David Gregg
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 49
- Embedded Systems Design Techniques 15
-
- Logic, programming, and type systems 9
- Algorithms and Data Compression 8
- Co-authors
- M. Anton Ertl (15 shared papers)Andrew Anderson (10 shared papers)Kevin Casey (8 shared papers)Khalid Javeed (9 shared papers)Ali A. El‐Moursy (2 shared papers)John Waldron (5 shared papers)Andreas Krall (1 shared paper)J. W. Garland (2 shared papers)
- Journals
- ACM Transactions on Embedded Computing Systems (5 papers)Software Practice and Experience (2 papers)Science of Computer Programming (2 papers)ACM SIGPLAN Notices (2 papers)Solar Physics (1 paper)
- Partner nations
- IrelandAustriaUnited Kingdom
In The Last Decade
David Gregg
84 papers receiving 903 citations
Peers
Comparison fields: 5 of 80
- Hardware and Architecture 513
- Software 84
- Computer Networks and Communications 337
- Artificial Intelligence 423
- Computational Mathematics 7
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-authors
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
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 90 | |
| 2 | 2008 | 71 | |
| 3 | 2002 | 52 | |
| 4 | 2015 | 51 | |
| 5 | 2003 | 43 | |
| 6 | 2003 | 42 | |
| 7 | 2023 | 30 | |
| 8 | 2003 | 29 | |
| 9 | 2003 | 28 | |
| 10 | 2007 | 26 | |
| 11 | 2010 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2009 | 22 | |
| 14 | 2006 | 22 | |
| 15 | 2005 | 19 | |
| 16 | 2007 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2023 | 17 | |
| 19 | 2018 | 17 | |
| 20 | 2015 | 16 |
About David Gregg
David Gregg is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 95 papers that have together received 976 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), Advanced Neural Network Applications (9 papers), Logic, programming, and type systems (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 (423 citations) and Computational Mathematics (7 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, Ali A. El‐Moursy, John Waldron, Andreas Krall, J. W. Garland, Andrew Beatty and Kevin Williams. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, Software Practice and Experience, Science of Computer Programming, ACM SIGPLAN Notices 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.