D. Levine
Impact in
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- Mobile Agent-Based Network Management
- Peer-to-Peer Network Technologies
- Network Security and Intrusion Detection
- Distributed systems and fault tolerance
- Health Informatics top 10%
Papers in
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- Distributed systems and fault tolerance 2
- Peer-to-Peer Network Technologies 2
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- Context-Aware Activity Recognition Systems 2
- Co-authors
- David M. Chess (1 shared paper)Colin Harrison (1 shared paper)Benjamin N. Grosof (1 shared paper)Colin Parris (1 shared paper)Gene Tsudik (1 shared paper)Sajal K. Das (1 shared paper)Mohan Kumar (1 shared paper)Behrooz Shirazi (1 shared paper)
- Journals
- JMIR Medical Education (1 paper)IEEE Pervasive Computing (1 paper)BMJ Global Health (1 paper)IEEE Communications Magazine (1 paper)IEEE Internet Computing (1 paper)
- Partner nations
- United StatesUnited KingdomLiberia
In The Last Decade
D. Levine
11 papers receiving 397 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 363
- Health Informatics 11
- Information Systems 133
- Artificial Intelligence 135
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by D. Levine
This map shows the geographic impact of D. Levine'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 D. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Levine more than expected).
Fields of papers citing papers by D. Levine
This network shows the impact of papers produced by D. Levine. 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 D. Levine. The network helps show where D. Levine may publish in the future.
Co-authors
The 20 scholars most cited alongside D. Levine, 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 | 1995 | 311 | |
| 2 | 2003 | 85 | |
| 3 | 2023 | 21 | |
| 4 | 2010 | 10 | |
| 5 | 2024 | 9 | |
| 6 | 2006 | 6 | |
| 7 | 2005 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 1 | |
| 10 | A broker and job advertisement based Grid scheduling framework | 2006 | 1 |
| 11 | LARGE SCALE INTELLIGENT TRANSPORTATION SYSTEMS SIMULATION | 1995 | 1 |
About D. Levine
D. Levine is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health, General Health Professions and Control and Systems Engineering, having authored 11 papers that have together received 451 indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (2 papers), Mobile Health and mHealth Applications (2 papers), Context-Aware Activity Recognition Systems (2 papers), Distributed systems and fault tolerance (2 papers), Peer-to-Peer Network Technologies (2 papers), Cloud Computing and Resource Management (1 paper), Global Health and Surgery (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Computer Networks and Communications (363 citations), Health Informatics (11 citations), Information Systems (133 citations), Artificial Intelligence (135 citations) and Computer Vision and Pattern Recognition (54 citations). D. Levine has collaborated with scholars based in United States, United Kingdom and Liberia. Frequent co-authors include David M. Chess, Colin Harrison, Benjamin N. Grosof, Colin Parris, Gene Tsudik, Sajal K. Das, Mohan Kumar, Behrooz Shirazi, Katharine Lawrence and Javier González. Their work appears in journals such as JMIR Medical Education, IEEE Pervasive Computing, BMJ Global Health, IEEE Communications Magazine and IEEE Internet Computing.
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.