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.
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
2016456 citationsSimone Fatichi, Enrique R. Vivoni et al.Journal of Hydrologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Charles W. Downer
Since
Specialization
Citations
This map shows the geographic impact of Charles W. Downer'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 Charles W. Downer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles W. Downer more than expected).
Fields of papers citing papers by Charles W. Downer
This network shows the impact of papers produced by Charles W. Downer. 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 Charles W. Downer. The network helps show where Charles W. Downer may publish in the future.
Co-authorship network of co-authors of Charles W. Downer
This figure shows the co-authorship network connecting the top 25 collaborators of Charles W. Downer.
A scholar is included among the top collaborators of Charles W. Downer 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 Charles W. Downer. Charles W. Downer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Douglas, Thomas A., M. Torre Jorgenson, C. A. Hiemstra, et al.. (2016). Addressing the Impacts of Climate Change on U.S. Army Alaska with Decision Support Tools Developed Through Field Work and Modeling.2 indexed citations
5.
Fatichi, Simone, Enrique R. Vivoni, Fred L. Ogden, et al.. (2016). An overview of current applications, challenges, and future trends in distributed process-based models in hydrology. Journal of Hydrology. 537. 45–60.456 indexed citations breakdown →
Follum, Michael L., Charles W. Downer, & Jeffrey D. Niemann. (2014). Simulating the spatial distribution of snow pack and snow melt runoff with different snow melt algorithms in a physics based watershed model. 2014 AGU Fall Meeting. 2014.1 indexed citations
9.
Cheng, Jing-Ru C., et al.. (2013). Development of Parallel GSSHA. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core).1 indexed citations
Ogden, Fred L., Nawa Raj Pradhan, & Charles W. Downer. (2009). Uncertainty in tile drain locations: Implications for hydrologic modeling of agricultural watersheds. AGU Fall Meeting Abstracts. 2009.1 indexed citations
12.
Downer, Charles W.. (2009). Simulation of Reactive Constituent Fate and Transport in Hydrologic Simulator GSSHA. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core).1 indexed citations
13.
Downer, Charles W., et al.. (2007). A GSSHA Model of the Perris Basin of the San Jacinto River Watershed, Riverside County, California. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core).3 indexed citations
14.
Downer, Charles W.. (2007). Development of a Simple Soil Moisture Model in the Hydrologic Simulator GSSHA. Defense Technical Information Center (DTIC).4 indexed citations
15.
Downer, Charles W., et al.. (2007). Watershed Scale TMDL Model: Multidimensional Sediment Erosion, Transport, and Fate. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core).3 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.