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.
Inferring Activities from Interactions with Objects
2004583 citationsMatthai Philipose, K.P. Fishkin et al.IEEE Pervasive Computingprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by Mike Perkowitz
Since
Specialization
Citations
This map shows the geographic impact of Mike Perkowitz'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 Mike Perkowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Perkowitz more than expected).
This network shows the impact of papers produced by Mike Perkowitz. 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 Mike Perkowitz. The network helps show where Mike Perkowitz may publish in the future.
Co-authorship network of co-authors of Mike Perkowitz
This figure shows the co-authorship network connecting the top 25 collaborators of Mike Perkowitz.
A scholar is included among the top collaborators of Mike Perkowitz 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 Mike Perkowitz. Mike Perkowitz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
19 of 19 papers shown
1.
Philipose, Matthai, et al.. (2013). The Probabilistic Activity Toolkit: Towards Enabling Activity Aware Computer Interfaces.
2.
Perkowitz, Mike, et al.. (2010). Annotating Large Email Datasets for Named Entity Recognition with Mechanical Turk. North American Chapter of the Association for Computational Linguistics. 71–79.36 indexed citations
3.
Patterson, Donald J., Dieter Fox, Henry Kautz, et al.. (2004). Contextual computer support for human activity. National Conference on Artificial Intelligence.3 indexed citations
4.
Philipose, Matthai, K.P. Fishkin, Mike Perkowitz, et al.. (2004). Inferring Activities from Interactions with Objects. IEEE Pervasive Computing. 3(4). 50–57.583 indexed citations breakdown →
Fishkin, Kenneth P., Henry Kautz, Donald J. Patterson, Mike Perkowitz, & Matthai Philipose. (2003). Guide: Towards Understanding Daily Life via Auto- Identification and Statistical Analysis.25 indexed citations
7.
Perkowitz, Mike. (2001). Adaptive Web Site : Cluster Mining and Conceptual Clustering for Index Page Synthesis. Medical Entomology and Zoology.1 indexed citations
8.
Perkowitz, Mike & Oren Etzioni. (2001). Adaptive web sites: cluster mining and conceptual clustering for index page synthesis. 1–1.12 indexed citations
Perkowitz, Mike & Oren Etzioni. (1998). Adaptive Web sites: automatically synthesizing Web pages. National Conference on Artificial Intelligence. 727–732.159 indexed citations
14.
Perkowitz, Mike & Oren Etzioni. (1997). Adaptive web sites: an AI challenge. International Joint Conference on Artificial Intelligence. 16–21.137 indexed citations
15.
Perkowitz, Mike, et al.. (1997). Adaptive Sites: Automatically Learning from User Access Patterns.20 indexed citations
Perkowitz, Mike & Oren Etzioni. (1995). Category Translation: Learning to Understand Information on the Internet.. International Joint Conference on Artificial Intelligence. 0–936.66 indexed citations
18.
Perkowitz, Mike & Oren Etzioni. (1994). Database learning for software agents. National Conference on Artificial Intelligence. 1485–1485.2 indexed citations
19.
Charniak, Eugene, et al.. (1993). Equations for part-of-speech tagging. National Conference on Artificial Intelligence. 784–789.118 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.