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.
A high‐accuracy map of global terrain elevations
2017939 citationsDai Yamazaki, Daiki Ikeshima et al.profile →
A high-resolution global flood hazard model
2015408 citationsChristopher Sampson, Andrew M. Smith et al.Water Resources Researchprofile →
A 30 m global map of elevation with forests and buildings removed
2022336 citationsJeison Sosa, James Savage et al.Environmental Research Lettersprofile →
Estimates of present and future flood risk in the conterminous United States
2018301 citationsOliver Wing, Paul Bates et al.Environmental Research Lettersprofile →
Flood exposure and social vulnerability in the United States
2021263 citationsEric Tate, Christopher T. Emrich et al.Natural Hazardsprofile →
Inequitable patterns of US flood risk in the Anthropocene
2022256 citationsOliver Wing, William Lehman et al.Nature Climate Changeprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Christopher Sampson
Since
Specialization
Citations
This map shows the geographic impact of Christopher Sampson'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 Christopher Sampson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Sampson more than expected).
Fields of papers citing papers by Christopher Sampson
This network shows the impact of papers produced by Christopher Sampson. 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 Christopher Sampson. The network helps show where Christopher Sampson may publish in the future.
Co-authorship network of co-authors of Christopher Sampson
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Sampson.
A scholar is included among the top collaborators of Christopher Sampson 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 Christopher Sampson. Christopher Sampson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wing, Oliver, William Lehman, Paul Bates, et al.. (2022). Inequitable patterns of US flood risk in the Anthropocene. Nature Climate Change. 12(2). 156–162.256 indexed citations breakdown →
Tate, Eric, et al.. (2021). Flood exposure and social vulnerability in the United States. Natural Hazards. 106(1). 435–457.263 indexed citations breakdown →
9.
Bernhofen, Mark, Mark A. Trigg, Andrew Sleigh, Christopher Sampson, & Andrew M. Smith. (2021). Global flood exposure from different sized rivers. Natural hazards and earth system sciences. 21(9). 2829–2847.21 indexed citations
Trigg, Mark A., Wim Clymans, Suraje Dessai, et al.. (2018). Catchment Hydrology Explorer for Water Stewards (CatchX Platform). EGU General Assembly Conference Abstracts. 9882.1 indexed citations
15.
Wing, Oliver, Paul Bates, Andrew M. Smith, et al.. (2018). Estimates of present and future flood risk in the conterminous United States. Environmental Research Letters. 13(3). 34023–34023.301 indexed citations breakdown →
16.
Yamazaki, Dai, Daiki Ikeshima, Jeffrey Neal, et al.. (2017). MERIT DEM: A new high-accuracy global digital elevation model and its merit to global hydrodynamic modeling. AGU Fall Meeting Abstracts. 2017.17 indexed citations
17.
Quinn, Niall, et al.. (2017). The Generation of a Stochastic Flood Event Catalogue for Continental USA. AGU Fall Meeting Abstracts. 2017.1 indexed citations
18.
Sampson, Christopher, Oliver Wing, A. D. Smith, Paul Bates, & Jeffrey Neal. (2017). Validation of a 30m resolution flood hazard model of the conterminous United States. AGU Fall Meeting Abstracts. 2017.4 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.