Anind K. Dey
- Human-Computer Interaction top 0.1%
- Innovative Human-Technology Interaction 19
- Interactive and Immersive Displays 9
- Usability and User Interface Design 7
- Gaze Tracking and Assistive Technology 2
- Persona Design and Applications 2
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- Personal Information Management and User Behavior 4
- Applied Psychology top 5%
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- Context-Aware Activity Recognition Systems 7
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- Technology Use by Older Adults 3
- Co-authors
- Jodi ForlizziIan LiScott LedererJin-Hyuk HongJennifer MankoffGary HsiehMorgan G. AmesJulie A. Kientz
- Journals
- Information Fusion (1 paper)Journal of Systems and Software (1 paper)ACM Transactions on Computer-Human Interaction (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Anind K. Dey
29 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Human-Computer Interaction 1.3k
- Information Systems and Management 262
- Applied Psychology 189
- Computer Vision and Pattern Recognition 493
- Computer Science Applications 122
Countries citing papers authored by Anind K. Dey
This map shows the geographic impact of Anind K. Dey'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 Anind K. Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anind K. Dey more than expected).
Fields of papers citing papers by Anind K. Dey
This network shows the impact of papers produced by Anind K. Dey. 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 Anind K. Dey. The network helps show where Anind K. Dey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anind K. Dey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 4 | |
| 2 | 2018 | 14 | |
| 3 | 2016 | 151 | |
| 4 | 2015 | 25 | |
| 5 | 2014 | 130 | |
| 6 | 2014 | 14 | |
| 7 | 2012 | 7 | |
| 8 | 2012 | 69 | |
| 9 | 2012 | 66 | |
| 10 | “The Social Car”: Workshop on socially-inspired C2X interaction | 2012 | 1 |
| 11 | Understanding my data, myselfbreakdown → | 2011 | 350 |
| 12 | 2011 | 54 | |
| 13 | 2011 | 2 | |
| 14 | 2008 | 58 | |
| 15 | 2007 | 114 | |
| 16 | Ambient Interfaces that Motivate Changes in Human Behavior. | 2007 | 6 |
| 17 | 2007 | 6 | |
| 18 | 2004 | 35 | |
| 19 | 2004 | 193 | |
| 20 | 2003 | 357 |
About Anind K. Dey
Anind K. Dey is a scholar working on Human-Computer Interaction, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (19 papers), Interactive and Immersive Displays (9 papers), Context-Aware Activity Recognition Systems (7 papers), Usability and User Interface Design (7 papers), Personal Information Management and User Behavior (4 papers), Technology Use by Older Adults (3 papers), Gaze Tracking and Assistive Technology (2 papers) and Persona Design and Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (1.3k citations), Information Systems and Management (262 citations) and Applied Psychology (189 citations). Anind K. Dey has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jodi Forlizzi, Ian Li, Scott Lederer, Jin-Hyuk Hong, Jennifer Mankoff, Gary Hsieh, Morgan G. Ames, Julie A. Kientz, Hongyi Wen and Scott Davidoff. Their work appears in journals such as Information Fusion, Journal of Systems and Software and ACM Transactions on Computer-Human Interaction.
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.