Daniel T. Wagner
Impact in
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- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- IoT and Edge/Fog Computing
- Wireless Networks and Protocols
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
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- Opportunistic and Delay-Tolerant Networks 6
- Wireless Networks and Protocols 2
- Advanced Data Storage Technologies 2
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- Green IT and Sustainability 6
- Indoor and Outdoor Localization Technologies 1
- Co-authors
- Andrew Rice (7 shared papers)Ning Ding (2 shared papers)Alastair R. Beresford (4 shared papers)Y. Charlie Hu (2 shared papers)Abhinav Pathak (2 shared papers)Xiaomeng Chen (1 shared paper)Luciano M. Prevedello (1 shared paper)Ramsey Faragher (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (2 papers)Diagnostics (1 paper)PubMed (1 paper)Apollo (University of Cambridge) (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Daniel T. Wagner
10 papers receiving 301 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 182
- Transportation 46
- Computer Science Applications 25
- Human-Computer Interaction 20
- Electrical and Electronic Engineering 202
Countries citing papers authored by Daniel T. Wagner
This map shows the geographic impact of Daniel T. Wagner'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 Daniel T. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Wagner more than expected).
Fields of papers citing papers by Daniel T. Wagner
This network shows the impact of papers produced by Daniel T. Wagner. 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 Daniel T. Wagner. The network helps show where Daniel T. Wagner may publish in the future.
Co-authors
The 17 scholars most cited alongside Daniel T. Wagner, 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 | 2013 | 135 | |
| 2 | 2014 | 68 | |
| 3 | 2013 | 61 | |
| 4 | Device Analyzer: Large-scale mobile data collection | 2013 | 17 |
| 5 | 2023 | 14 | |
| 6 | Device Analyzer: Understanding Smartphone Usage | 2014 | 9 |
| 7 | 2015 | 5 | |
| 8 | 2015 | 3 | |
| 9 | [Cardiovascular diseases and sports]. | 1999 | 1 |
| 10 | 2014 | 1 |
About Daniel T. Wagner
Daniel T. Wagner is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 314 indexed citations. Recurring topics across this work include Green IT and Sustainability (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Wireless Networks and Protocols (2 papers), Advanced Data Storage Technologies (2 papers), Cardiovascular Effects of Exercise (1 paper), Context-Aware Activity Recognition Systems (1 paper), Underwater Vehicles and Communication Systems (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (182 citations), Transportation (46 citations), Computer Science Applications (25 citations), Human-Computer Interaction (20 citations) and Electrical and Electronic Engineering (202 citations). Daniel T. Wagner has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Andrew Rice, Ning Ding, Alastair R. Beresford, Y. Charlie Hu, Abhinav Pathak, Xiaomeng Chen, Luciano M. Prevedello, Ramsey Faragher, Kevin A. Peng and Engin Dikici. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Diagnostics, PubMed, Apollo (University of Cambridge) and Procedia Computer Science.
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.