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.
Was there a basis for anticipating the 2010 Russian heat wave?
2011561 citationsRandall M. Dole, Martin P. Hoerling et al.Geophysical Research Lettersprofile →
Online Rainfall Atlas of Hawai‘i
2012554 citationsJon Eischeid et al.Bulletin of the American Meteorological Societyprofile →
On the Increased Frequency of Mediterranean Drought
2011509 citationsMartin P. Hoerling, Jon Eischeid et al.Journal of Climateprofile →
Causes and Predictability of the 2012 Great Plains Drought
2013419 citationsMartin P. Hoerling, Jon Eischeid et al.Bulletin of the American Meteorological Societyprofile →
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 Jon Eischeid'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 Jon Eischeid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Eischeid more than expected).
This network shows the impact of papers produced by Jon Eischeid. 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 Jon Eischeid. The network helps show where Jon Eischeid may publish in the future.
Co-authorship network of co-authors of Jon Eischeid
This figure shows the co-authorship network connecting the top 25 collaborators of Jon Eischeid.
A scholar is included among the top collaborators of Jon Eischeid 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 Jon Eischeid. Jon Eischeid is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Livneh, Ben, et al.. (2015). Assessing Causes of Hydrologic Climate Extremes in the Upper Missouri Basin. AGU Fall Meeting Abstracts. 2015.2 indexed citations
8.
Hoerling, Martin P., et al.. (2015). How Has Human-induced Climate Change Affected California Drought Risk?. AGU Fall Meeting Abstracts. 2015.1 indexed citations
Hoerling, Martin P., Klaus Wolter, Judith Perlwitz, et al.. (2015). Northeast Colorado Extreme Rains Interpreted in a Climate Change Context. NASA Technical Reports Server (NASA).20 indexed citations
Hoerling, Martin P., Jon Eischeid, Arun Kumar, et al.. (2013). Causes and Predictability of the 2012 Great Plains Drought. Bulletin of the American Meteorological Society. 95(2). 269–282.419 indexed citations breakdown →
13.
Hoerling, Martin P., Jon Eischeid, Judith Perlwitz, et al.. (2011). On the Increased Frequency of Mediterranean Drought. Journal of Climate. 25(6). 2146–2161.509 indexed citations breakdown →
Vose, Russell S., Richard L. Schmoyer, T. C. Peterson, et al.. (1992). The global historical climatology network: Long-term monthly temperature, precipitation, and pressure data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).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.