Jon Sperling

1.2k citations
12 papers · 890 · 1 hit paper · h-index 8

Impact in

Papers in

Jon Sperling

12 papers receiving 841 citations

Jon Sperling's Hit Papers

TwitterStand 2009 · 473 citations
4730+5+11Years since publication100200300400

Peers

Jon Sperling
Comparison fields: 5 of 70
  • Geography, Planning and Development 253
  • Signal Processing 293
  • Statistical and Nonlinear Physics 269
  • Transportation 103
  • Communication 95
Replace Shoko Wakamiya with:
Shoko Wakamiya Japan
Benjamin E. Teitler United States
Aditi Gupta India
Siva Gurumurthy United States
Atefeh Farzindar Canada
Gabriel Magno Brazil
Hemank Lamba United States
Anuj Jaiswal United States
Jochen L. Leidner United Kingdom
Matteo Zignani Italy
Jon Sperling relative to Shoko Wakamiya Japan Shoko Wakamiya's profile →
Citations per field
00.5×3.6×
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 →
2009473
2 2008134
3 2017104
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 20172
12
Reading News with Maps: The Power of Searching with Spatial Synonyms
20121

About Jon Sperling

Jon Sperling is a scholar working on Signal Processing, Geography, Planning and Development, Information Systems, Artificial Intelligence and Health, having authored 12 papers that have together received 890 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Geographic Information Systems Studies (6 papers), Web Data Mining and Analysis (3 papers), Semantic Web and Ontologies (3 papers), Health disparities and outcomes (2 papers), Food Security and Health in Diverse Populations (2 papers), Spreadsheets and End-User Computing (1 paper) and Public Health Policies and Education (1 paper). The work is most often cited by research in Geography, Planning and Development (253 citations), Signal Processing (293 citations), Statistical and Nonlinear Physics (269 citations), Transportation (103 citations) and Communication (95 citations). Jon Sperling has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jagan Sankaranarayanan, Hanan Samet, Michael D. Lieberman, Benjamin E. Teitler, Daniele Panozzo, Patricia C. Lloyd, Barry Steffen, Alan E. Simon, Andrew Fenelon and Lauren M. Rossen. Their work appears in journals such as International Journal for Population Data Science, American Journal of Public Health, Communications of the ACM, PubMed and International Conference on Digital Government Research.

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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