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.
Overview of the ICESat Mission
2005683 citationsB. E. Schutz, H. Jay Zwally et al.Geophysical Research Lettersprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by J. P. Dimarzio
Since
Specialization
Citations
This map shows the geographic impact of J. P. Dimarzio'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 J. P. Dimarzio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. P. Dimarzio more than expected).
This network shows the impact of papers produced by J. P. Dimarzio. 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 J. P. Dimarzio. The network helps show where J. P. Dimarzio may publish in the future.
Co-authorship network of co-authors of J. P. Dimarzio
This figure shows the co-authorship network connecting the top 25 collaborators of J. P. Dimarzio.
A scholar is included among the top collaborators of J. P. Dimarzio 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 J. P. Dimarzio. J. P. Dimarzio is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brunt, Kelly M., T. Neumann, T. Markus, et al.. (2011). MABEL photon-counting altimetry data for ICESat-2 simulations. AGU Fall Meeting Abstracts. 2011.2 indexed citations
3.
Yi, Donghui, et al.. (2011). Sensitivity Of Elevations Observed By Satellite Radar Altimeter Over Ice Sheets To Variations In Backscatter Power And Derived Corrections. ESASP. 693. 13.3 indexed citations
4.
Dimarzio, J. P., et al.. (2011). NASA's Long-Term Archive (LTA) of ICESat Data at the National Snow and Ice Data Center (NSIDC). AGU Fall Meeting Abstracts. 2011.1 indexed citations
5.
Shuman, C. A., et al.. (2009). Empirical Correction of Residual Error in the ICESat-1 Altimetry Time Series at Lake Vostok. AGUFM. 2009.2 indexed citations
Schutz, B. E., H. Jay Zwally, Christopher A. Shuman, D. W. Hancock, & J. P. Dimarzio. (2005). Overview of the ICESat Mission. Geophysical Research Letters. 32(21).683 indexed citations breakdown →
10.
Dimarzio, J. P., Anita C. Brenner, H. A. Fricker, et al.. (2005). Digital Elevation Models of the Antarctic and Greenland Ice Sheets from ICESat. AGUFM. 2005.1 indexed citations
Zwally, H. Jay, Anita C. Brenner, & J. P. Dimarzio. (1998). Ice Surface Elevation Changes in East Antarctica from Satellite Altimetry. NASA Technical Reports Server (NASA). 60 Suppl 10. 773–8.
Brenner, Anita C., et al.. (1997). Topography over South America from ERS altimetry. NASA Technical Reports Server (NASA). 414. 409–414.1 indexed citations
15.
Zwally, H. Jay, et al.. (1994). Ice sheet topography from retracked ERS-1 altimetry.8 indexed citations
16.
Lingle, Craig S., Anita C. Brenner, H. Jay Zwally, & J. P. Dimarzio. (1991). Multi-year elevation changes near the west margin of the Greenland ice sheet from satellite radar altimetry. NASA Technical Reports Server (NASA). 1.3 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.