David Levy
Impact in
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- Distributed systems and fault tolerance
- Information Systems top 5%
- Cloud Computing and Resource Management
- Cloud Data Security Solutions
Papers in
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- Real-Time Systems Scheduling 8
- Co-authors
- Shiping Chen (29 shared papers)Ifeanyi P. Egwutuoha (6 shared papers)Bran Selić (6 shared papers)Yu‐Chu Tian (8 shared papers)John Žic (11 shared papers)Jinhui Yao (13 shared papers)Rafael A. Calvo (6 shared papers)Chen Wang (6 shared papers)
- Journals
- Applied Intelligence (2 papers)IEEE Transactions on Energy Conversion (2 papers)PLoS ONE (2 papers)Electric Power Systems Research (2 papers)Information Sciences (2 papers)
- Partner nations
- AustraliaSouth AfricaChina
In The Last Decade
David Levy
102 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 196
- Information Systems 178
- Research and Theory 16
- Leadership and Management 4
- Control and Systems Engineering 112
Countries citing papers authored by David Levy
This map shows the geographic impact of David Levy'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 Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Levy more than expected).
Fields of papers citing papers by David Levy
This network shows the impact of papers produced by David Levy. 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 Levy. The network helps show where David Levy may publish in the future.
Co-authors
The 25 scholars most cited alongside David Levy, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 194 | |
| 2 | 2009 | 94 | |
| 3 | 2007 | 68 | |
| 4 | 2020 | 65 | |
| 5 | 2004 | 61 | |
| 6 | 2018 | 55 | |
| 7 | 2010 | 54 | |
| 8 | 2010 | 53 | |
| 9 | 2012 | 42 | |
| 10 | 2018 | 39 | |
| 11 | 2006 | 34 | |
| 12 | 2012 | 34 | |
| 13 | 2015 | 30 | |
| 14 | 2002 | 29 | |
| 15 | 2006 | 26 | |
| 16 | 2010 | 26 | |
| 17 | 2007 | 25 | |
| 18 | 2006 | 22 | |
| 19 | 2014 | 22 | |
| 20 | 2016 | 21 |
About David Levy
David Levy is a scholar working on Hardware and Architecture, Information Systems, Computer Networks and Communications, Media Technology and Artificial Intelligence, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Real-Time Systems Scheduling (8 papers), Engineering Education and Curriculum Development (5 papers), Advanced Chemical Sensor Technologies (5 papers), Distributed systems and fault tolerance (5 papers), Power System Optimization and Stability (5 papers), Distributed and Parallel Computing Systems (4 papers) and Stability and Control of Uncertain Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Information Systems (178 citations), Research and Theory (16 citations), Leadership and Management (4 citations) and Control and Systems Engineering (112 citations). David Levy has collaborated with scholars based in Australia, South Africa and China. Frequent co-authors include Shiping Chen, Ifeanyi P. Egwutuoha, Bran Selić, Yu‐Chu Tian, John Žic, Jinhui Yao, Rafael A. Calvo, Chen Wang, Ronald G. Harley and Moses Oludayo Tadé. Their work appears in journals such as Applied Intelligence, IEEE Transactions on Energy Conversion, PLoS ONE, Electric Power Systems Research and Information Sciences.
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.