Mary Czerwinski

15.2k citations
242 papers · 9.8k indexed · 1 hit paper · h-index 59

Mary Czerwinski

234 papers receiving 9.1k citations

Hit Papers

A diary study of task switching and interruptions5452004202620112018100200300400500

Peers

Mary Czerwinski
Comparison fields: 5 of 144
  • Human-Computer Interaction 3.8k
  • Information Systems and Management 2.6k
  • Computer Vision and Pattern Recognition 2.9k
  • Applied Psychology 620
  • Computer Science Applications 590
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Anind K. Dey United States
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Citations per year

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).

Fields of papers citing papers by Mary Czerwinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Mary Czerwinski, 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 Mary Czerwinski Line = papers co-authored together Mary Czerwinski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20245
4 20249
5 20241
6 20241
7 20243
8 20244
9 20246
10 202317
11 20236
12 20231
13 20232
14 201817
15 20131
16
Proceedings of the 18th annual ACM symposium on User interface software and technology
20056
17
Notification, Disruption, and Memory: Effects of Messaging Interruptions on Memory and Performance.
2001244
18
Effective Notification Systems Depend on User Trust.
200114
19
Trends in Future Web Designs
19990
20 19936

About Mary Czerwinski

Mary Czerwinski is a scholar working on Human-Computer Interaction, Information Systems and Management and Applied Psychology, having authored 242 papers that have together received 9.8k indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (55 papers), Usability and User Interface Design (45 papers), Interactive and Immersive Displays (35 papers), Data Visualization and Analytics (34 papers), Innovative Human-Technology Interaction (27 papers), Digital Mental Health Interventions (24 papers), Emotion and Mood Recognition (16 papers) and Augmented Reality Applications (15 papers). The work is most often cited by research in Human-Computer Interaction (3.8k citations), Information Systems and Management (2.6k citations) and Computer Vision and Pattern Recognition (2.9k citations). Mary Czerwinski has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Eric Horvitz, Desney Tan, George Robertson, George G. Robertson, Kevin Larson, Asta Roseway, Greg Smith, Brian Meyers, Daniel McDuff and Gloria Mark. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, interactions, Information Visualization, IEEE Transactions on Visualization and Computer Graphics and International Journal of Human-Computer Studies.

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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