D. Levine

624 citations
12 papers · 357 indexed · h-index 6

Impact in

Papers in

D. Levine

12 papers receiving 308 citations

Peers

D. Levine
Comparison fields: 5 of 61
  • Computer Networks and Communications 288
  • Health Informatics 10
  • Information Systems 103
  • Artificial Intelligence 99
  • Computer Vision and Pattern Recognition 44
Replace Sami Yangui with:
Sami Yangui France
Ashok Kumar Pradhan India
Akanksha Saini Australia
Mohammed Lahmer Morocco
Silvia Bonomi Italy
Mike Amundsen Switzerland
Charles D. Knutson United States
Ioana Baldini United States
Bhaskara S. Egala India
Upul Jayasinghe Sri Lanka
D. Levine relative to Sami Yangui France Sami Yangui's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Levine

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 23 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.

Border = papers with D. Levine Line = papers co-authored together D. Levine links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1995242
2 200366
3 202316
4 201010
5 20246
6 20066
7 20054
8 20242
9
A Query Algebra for Fragmented XML Stream Data
20032
10 20251
11
LARGE SCALE INTELLIGENT TRANSPORTATION SYSTEMS SIMULATION
19951
12
A broker and job advertisement based Grid scheduling framework
20061

About D. Levine

D. Levine is a scholar working on General Health Professions, Computer Networks and Communications, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Control and Systems Engineering, having authored 12 papers that have together received 357 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (3 papers), Telemedicine and Telehealth Implementation (2 papers), Peer-to-Peer Network Technologies (2 papers), Context-Aware Activity Recognition Systems (2 papers), Distributed systems and fault tolerance (2 papers), Virtual Reality Applications and Impacts (1 paper), Health, Medicine and Society (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Computer Networks and Communications (288 citations), Health Informatics (10 citations), Information Systems (103 citations), Artificial Intelligence (99 citations) and Computer Vision and Pattern Recognition (44 citations). D. Levine has collaborated with scholars based in United States, Liberia and United Kingdom. Frequent co-authors include Benjamin N. Grosof, Gene Tsudik, Colin Parris, David M. Chess, Colin Harrison, Behrooz Shirazi, Sajal K. Das, Mohan Kumar, Katharine Lawrence and Cédric Feschotte. Their work appears in journals such as IEEE Internet Computing, BMJ Global Health, IEEE Communications Magazine, JMIR Medical Education and IEEE Pervasive 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.

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