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.
The Mobile Sensing Platform: An Embedded Activity Recognition System
2008424 citationsGaetano Borriello, Sunny Consolvo et al.IEEE Pervasive Computingprofile →
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 Danny Wyatt'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 Danny Wyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Wyatt more than expected).
This network shows the impact of papers produced by Danny Wyatt. 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 Danny Wyatt. The network helps show where Danny Wyatt may publish in the future.
Co-authorship network of co-authors of Danny Wyatt
This figure shows the co-authorship network connecting the top 25 collaborators of Danny Wyatt.
A scholar is included among the top collaborators of Danny Wyatt 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 Danny Wyatt. Danny Wyatt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Borriello, Gaetano, Sunny Consolvo, Dirk Haehnel, et al.. (2008). The Mobile Sensing Platform: An Embedded Activity Recognition System. IEEE Pervasive Computing. 7(2). 32–41.424 indexed citations breakdown →
7.
Wyatt, Danny, Tanzeem Choudhury, Jeff Bilmes, & Henry Kautz. (2007). A privacy-sensitive approach to modeling multi-person conversations. 1769–1775.25 indexed citations
Choudhury, Tanzeem, Matthai Philipose, Danny Wyatt, & Jonathan Lester. (2006). Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives.. IEEE Data(base) Engineering Bulletin. 29. 49–58.46 indexed citations
11.
Wyatt, Danny, Matthai Philipose, & Tanzeem Choudhury. (2005). Unsupervised activity recognition using automatically mined common sense. National Conference on Artificial Intelligence. 21–27.148 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.