Daniel Frampton
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Software top 1%
- Software Testing and Debugging Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 20
- Real-Time Systems Scheduling 3
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- Logic, programming, and type systems 10
- Security and Verification in Computing 7
- Co-authors
- Stephen M. Blackburn (19 shared papers)Kathryn S. McKinley (9 shared papers)Samuel Z. Guyer (5 shared papers)Robin Garner (7 shared papers)Antony L. Hosking (7 shared papers)J. Eliot B. Moss (4 shared papers)Martin Hirzel (5 shared papers)Amer Diwan (4 shared papers)
- Journals
- ACM SIGPLAN Notices (8 papers)Communications of the ACM (1 paper)ACM Transactions on Programming Languages and Systems (1 paper)ANU Open Research (Australian National University) (8 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Daniel Frampton
25 papers receiving 1.7k citations
Daniel Frampton's Hit Papers
Peers
Comparison fields: 5 of 59
- Hardware and Architecture 1.1k
- Software 396
- Computer Networks and Communications 1.0k
- Information Systems 722
- Artificial Intelligence 867
Countries citing papers authored by Daniel Frampton
This map shows the geographic impact of Daniel Frampton'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 Daniel Frampton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Frampton more than expected).
Fields of papers citing papers by Daniel Frampton
This network shows the impact of papers produced by Daniel Frampton. 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 Daniel Frampton. The network helps show where Daniel Frampton may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Frampton, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The DaCapo benchmarks Hit paper breakdown → | 2006 | 1139 |
| 2 | 2006 | 164 | |
| 3 | 2008 | 104 | |
| 4 | 2007 | 62 | |
| 5 | 2011 | 57 | |
| 6 | 2006 | 42 | |
| 7 | 2006 | 41 | |
| 8 | 2009 | 38 | |
| 9 | 2012 | 30 | |
| 10 | 2012 | 27 | |
| 11 | 2016 | 19 | |
| 12 | 2007 | 17 | |
| 13 | 2010 | 16 | |
| 14 | 2011 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2011 | 10 | |
| 17 | 2011 | 8 | |
| 18 | 2012 | 8 | |
| 19 | 2007 | 5 | |
| 20 | 2010 | 3 |
About Daniel Frampton
Daniel Frampton is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Information Systems and Software, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Logic, programming, and type systems (10 papers), Distributed systems and fault tolerance (9 papers), Security and Verification in Computing (7 papers), Software Engineering Research (6 papers), Real-Time Systems Scheduling (3 papers), Software Testing and Debugging Techniques (3 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Software (396 citations), Computer Networks and Communications (1.0k citations), Information Systems (722 citations) and Artificial Intelligence (867 citations). Daniel Frampton has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Stephen M. Blackburn, Kathryn S. McKinley, Samuel Z. Guyer, Robin Garner, Antony L. Hosking, J. Eliot B. Moss, Martin Hirzel, Amer Diwan, Aashish Phansalkar and Maria Jump. Their work appears in journals such as ACM SIGPLAN Notices, Communications of the ACM, ACM Transactions on Programming Languages and Systems and ANU Open Research (Australian National University).
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.