Countries citing papers authored by Roeland Samson
Since
Specialization
Citations
This map shows the geographic impact of Roeland Samson'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 Roeland Samson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roeland Samson more than expected).
This network shows the impact of papers produced by Roeland Samson. 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 Roeland Samson. The network helps show where Roeland Samson may publish in the future.
Co-authorship network of co-authors of Roeland Samson
This figure shows the co-authorship network connecting the top 25 collaborators of Roeland Samson.
A scholar is included among the top collaborators of Roeland Samson 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 Roeland Samson. Roeland Samson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wittenberghe, Shari Van, et al.. (2012). Estimating fluorescence emission of city trees in Valencia: from leaf to canopy level. EGU General Assembly Conference Abstracts. 14. 11880.1 indexed citations
10.
Samson, Roeland, et al.. (2011). Respuesta de combinaciones rhizobium - clitoria ternatea en condiciones de estrés salino en el Valle del Cauto en Cuba. SHILAP Revista de lepidopterología.1 indexed citations
11.
Adriaenssens, Sandy, Jeroen Staelens, Karen Wuyts, et al.. (2011). Effect of leaf phenology on canopy exchange processes in temperate tree species. AGUFM. 2011.1 indexed citations
12.
Peters, Jan, et al.. (2009). Hydrological and vegetation analysis of an alluvial floodplain in Belgium.. Ghent University Academic Bibliography (Ghent University). 142(1). 19–38.3 indexed citations
13.
Ranjbar, Abolfazl, et al.. (2009). Elevated ultraviolet-B radiation influences photosynthetic pigments and soluble carbohydrates of sweet almond [Prunus dulcis (Miller) D. Webb].. Electronic journal of environmental, agricultural and food chemistry. 8(11). 1077–1084.8 indexed citations
14.
Verhoest, Niko E. C., et al.. (2005). Random forests as a tool for predictive ecohydrological modelling. Ghent University Academic Bibliography (Ghent University).5 indexed citations
15.
Samson, Roeland, Sam Provoost, Lieven P. C. Verbeke, et al.. (2005). LAI determination in dune vegetation: a comparison of different techniques. Flanders Marine Institute (Flanders Marine Institute).1 indexed citations
16.
Samson, Roeland, Hans Verbeeck, & Raoul Lemeur. (2004). Should forest model parameterisation be based on total ecosystem fluxes or on gross primary production and ecosystem respiration?. Ghent University Academic Bibliography (Ghent University).1 indexed citations
17.
Samson, Roeland, Kathy Steppe, & Raoul Lemeur. (2003). Branch sap flow monitored at several heights in the crown of beech and ash. Ghent University Academic Bibliography (Ghent University).1 indexed citations
18.
Samson, Roeland, et al.. (2002). Quantitative analysis of the contribution of the vegetation to the evapotranspiration in dune slacks. Ghent University Academic Bibliography (Ghent University). 67(4). 117–120.
19.
Samson, Roeland & Raoul Lemeur. (1999). The role of surface temperature in the simulation of forest canopy photosynthesis. Ghent University Academic Bibliography (Ghent University).4 indexed citations
20.
Samson, Roeland, et al.. (1976). Bacterial rot of tomato in the glasshouse.. 8(2). 237–240.2 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.