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.
Estimating Reference Evapotranspiration Under Inaccurate Data Conditions
2002805 citationsP. Droogers, Richard G. Allenprofile →
Large-scale monitoring of snow cover and runoff simulation in Himalayan river basins using remote sensing
2008538 citationsWalter W. Immerzeel, P. Droogers et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of P. Droogers'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. Droogers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Droogers more than expected).
This network shows the impact of papers produced by P. Droogers. 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. Droogers. The network helps show where P. Droogers may publish in the future.
Co-authorship network of co-authors of P. Droogers
This figure shows the co-authorship network connecting the top 25 collaborators of P. Droogers.
A scholar is included among the top collaborators of P. Droogers 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. Droogers. P. Droogers is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Terink, W., Arthur Lutz, Gijs Simons, Walter W. Immerzeel, & P. Droogers. (2015). SPHY v2.0: Spatial Processes in HYdrology. Geoscientific model development. 8(7). 2009–2034.116 indexed citations
5.
Straatsma, Menno, P. Droogers, Wouter Buytaert, et al.. (2013). Water2Invest: Global facility for calculating investments needed to bridge the climate-induced water gap. Utrecht University Repository (Utrecht University). 15.1 indexed citations
Bastiaanssen, W.G.M., Richard G. Allen, P. Droogers, Guido D’Urso, & Pasquale Steduto. (2005). Inserting man’s irrigation and drainage wisdom into soil water flow models and bringing it back out: how far have we progressed?. 6. 263–299.8 indexed citations
11.
Murray-Rust, Hammond & P. Droogers. (2004). Water for the future: linking irrigation and water allocation in the Zayandeh Rud Basin, Iran. RePEc: Research Papers in Economics.3 indexed citations
12.
Aerts, J.C.J.H., R. Lasage, & P. Droogers. (2003). Adapt: A framework for evaluating adaptation strategies. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam).4 indexed citations
Lacroix, Martin P., Geoff Kite, & P. Droogers. (2001). Using public-domain datasets to model the Küçük Menderes basin, Turkey.. IAHS-AISH publication. 601–604.1 indexed citations
15.
Droogers, P. & W.G.M. Bastiaanssen. (2001). Combining remote sensing and hydrological models to enhance spatial and temporal variability. IAHS-AISH publication. 2000. 574–579.3 indexed citations
16.
Droogers, P. & Geoff Kite. (2001). Estimating productivity of water at different spatial scales using simulation modeling. Research Report 53. 53. 16.5 indexed citations
Kite, Geoff, et al.. (2000). Using datasets from the internet for hydrological modelling - an example from the Küçük Menderes basin, Turkey..5 indexed citations
19.
Kite, Geoff & P. Droogers. (2000). Integrated basin modeling. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).8 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.