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.
TwitterStand
2009472 citationsJagan Sankaranarayanan, Hanan Samet et al.profile →
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 Sperling'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 Sperling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Sperling more than expected).
This network shows the impact of papers produced by Jon Sperling. 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 Sperling. The network helps show where Jon Sperling may publish in the future.
Co-authorship network of co-authors of Jon Sperling
This figure shows the co-authorship network connecting the top 25 collaborators of Jon Sperling.
A scholar is included among the top collaborators of Jon Sperling 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 Sperling. Jon Sperling is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lloyd, Patricia C., Alan E. Simon, Lisa B. Mirel, et al.. (2017). Linkage of 1999-2012 National Health Interview Survey and National Health and Nutrition Examination Survey Data to U.S. Department of Housing and Urban Development Administrative Records.. PubMed. 1–40.13 indexed citations
Samet, Hanan, Benjamin E. Teitler, Michael D. Lieberman, et al.. (2012). Reading News with Maps: The Power of Searching with Spatial Synonyms.1 indexed citations
6.
Lieberman, Michael D., Hanan Samet, Jagan Sankaranarayanan, & Jon Sperling. (2009). Spatio-textual spreadsheets. 524–527.17 indexed citations
7.
Sankaranarayanan, Jagan, Hanan Samet, Benjamin E. Teitler, Michael D. Lieberman, & Jon Sperling. (2009). TwitterStand. 42–51.472 indexed citations breakdown →
8.
Teitler, Benjamin E., Michael D. Lieberman, Daniele Panozzo, et al.. (2008). NewsStand. 1–10.134 indexed citations
Lieberman, Michael D., Hanan Samet, Jagan Sankaranarayanan, & Jon Sperling. (2007). STEWARD. 1–8.75 indexed citations
12.
Sperling, Jon, et al.. (2001). "The Impact of Multiple Geographies and Geographic Detail on Disclosure Risk: Interactions between Census Tract and ZIP Code Tabulation Geography"1.4 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.