Dan Perkel
Impact in
- Communication top 5%
- Social Media and Politics
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
Papers in
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- Literacy, Media, and Education 5
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- Social Media and Politics 4
- Co-authors
- Christo Sims (2 shared papers)Patricia G. Lange (2 shared papers)Mizuko Ito (1 shared paper)Matteo Bittanti (1 shared paper)Becky Herr Stephenson (1 shared paper)Laura Robinson (1 shared paper)Sonja Baumer (1 shared paper)danah boyd (1 shared paper)
- Journals
- First Monday (1 paper)Computer Supported Collaborative Learning (1 paper)Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference (1 paper)London School of Economics and Political Science Research Online (London School of Economics and Political Science) (1 paper)Trabalhos em Linguística Aplicada (1 paper)
- Partner nations
- United States
In The Last Decade
Dan Perkel
10 papers receiving 271 citations
Peers
Comparison fields: 5 of 59
- Communication 94
- Human-Computer Interaction 37
- Computer Science Applications 29
- Literature and Literary Theory 52
- Sociology and Political Science 185
Countries citing papers authored by Dan Perkel
This map shows the geographic impact of Dan Perkel'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 Dan Perkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Perkel more than expected).
Fields of papers citing papers by Dan Perkel
This network shows the impact of papers produced by Dan Perkel. 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 Dan Perkel. The network helps show where Dan Perkel may publish in the future.
Co-authors
The 20 scholars most cited alongside Dan Perkel, 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 | 2009 | 184 | |
| 2 | 2005 | 62 | |
| 3 | 2010 | 37 | |
| 4 | Digital Media and Technology in Afterschool Programs, Libraries, and Museums | 2011 | 14 |
| 5 | 2016 | 8 | |
| 6 | Peer pedagogy in an interest-driven community: The practices and problems of online tutorials | 2008 | 6 |
| 7 | 2007 | 5 | |
| 8 | 2009 | 4 | |
| 9 | 2007 | 2 | |
| 10 | 2005 | 1 |
About Dan Perkel
Dan Perkel is a scholar working on Literature and Literary Theory, Communication, Sociology and Political Science, Education and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 323 indexed citations. Recurring topics across this work include Literacy, Media, and Education (5 papers), Social Media and Politics (4 papers), Impact of Technology on Adolescents (2 papers), Russian Literature and Bakhtin Studies (2 papers), Education and Technology Integration (2 papers), Augmented Reality Applications (2 papers), Interactive and Immersive Displays (1 paper) and Education and Digital Technologies (1 paper). The work is most often cited by research in Communication (94 citations), Human-Computer Interaction (37 citations), Computer Science Applications (29 citations), Literature and Literary Theory (52 citations) and Sociology and Political Science (185 citations). Dan Perkel has collaborated with scholars based in United States. Frequent co-authors include Christo Sims, Patricia G. Lange, Mizuko Ito, Matteo Bittanti, Becky Herr Stephenson, Laura Robinson, Sonja Baumer, danah boyd, Heather A. Horst and Simon King. Their work appears in journals such as First Monday, Computer Supported Collaborative Learning, Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference, London School of Economics and Political Science Research Online (London School of Economics and Political Science) and Trabalhos em Linguística Aplicada.
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.