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.
Modeling infiltration during a steady rain
1973737 citationsRussell G Mein, Curtis L. LarsonWater Resources Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Curtis L. Larson
Since
Specialization
Citations
This map shows the geographic impact of Curtis L. Larson'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 Curtis L. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis L. Larson more than expected).
Fields of papers citing papers by Curtis L. Larson
This network shows the impact of papers produced by Curtis L. Larson. 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 Curtis L. Larson. The network helps show where Curtis L. Larson may publish in the future.
Co-authorship network of co-authors of Curtis L. Larson
This figure shows the co-authorship network connecting the top 25 collaborators of Curtis L. Larson.
A scholar is included among the top collaborators of Curtis L. Larson 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 Curtis L. Larson. Curtis L. Larson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moore, Ian D., Curtis L. Larson, & D. C. Slack. (1980). Predicting Infiltration and Micro-Relief Surface Storage for Cultivated Soils. University of Minnesota Digital Conservancy (University of Minnesota).8 indexed citations
Wilson, Bruce, D. C. Slack, & Curtis L. Larson. (1979). DEVELOPMENT AND EVALUATION OF INFILTRATION MODEL PARAMETERS..1 indexed citations
11.
Larson, Curtis L., et al.. (1978). EXPERIMENTAL EVALUATION OF TWO INFILTRATION EQUATIONS.. Paper - American Society of Agricultural Engineers.1 indexed citations
Mein, Russell G & Curtis L. Larson. (1973). Modeling infiltration during a steady rain. Water Resources Research. 9(2). 384–394.737 indexed citations breakdown →
16.
Larson, Curtis L., et al.. (1972). Methods for Routing Hydrographs Through Open Channels. University of Minnesota Digital Conservancy (University of Minnesota).1 indexed citations
Bowers, C. Edward, et al.. (1971). Numerical Routing of Flood Hydrographs through Open Channel Junctions. University of Minnesota Digital Conservancy (University of Minnesota).4 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.