Amy Voida
Impact in
- Human-Computer Interaction top 0.5%
- Innovative Human-Technology Interaction
- Communication top 2%
- Social Media and Politics
Papers in
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- Innovative Human-Technology Interaction 19
-
- Social Media and Politics 6
- Co-authors
- Saul GreenbergEllie HarmonElizabeth D. MynattMatthias KornBan Al-AniStephen VoidaRebecca E. GrinterRobert J. Walker
- Journals
- Proceedings of the ACM on Human-Computer Interaction (7 papers)ACM Transactions on Computer-Human Interaction (3 papers)interactions (2 papers)ACM Transactions on Computing Education (2 papers)International Journal of Social Robotics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Amy Voida
62 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Human-Computer Interaction 717
- Communication 225
- Computer Science Applications 167
- Information Systems and Management 188
- Neuropsychology and Physiological Psychology 35
Countries citing papers authored by Amy Voida
This map shows the geographic impact of Amy Voida'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 Amy Voida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Voida more than expected).
Fields of papers citing papers by Amy Voida
This network shows the impact of papers produced by Amy Voida. 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 Amy Voida. The network helps show where Amy Voida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amy Voida, 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 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 7 | |
| 10 | 2017 | 19 | |
| 11 | 2017 | 40 | |
| 12 | 2016 | 7 | |
| 13 | 2016 | 3 | |
| 14 | 2014 | 76 | |
| 15 | 2011 | 47 | |
| 16 | 2010 | 6 | |
| 17 | 2010 | 24 | |
| 18 | 2010 | 44 | |
| 19 | 2009 | 5 | |
| 20 | 2009 | 1 |
About Amy Voida
Amy Voida is a scholar working on Human-Computer Interaction, Communication, Computer Science Applications, Public Administration and Information Systems and Management, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (19 papers), Information Systems Theories and Implementation (10 papers), Digital Games and Media (8 papers), E-Government and Public Services (8 papers), Personal Information Management and User Behavior (7 papers), Social Media and Politics (6 papers), ICT in Developing Communities (6 papers) and Impact of Technology on Adolescents (6 papers). The work is most often cited by research in Human-Computer Interaction (717 citations), Communication (225 citations), Computer Science Applications (167 citations), Information Systems and Management (188 citations) and Neuropsychology and Physiological Psychology (35 citations). Amy Voida has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Saul Greenberg, Ellie Harmon, Elizabeth D. Mynatt, Matthias Korn, Ban Al-Ani, Stephen Voida, Rebecca E. Grinter, Robert J. Walker, Lynn Dombrowski and Gillian R. Hayes. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Computer-Human Interaction, interactions, ACM Transactions on Computing Education and International Journal of Social Robotics.
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.