Elena Agapie
- Human-Computer Interaction top 1%
- Applied Psychology top 5%
- Sociology and Political Science top 10%
- General Health Professions top 10%
- Demography top 5%
- Co-authors
- Sean A. MunsonJessica SchroederJames FogartyLaura R. PinaDaniel A. EpsteinJulie A. KientzJennifer KangSonali R. Mishra
- Topics
- Innovative Human-Technology Interaction (12 papers)Digital Mental Health Interventions (8 papers)Mobile Health and mHealth Applications (7 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Elena Agapie
26 papers receiving 718 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Human-Computer Interaction 321
- Applied Psychology 174
- Sociology and Political Science 170
- General Health Professions 143
- Demography 100
Countries citing papers authored by Elena Agapie
This map shows the geographic impact of Elena Agapie'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 Elena Agapie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Agapie more than expected).
Fields of papers citing papers by Elena Agapie
This network shows the impact of papers produced by Elena Agapie. 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 Elena Agapie. The network helps show where Elena Agapie may publish in the future.
Co-authorship network of co-authors of Elena Agapie
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Agapie. A scholar is included among the top collaborators of Elena Agapie 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 Elena Agapie. Elena Agapie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | Using Priorities of Hospitalized Patients and Their Caregivers to Develop Personas. | 7 |
| 11 | 2 | |
| 12 | HarborBot: A Chatbot for Social Needs Screening. | 22 |
| 13 | 19 | |
| 14 | 3 | |
| 15 | Examining Menstrual Tracking to Inform the Design of Personal Informatics Toolsbreakdown → | 241 |
| 16 | 36 | |
| 17 | 6 | |
| 18 | 39 | |
| 19 | Encouraging Behavior: A Foray into Persuasive Computing | 2 |
| 20 | Seeing Our Signals: Combining location traces and web-based models for personal discovery | 2 |
About Elena Agapie
Elena Agapie is a scholar working on Human-Computer Interaction, Applied Psychology and Computer Science Applications, having authored 27 papers that have together received 733 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (12 papers), Digital Mental Health Interventions (8 papers) and Mobile Health and mHealth Applications (7 papers). The work is most often cited by research in Human-Computer Interaction (321 citations), Applied Psychology (174 citations) and Computer Science Applications (69 citations). Elena Agapie has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Sean A. Munson, Jessica Schroeder, James Fogarty, Laura R. Pina, Daniel A. Epstein, Julie A. Kientz, Jennifer Kang, Sonali R. Mishra, Chia-Fang Chung and Gary Hsieh. Their work appears in journals such as interactions, Proceedings of the ACM on Human-Computer Interaction and JMIR Formative Research.
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.