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.
Heat flow from the Earth's interior: Analysis of the global data set
19931.1k citationsHenry N. Pollack, Suzanne Hurter et al.profile →
On the regional variation of heat flow, geotherms, and lithospheric thickness
1977864 citationsHenry N. Pollack, David S. ChapmanTectonophysicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Henry N. Pollack
Since
Specialization
Citations
This map shows the geographic impact of Henry N. Pollack'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 Henry N. Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry N. Pollack more than expected).
Fields of papers citing papers by Henry N. Pollack
This network shows the impact of papers produced by Henry N. Pollack. 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 Henry N. Pollack. The network helps show where Henry N. Pollack may publish in the future.
Co-authorship network of co-authors of Henry N. Pollack
This figure shows the co-authorship network connecting the top 25 collaborators of Henry N. Pollack.
A scholar is included among the top collaborators of Henry N. Pollack 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 Henry N. Pollack. Henry N. Pollack 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.
Pollack, Henry N.. (2009). A World Without Ice.8 indexed citations
Chapman, David S., et al.. (2006). Surface Temperature Reconstructions for the Last Five Centuries From Borehole Temperature Profiles. AGU Fall Meeting Abstracts. 2006.
Smerdon, Jason E., Henry N. Pollack, Milan Krešl, & John F. Wehmiller. (2003). Conductive Transport of Annual Temperature Signals in Variable Subsurface Media and Regional Analyses of Seasonal Decoupling Between Air and Ground Surface Temperatures. AGUFM. 2003.1 indexed citations
7.
Smerdon, Jason E., Myles Lewis, Henry N. Pollack, & John W. Enz. (2002). Spectral analysis of air and ground temperatures at Fargo, North Dakota: conduction dominated propagation of the annual frequency signal. AGUFM. 2002.1 indexed citations
8.
Huang, Shan & Henry N. Pollack. (2002). Borehole Temperature Observations Compared to Synthetic Subsurface Temperatures Generated by Proxy Climate Reconstructions. AGU Fall Meeting Abstracts. 2002.1 indexed citations
9.
Smerdon, Jason E., et al.. (2001). Continental Heat Gain in the Global Climate System. AGUFM. 2001.1 indexed citations
Pollack, Henry N.. (1978). Energetics of geological processes. Physics of The Earth and Planetary Interiors. 17(2). 188–189.7 indexed citations
18.
Pollack, Henry N. & David S. Chapman. (1977). On the regional variation of heat flow, geotherms, and lithospheric thickness. Tectonophysics. 38(3-4). 279–296.864 indexed citations breakdown →
19.
Pollack, Henry N. & David S. Chapman. (1977). Mantle heat flow. Earth and Planetary Science Letters. 34(2). 174–184.106 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.