Moo-Ryong Ra
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Age of Information Optimization
Papers in
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- Caching and Content Delivery 11
- Advanced Data Storage Technologies 8
- IoT and Edge/Fog Computing 5
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- Cloud Computing and Resource Management 6
- Cloud Data Security Solutions 3
- Co-authors
- Ramesh Govindan (7 shared papers)Yi‐Hsuan Kao (2 shared papers)Fan Bai (2 shared papers)Bhaskar Krishnamachari (2 shared papers)T.F. La Porta (2 shared papers)Bin Liu (1 shared paper)Anmol Sheth (1 shared paper)Lily Mummert (1 shared paper)
- Journals
- IEEE Internet Computing (2 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)Journal of Planning Education and Research (1 paper)IEEE Transactions on Mobile Computing (1 paper)Journal of Urban Technology (1 paper)
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Moo-Ryong Ra
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 57
- Computer Science Applications 276
- Computer Networks and Communications 939
- Transportation 146
- Information Systems 336
- Computer Vision and Pattern Recognition 262
Countries citing papers authored by Moo-Ryong Ra
This map shows the geographic impact of Moo-Ryong Ra'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 Moo-Ryong Ra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moo-Ryong Ra more than expected).
Fields of papers citing papers by Moo-Ryong Ra
This network shows the impact of papers produced by Moo-Ryong Ra. 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 Moo-Ryong Ra. The network helps show where Moo-Ryong Ra may publish in the future.
Co-authors
The 25 scholars most cited alongside Moo-Ryong Ra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 289 | |
| 2 | 2012 | 253 | |
| 3 | 2010 | 195 | |
| 4 | 2017 | 188 | |
| 5 | 2016 | 99 | |
| 6 | 2015 | 68 | |
| 7 | 2019 | 48 | |
| 8 | 2012 | 40 | |
| 9 | 2019 | 17 | |
| 10 | 2010 | 9 | |
| 11 | 2017 | 7 | |
| 12 | 2009 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2015 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2016 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2017 | 2 |
About Moo-Ryong Ra
Moo-Ryong Ra is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Caching and Content Delivery (11 papers), Advanced Data Storage Technologies (8 papers), Cloud Computing and Resource Management (6 papers), IoT and Edge/Fog Computing (5 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Privacy-Preserving Technologies in Data (3 papers), Cloud Data Security Solutions (3 papers) and Human Mobility and Location-Based Analysis (3 papers). The work is most often cited by research in Computer Science Applications (276 citations), Computer Networks and Communications (939 citations), Transportation (146 citations), Information Systems (336 citations) and Computer Vision and Pattern Recognition (262 citations). Moo-Ryong Ra has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Ramesh Govindan, Yi‐Hsuan Kao, Fan Bai, Bhaskar Krishnamachari, T.F. La Porta, Bin Liu, Anmol Sheth, Lily Mummert, Padmanabhan Pillai and David Wetherall. Their work appears in journals such as IEEE Internet Computing, IEEE Transactions on Parallel and Distributed Systems, Journal of Planning Education and Research, IEEE Transactions on Mobile Computing and Journal of Urban Technology.
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.