Daniela Retelny
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction
Papers in
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- Online and Blended Learning 2
- Child Development and Digital Technology 2
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- Mobile Crowdsensing and Crowdsourcing 3
- Open Source Software Innovations 3
- Co-authors
- Michael S. Bernstein (3 shared papers)Melissa Valentine (3 shared papers)Tulsee Doshi (2 shared papers)Alexandra To (2 shared papers)Negar Rahmati (2 shared papers)Geri Gay (3 shared papers)John P. Pollak (2 shared papers)Sahara Byrne (2 shared papers)
- Journals
- Journal of Children and Media (1 paper)IEEE Pervasive Computing (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)
- Partner nations
- United StatesIreland
In The Last Decade
Daniela Retelny
10 papers receiving 537 citations
Peers
Comparison fields: 5 of 68
- Computer Science Applications 197
- Human-Computer Interaction 163
- Applied Psychology 58
- Information Systems and Management 51
- Communication 49
Countries citing papers authored by Daniela Retelny
This map shows the geographic impact of Daniela Retelny'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 Daniela Retelny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Retelny more than expected).
Fields of papers citing papers by Daniela Retelny
This network shows the impact of papers produced by Daniela Retelny. 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 Daniela Retelny. The network helps show where Daniela Retelny may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniela Retelny, 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 | 2014 | 157 | |
| 2 | 2017 | 102 | |
| 3 | 2012 | 93 | |
| 4 | 2010 | 88 | |
| 5 | 2017 | 48 | |
| 6 | 2011 | 41 | |
| 7 | 2015 | 16 | |
| 8 | 2016 | 11 | |
| 9 | 2012 | 6 | |
| 10 | 2013 | 5 |
About Daniela Retelny
Daniela Retelny is a scholar working on Education, Computer Science Applications, Sociology and Political Science, Human-Computer Interaction and General Health Professions, having authored 10 papers that have together received 567 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (3 papers), Innovative Human-Technology Interaction (3 papers), Open Source Software Innovations (3 papers), Online and Blended Learning (2 papers), Mobile Health and mHealth Applications (2 papers), Impact of Technology on Adolescents (2 papers), Child Development and Digital Technology (2 papers) and Human-Animal Interaction Studies (1 paper). The work is most often cited by research in Computer Science Applications (197 citations), Human-Computer Interaction (163 citations), Applied Psychology (58 citations), Information Systems and Management (51 citations) and Communication (49 citations). Daniela Retelny has collaborated with scholars based in United States and Ireland. Frequent co-authors include Michael S. Bernstein, Melissa Valentine, Tulsee Doshi, Alexandra To, Negar Rahmati, Geri Gay, John P. Pollak, Sahara Byrne, Walter S. Lasecki and Jay Patel. Their work appears in journals such as Journal of Children and Media, IEEE Pervasive Computing and Proceedings of the ACM on Human-Computer 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.