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.
Towards process-informed bias correction of climate change simulations
2017392 citationsDouglas Maraun, Theodore G. Shepherd et al.Nature Climate Changeprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Daniel Walton'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 Daniel Walton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Walton more than expected).
This network shows the impact of papers produced by Daniel Walton. 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 Daniel Walton. The network helps show where Daniel Walton may publish in the future.
Co-authorship network of co-authors of Daniel Walton
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Walton.
A scholar is included among the top collaborators of Daniel Walton 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 Daniel Walton. Daniel Walton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Walton, Daniel. (2014). Development and Evaluation of a Hybrid Dynamical-Statistical Downscaling Method. eScholarship (California Digital Library).1 indexed citations
Walton, Daniel, et al.. (2013). Distance learning laboratory: a remote atomic and nuclear physics experiment. NOVA (University of Newcastle Australia).3 indexed citations
16.
Walton, Daniel. (2012). The Impact of Air-Sea Coupling on Simulating SST Variability in the California Current System. eScholarship (California Digital Library).1 indexed citations
17.
Sun, Fengpeng, Daniel Walton, Scott B. Capps, et al.. (2012). Mid-Century Warming in the Los Angeles Region - Part I of the “Climate Change in the Los Angeles Region” projec. eScholarship (California Digital Library).4 indexed citations
Walton, Daniel. (2007). A Tiling Approach to Chebyshev Polynomials. Scholarship @ Claremont (The Claremont Colleges).5 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.