David Margery
Impact in
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Software-Defined Networks and 5G
- Software System Performance and Reliability
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- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- Distributed and Parallel Computing Systems 2
- Distributed systems and fault tolerance 1
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- Augmented Reality Applications 1
- Graph Theory and Algorithms 1
- Co-authors
- Monica Vitali (1 shared paper)Michael Gienger (1 shared paper)Pierluigi Plebani (1 shared paper)Usman Wajid (1 shared paper)Cinzia Cappiello (1 shared paper)Nikolay Mehandjiev (1 shared paper)Kostas Kavoussanakis (1 shared paper)Barbara Pernici (1 shared paper)
- Journals
- IEEE Transactions on Cloud Computing (1 paper)OpenGrey (Institut de l'Information Scientifique et Technique) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
In The Last Decade
David Margery
3 papers receiving 40 citations
Peers
Comparison fields: 5 of 16
- Computer Networks and Communications 34
- Information Systems 33
- Hardware and Architecture 3
- Computer Science Applications 1
- Human-Computer Interaction 1
Countries citing papers authored by David Margery
This map shows the geographic impact of David Margery'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 David Margery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Margery more than expected).
Fields of papers citing papers by David Margery
This network shows the impact of papers produced by David Margery. 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 David Margery. The network helps show where David Margery may publish in the future.
Co-authors
The 11 scholars most cited alongside David Margery, 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 | 2015 | 40 | |
| 2 | 2000 | 1 | |
| 3 | Capabilities for per Process Tuning of Distributed Operating Systems | 2004 | 1 |
About David Margery
David Margery is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Hardware and Architecture and Human-Computer Interaction, having authored 3 papers that have together received 42 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (2 papers), Interactive and Immersive Displays (1 paper), Cloud Computing and Resource Management (1 paper), Real-Time Systems Scheduling (1 paper), Virtual Reality Applications and Impacts (1 paper), Distributed systems and fault tolerance (1 paper), Augmented Reality Applications (1 paper) and Graph Theory and Algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (34 citations), Information Systems (33 citations), Hardware and Architecture (3 citations), Computer Science Applications (1 citation) and Human-Computer Interaction (1 citation). David Margery has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Monica Vitali, Michael Gienger, Pierluigi Plebani, Usman Wajid, Cinzia Cappiello, Nikolay Mehandjiev, Kostas Kavoussanakis, Barbara Pernici, Pedro Sampaio and Thierry Duval. Their work appears in journals such as IEEE Transactions on Cloud Computing, OpenGrey (Institut de l'Information Scientifique et Technique) and HAL (Le Centre pour la Communication Scientifique Directe).
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.