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.
On the use of a coordinate transformation for the solution of the Navier-Stokes equations
1975490 citationsRichard C. J. Somerville et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Richard C. J. Somerville
Since
Specialization
Citations
This map shows the geographic impact of Richard C. J. Somerville'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 Richard C. J. Somerville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard C. J. Somerville more than expected).
Fields of papers citing papers by Richard C. J. Somerville
This network shows the impact of papers produced by Richard C. J. Somerville. 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 Richard C. J. Somerville. The network helps show where Richard C. J. Somerville may publish in the future.
Co-authorship network of co-authors of Richard C. J. Somerville
This figure shows the co-authorship network connecting the top 25 collaborators of Richard C. J. Somerville.
A scholar is included among the top collaborators of Richard C. J. Somerville 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 Richard C. J. Somerville. Richard C. J. Somerville is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Ramanathan, V., Roger D. Aines, Maximilian Auffhammer, et al.. (2019). Bending the Curve: Climate Change Solutions. eScholarship (California Digital Library).1 indexed citations
2.
Shen, Samuel S. P. & Richard C. J. Somerville. (2019). Climate Mathematics. Cambridge University Press eBooks.8 indexed citations
Kooperman, Gabriel J., Michael S. Pritchard, & Richard C. J. Somerville. (2014). The Response of US Summer Rainfall to Quadrupled CO 2 Climate Change in Conventional and Superparameterized Versions of the NCAR Community Atmosphere Model. eScholarship (California Digital Library). 2014.1 indexed citations
Somerville, Richard C. J.. (2010). The Co-evolution of Climate Models and the Intergovernmental Panel on Climate Change. AGUFM. 2010.2 indexed citations
Somerville, Richard C. J., et al.. (2007). Historical overview of climate change science.84 indexed citations
10.
Somerville, Richard C. J.. (2005). Aloha Betrayed: Native Hawaiian Resistance to American Colonialism. Journalism & Mass Communication Quarterly. 31(1). 55.2 indexed citations
Somerville, Richard C. J., et al.. (2000). Apparent Multi-Decadal Trend in Shortwave Cloud Forcing Over the Tropical Pacific. University of North Texas Digital Library (University of North Texas).1 indexed citations
Stone, Peter H., et al.. (1975). Seasonal changes in the atmospheric heat balance simulated by the GISS general circulation model. NASA Technical Reports Server (NASA).1 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.