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.
PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
2009481 citationsMin Mun, Sasank Reddy 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 Katie Shilton'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 Katie Shilton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katie Shilton more than expected).
This network shows the impact of papers produced by Katie Shilton. 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 Katie Shilton. The network helps show where Katie Shilton may publish in the future.
Co-authorship network of co-authors of Katie Shilton
This figure shows the co-authorship network connecting the top 25 collaborators of Katie Shilton.
A scholar is included among the top collaborators of Katie Shilton 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 Katie Shilton. Katie Shilton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mun, Min, Katie Shilton, Jeff Burke, et al.. (2009). Personal Data Vault: A Privacy Architecture for Mobile Personal Sensing. eScholarship (California Digital Library).
14.
Shilton, Katie, Jeffrey A Burke, Deborah Estrin, et al.. (2009). Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing. ScholarWorks@UMassAmherst (University of Massachusetts Amherst).13 indexed citations
Shilton, Katie, Jeffrey A Burke, Deborah Estrin, Mark Hansen, & Mani Srivastava. (2008). Achieving Participatory Privacy Regulation: Guidelines for CENS Urban Sensing. Center for Embedded Network Sensing. 18(7-12). 248–56.4 indexed citations
19.
Shilton, Katie. (2007). Privacy and Participation in Urban Sensing. eScholarship (California Digital Library).1 indexed citations
20.
Shilton, Katie & Ramesh Srinivasan. (2007). Participatory Appraisal and Arrangement for Multicultural Archival Collections. Archivaria. 63(63). 87–101.87 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.