Countries citing papers authored by Philippe Marbaix
Since
Specialization
Citations
This map shows the geographic impact of Philippe Marbaix'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 Philippe Marbaix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Marbaix more than expected).
Fields of papers citing papers by Philippe Marbaix
This network shows the impact of papers produced by Philippe Marbaix. 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 Philippe Marbaix. The network helps show where Philippe Marbaix may publish in the future.
Co-authorship network of co-authors of Philippe Marbaix
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Marbaix.
A scholar is included among the top collaborators of Philippe Marbaix 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 Philippe Marbaix. Philippe Marbaix is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Strihou, Jean-Pascal van Ypersele de & Philippe Marbaix. (2013). Sensitivity of convection-permitting regional climate simulations to the level of microphysics parameterization complexity.1 indexed citations
6.
Staes, Jan, Patrick Willems, Philippe Marbaix, et al.. (2011). Impact of climate change on river hydrology and ecology : a case study for interdisciplinary policy oriented research SUDEM-CLI. 1–13.3 indexed citations
7.
Johansson, Daniel, et al.. (2010). Scientific Perspectives after Copenhagen. Chalmers Publication Library (Chalmers University of Technology).3 indexed citations
Texier, D., Nathalie de Noblet, Didier Paillard, et al.. (2004). Deliverable D10/12: Development and application of a methology for taking climate-driven environmental change into account in performance assessments.Work package 4:Biosphere System Description. Modelling Sequential Biosphere Systems under Climate Change for Radioactive Waste Disposal(BIOCLIM). UPM Digital Archive (Technical University of Madrid).4 indexed citations
Texier, D., Nathalie de Noblet, Didier Paillard, et al.. (2003). Deliverable D8a: Development of the rule-based downscaling methodology for BIOCLIM Workpackage 3. Work Package 3, Simulation of the future evolution of the biosphere system using the hierarchical strategy. Modelling Sequential Biosphere Systems under Climate Change for Radioactive Waste Disposal (BIOCLIM). UPM Digital Archive (Technical University of Madrid).2 indexed citations
Texier, D., Nathalie de Noblet, Didier Paillard, et al.. (2003). Deliverable D4/5: Global climatic characteristics, including vegetation and seasonal cycles over Europe, for snapshots over the next 200,000 years. Work Package 2, Simulation of the future evolution of the biosphere system using the hierarchical strategy. Modelling Sequential Biosphere Systems under Climate Change for Radioactive Waste Disposal (BIOCLIM). UPM Digital Archive (Technical University of Madrid).1 indexed citations
20.
Texier, D., Nathalie de Noblet, Didier Paillard, et al.. (2003). Deliverable D7: Continuous climate evolution scenarios over western Europe (1000 km) scale. Work Package 2, Simulation of the future evolution of the biosphere system using the hierarchical strategy. Modelling Sequential Biosphere Systems under Climate Change for Radioactive Waste Disposal (BIOCLIM). UPM Digital Archive (Technical University of Madrid).2 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.