, Gerhard, Nicolas Viovy, Nathalie de Noblet‐Ducoudré, et al.. (2005). A dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system. Global Biogeochemical Cycles. 19(1). 1603 indexed citations breakdown →
20.
Polcher‬, Jan, et al.. (2003). Impact of irrigation over India on the land surface fluxes. EAEJA. 1524. 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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