David Gregg
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques 49
- Embedded Systems Design Techniques 15
- Software top 5%
- Software Testing and Debugging Techniques 8
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- Advanced Data Storage Technologies 14
- Artificial Intelligence top 5%
- Logic, programming, and type systems 9
- Algorithms and Data Compression 8
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- Cloud Computing and Resource Management 11
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- Advanced Neural Network Applications 9
- Co-authors
- M. Anton ErtlAndrew AndersonKevin CaseyKhalid JaveedJohn WaldronAli A. El‐MoursyAndreas KrallAndrew Beatty
- Journals
- ACM Transactions on Embedded Computing Systems (5 papers)Science of Computer Programming (2 papers)ACM SIGPLAN Notices (2 papers)
- Partner nations
- IrelandAustriaUnited Kingdom
In The Last Decade
David Gregg
83 papers receiving 886 citations
Peers
Comparison fields: 5 of 81
- Hardware and Architecture 513
- Software 84
- Computer Networks and Communications 337
- Artificial Intelligence 418
- Computational Mathematics 6
Countries citing papers authored by David Gregg
This map shows the geographic impact of David Gregg'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 Gregg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gregg more than expected).
Fields of papers citing papers by David Gregg
This network shows the impact of papers produced by David Gregg. 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 Gregg. The network helps show where David Gregg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Gregg, 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 | 2024 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 29 | |
| 4 | 2018 | 0 | |
| 5 | 2017 | 3 | |
| 6 | 2013 | 1 | |
| 7 | 2011 | 1 | |
| 8 | Optimizing interpreters by tuning opcode orderings on virtual machines for modern architectures | 2011 | 2 |
| 9 | Static analysis of dynamic scripting languages | 2009 | 5 |
| 10 | Proceedings of the fourth ACM SIGPLAN/SIGOPS international conference on Virtual execution environments | 2008 | 0 |
| 11 | 2006 | 6 | |
| 12 | 2005 | 6 | |
| 13 | 2005 | 5 | |
| 14 | Optimizations for a Java Interpreter Using Instruction SetEnhancement | 2005 | 2 |
| 15 | 2004 | 5 | |
| 16 | 2003 | 42 | |
| 17 | Proceedings of the 2003 workshop on Interpreters, virtual machines and emulators | 2003 | 1 |
| 18 | 2003 | 12 | |
| 19 | 2003 | 29 | |
| 20 | Transient Response and Phase Equalization in Magnetic Recorders | 1965 | 4 |
About David Gregg
David Gregg is a scholar working on Hardware and Architecture, Software, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 94 papers that have together received 959 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (49 papers), Embedded Systems Design Techniques (15 papers), Advanced Data Storage Technologies (14 papers), Cloud Computing and Resource Management (11 papers), Logic, programming, and type systems (9 papers), Advanced Neural Network Applications (9 papers), Software Testing and Debugging Techniques (8 papers) and Algorithms and Data Compression (8 papers). The work is most often cited by research in Hardware and Architecture (513 citations), Software (84 citations), Computer Networks and Communications (337 citations), Artificial Intelligence (418 citations) and Computational Mathematics (6 citations). David Gregg has collaborated with scholars based in Ireland, Austria and United Kingdom. Frequent co-authors include M. Anton Ertl, Andrew Anderson, Kevin Casey, Khalid Javeed, John Waldron, Ali A. El‐Moursy, Andreas Krall, Andrew Beatty, J. W. Garland and Kevin Williams. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, Science of Computer Programming, ACM SIGPLAN Notices, Software Practice and Experience and Solar Physics.
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.