David Dice
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Advanced Database Systems and Queries
Papers in
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- Parallel Computing and Optimization Techniques 8
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- Distributed systems and fault tolerance 13
- Co-authors
- Nir Shavit (5 shared papers)Virendra J. Marathe (4 shared papers)Wim H. Hesselink (4 shared papers)Peter A. Buhr (4 shared papers)Danny Hendler (1 shared paper)Derek A. White (2 shared papers)
- Journals
- ACM SIGPLAN Notices (1 paper)Concurrency and Computation Practice and Experience (4 papers)Lecture notes in computer science (1 paper)ACM Transactions on Parallel Computing (1 paper)ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
David Dice
14 papers receiving 262 citations
Peers
Comparison fields: 5 of 10
- Hardware and Architecture 123
- Computer Networks and Communications 215
- Software 6
- Computational Theory and Mathematics 13
- Artificial Intelligence 19
Countries citing papers authored by David Dice
This map shows the geographic impact of David Dice'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 Dice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Dice more than expected).
Fields of papers citing papers by David Dice
This network shows the impact of papers produced by David Dice. 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 Dice. The network helps show where David Dice may publish in the future.
Co-authors
The 6 scholars most cited alongside David Dice, 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 | 2012 | 76 | |
| 2 | What Really Makes Transactions Faster | 2006 | 56 |
| 3 | 2015 | 38 | |
| 4 | 2012 | 17 | |
| 5 | 2013 | 16 | |
| 6 | Implementing fast java TM monitors with relaxed-locks | 2001 | 15 |
| 7 | 2014 | 15 | |
| 8 | 2015 | 12 | |
| 9 | 2011 | 10 | |
| 10 | 2005 | 5 | |
| 11 | 2017 | 5 | |
| 12 | 2011 | 4 | |
| 13 | Lock Cohorting: A General Technique for Designing NUMA Locks | 2012 | 2 |
| 14 | 2018 | 2 | |
| 15 | Supporting per-processor local-allocation buffers using multi-processor restartable critical sections | 2004 | 1 |
About David Dice
David Dice is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 274 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (13 papers), Parallel Computing and Optimization Techniques (8 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Hardware and Architecture (123 citations), Computer Networks and Communications (215 citations), Software (6 citations), Computational Theory and Mathematics (13 citations) and Artificial Intelligence (19 citations). David Dice has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Nir Shavit, Virendra J. Marathe, Wim H. Hesselink, Peter A. Buhr, Danny Hendler and Derek A. White. Their work appears in journals such as ACM SIGPLAN Notices, Concurrency and Computation Practice and Experience, Lecture notes in computer science, ACM Transactions on Parallel Computing and ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.
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.