Ted Grover
Impact in
- Communication top 10%
- Social Media and Politics
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- Sleep and related disorders
Papers in
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- Impact of Technology on Adolescents 2
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- Mental Health via Writing 3
- Human-Automation Interaction and Safety 1
- Co-authors
- Gloria Mark (12 shared papers)Stephen M. Mattingly (5 shared papers)Gonzalo J. Martinez (5 shared papers)Talayeh Aledavood (3 shared papers)Pablo Robles-Granda (3 shared papers)Aaron Striegel (4 shared papers)Eugenia Ha Rim Rho (1 shared paper)Kari Nies (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (1 paper)npj Digital Medicine (1 paper)Computer Supported Cooperative Work (CSCW) (1 paper)PLoS ONE (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Ted Grover
13 papers receiving 314 citations
Peers
Comparison fields: 5 of 82
- Communication 43
- Experimental and Cognitive Psychology 81
- Human-Computer Interaction 30
- Applied Psychology 26
- Information Systems and Management 30
Countries citing papers authored by Ted Grover
This map shows the geographic impact of Ted Grover'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 Ted Grover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Grover more than expected).
Fields of papers citing papers by Ted Grover
This network shows the impact of papers produced by Ted Grover. 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 Ted Grover. The network helps show where Ted Grover may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted Grover, 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 | 2021 | 70 | |
| 2 | 2019 | 45 | |
| 3 | 2020 | 41 | |
| 4 | 2019 | 35 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 23 | |
| 7 | 2019 | 23 | |
| 8 | 2021 | 21 | |
| 9 | 2017 | 17 | |
| 10 | 2022 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 0 |
About Ted Grover
Ted Grover is a scholar working on Sociology and Political Science, Social Psychology, Artificial Intelligence, Experimental and Cognitive Psychology and Information Systems and Management, having authored 14 papers that have together received 322 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (3 papers), Mental Health via Writing (3 papers), Impact of Technology on Adolescents (2 papers), Mental Health Research Topics (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Social Media and Politics (1 paper), Psychology of Moral and Emotional Judgment (1 paper) and Human-Automation Interaction and Safety (1 paper). The work is most often cited by research in Communication (43 citations), Experimental and Cognitive Psychology (81 citations), Human-Computer Interaction (30 citations), Applied Psychology (26 citations) and Information Systems and Management (30 citations). Ted Grover has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Gloria Mark, Stephen M. Mattingly, Gonzalo J. Martinez, Talayeh Aledavood, Pablo Robles-Granda, Aaron Striegel, Eugenia Ha Rim Rho, Kari Nies, Daniel McDuff and Jina Suh. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, npj Digital Medicine, Computer Supported Cooperative Work (CSCW), PLoS ONE and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.