Dan Nussbaum
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Real-Time Systems Scheduling
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- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Optimization and Search Problems
Papers in
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- Distributed systems and fault tolerance 6
- Advanced Data Storage Technologies 3
- Interconnection Networks and Systems 1
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- Parallel Computing and Optimization Techniques 5
- Co-authors
- Mark Moir (6 shared papers)Kevin Ezra Moore (1 shared paper)Yossi Lev (3 shared papers)Virendra J. Marathe (2 shared papers)Dave Dice (1 shared paper)Marek Olszewski (1 shared paper)Lawrence A. Crowl (1 shared paper)Victor Luchangco (3 shared papers)
- Journals
- UR Research (University of Rochester) (2 papers)
- Partner nations
- United States
In The Last Decade
Dan Nussbaum
6 papers receiving 122 citations
Peers
Comparison fields: 5 of 10
- Hardware and Architecture 106
- Computer Networks and Communications 133
- Experimental and Cognitive Psychology 38
- Artificial Intelligence 5
- Electrical and Electronic Engineering 7
Countries citing papers authored by Dan Nussbaum
This map shows the geographic impact of Dan Nussbaum'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 Dan Nussbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Nussbaum more than expected).
Fields of papers citing papers by Dan Nussbaum
This network shows the impact of papers produced by Dan Nussbaum. 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 Dan Nussbaum. The network helps show where Dan Nussbaum may publish in the future.
Co-authors
The 15 scholars most cited alongside Dan Nussbaum, 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 | PhTM: Phased Transactional Memory | 2007 | 63 |
| 2 | 2008 | 27 | |
| 3 | 2010 | 26 | |
| 4 | Integrating Transactional Memory into C | 2007 | 13 |
| 5 | Hybrid Hardware/Software Transactional Memory | 2005 | 2 |
| 6 | Exceptions and transactions in C | 2009 | 2 |
About Dan Nussbaum
Dan Nussbaum is a scholar working on Computer Networks and Communications, Hardware and Architecture, Experimental and Cognitive Psychology, Artificial Intelligence and Infectious Diseases, having authored 6 papers that have together received 133 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (3 papers), Cognitive Functions and Memory (2 papers), Interconnection Networks and Systems (1 paper) and Logic, programming, and type systems (1 paper). The work is most often cited by research in Hardware and Architecture (106 citations), Computer Networks and Communications (133 citations), Experimental and Cognitive Psychology (38 citations), Artificial Intelligence (5 citations) and Electrical and Electronic Engineering (7 citations). Dan Nussbaum has collaborated with scholars based in United States. Frequent co-authors include Mark Moir, Kevin Ezra Moore, Yossi Lev, Virendra J. Marathe, Dave Dice, Marek Olszewski, Lawrence A. Crowl, Victor Luchangco, Ravi Narayanaswamy and Xinmin Tian. Their work appears in journals such as UR Research (University of Rochester).
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.