Jon Sperling

1.2k citations
12 papers · 884 indexed · 1 hit paper · h-index 8

Impact in

Papers in

Jon Sperling

12 papers receiving 834 citations

Hit Papers

TwitterStand 2009 · 472 citations
4722009202620142020100200300400

Peers

Jon Sperling
Comparison fields: 5 of 73
  • Geography, Planning and Development 254
  • Signal Processing 294
  • Statistical and Nonlinear Physics 268
  • Transportation 105
  • Communication 94
Replace Shoko Wakamiya with:
Shoko Wakamiya Japan
Aditi Gupta India
Benjamin E. Teitler United States
Atefeh Farzindar Canada
Rebecca Goolsby United States
Gabriel Magno Brazil
Zi Chu United States
Jochen L. Leidner United Kingdom
Matteo Zignani Italy
Dan Liebling United States
Jon Sperling relative to Shoko Wakamiya Japan Shoko Wakamiya's profile →
Citations per field
00.5×3.7×
Shoko Wakamiya · 1×
Citations per year

Countries citing papers authored by Jon Sperling

Since Specialization
Citations

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).

Fields of papers citing papers by Jon Sperling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 14 scholars most cited alongside Jon Sperling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Sperling Line = papers co-authored together Jon Sperling links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
TwitterStand
Hit paper breakdown →
2009472
2 2008134
3 2017100
4 200775
5 201457
6 200917
7
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.
201713
8 20088
9
"The Impact of Multiple Geographies and Geographic Detail on Disclosure Risk: Interactions between Census Tract and ZIP Code Tabulation Geography"1
20014
10 20072
11 20171
12
Reading News with Maps: The Power of Searching with Spatial Synonyms
20121

About Jon Sperling

Jon Sperling is a scholar working on Geography, Planning and Development, Signal Processing, Health, Software and Information Systems, having authored 12 papers that have together received 884 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Geographic Information Systems Studies (6 papers), Semantic Web and Ontologies (3 papers), Health disparities and outcomes (3 papers), Web Data Mining and Analysis (3 papers), Food Security and Health in Diverse Populations (2 papers), Complex Network Analysis Techniques (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Geography, Planning and Development (254 citations), Signal Processing (294 citations), Statistical and Nonlinear Physics (268 citations), Transportation (105 citations) and Communication (94 citations). Jon Sperling has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Hanan Samet, Jagan Sankaranarayanan, Michael D. Lieberman, Benjamin E. Teitler, Daniele Panozzo, Patricia C. Lloyd, Alan E. Simon, Barry Steffen, Andrew Fenelon and Lauren M. Rossen. Their work appears in journals such as Communications of the ACM, American Journal of Public Health, International Journal for Population Data Science, International Conference on Digital Government Research and PubMed.

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.

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