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.
A diary study of task switching and interruptions
2004545 citationsMary Czerwinski, Eric Horvitz et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Mary Czerwinski
Since
Specialization
Citations
This map shows the geographic impact of Mary Czerwinski'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 Mary Czerwinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Czerwinski more than expected).
This network shows the impact of papers produced by Mary Czerwinski. 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 Mary Czerwinski. The network helps show where Mary Czerwinski may publish in the future.
Co-authorship network of co-authors of Mary Czerwinski
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Czerwinski.
A scholar is included among the top collaborators of Mary Czerwinski 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 Mary Czerwinski. Mary Czerwinski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tarafdar, Monideepa, Ashish Gupta, Ofir Turel, & Mary Czerwinski. (2012). THE DIGITAL FUTURE: REFLECTING ON THE “DARK SIDE ” OF INFORMATION TECHNOLOGY USE. Lancaster EPrints (Lancaster University).1 indexed citations
9.
Choudhury, Munmun De, et al.. (2011). Find Me the Right Content! Diversity-based Sampling of Social Media Content for Topic-centric Search.. National Conference on Artificial Intelligence.1 indexed citations
Robertson, George, Mary Czerwinski, Patrick Baudisch, et al.. (2005). Large Display User Experience. IEEE Computer Graphics and Applications.17 indexed citations
Czerwinski, Mary, et al.. (2003). Toward Characterizing the Productivity Benefits of Very Large Displays. International Conference on Human-Computer Interaction.155 indexed citations
15.
LeeTiernan, Scott, Edward Cutrell, Mary Czerwinski, & Hunter G. Hoffman. (2001). Effective Notification Systems Depend on User Trust.. International Conference on Human-Computer Interaction. 684–685.14 indexed citations
16.
Liu, Wenyin, et al.. (2001). Semi-Automatic Image Annotation.. International Conference on Human-Computer Interaction. 326–333.92 indexed citations
17.
Cutrell, Edward, Mary Czerwinski, & Eric Horvitz. (2001). Notification, Disruption, and Memory: Effects of Messaging Interruptions on Memory and Performance.. International Conference on Human-Computer Interaction. 263–269.244 indexed citations
18.
Czerwinski, Mary, Maarten van Dantzich, George G. Robertson, & Hunter G. Hoffman. (1999). The Contribution of Thumbnail Image, Mouse-over Text and Spatial Location Memory to Web Page Retrieval in 3D.. International Conference on Human-Computer Interaction. 163–170.83 indexed citations
19.
Czerwinski, Mary. (1999). Research Methods for Next Generation HCI. International Conference on Human-Computer Interaction. 1103–1107.
20.
Nguyễn, Trung Thành, Mary Czerwinski, & Dan Lee. (1993). COMPAQ QuickSource: Providing the Consumer with the Power of Artificial Intelligence. Innovative Applications of Artificial Intelligence. 142–151.17 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.