Dan Nussbaum
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
Papers in
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- Parallel Computing and Optimization Techniques 8
- Real-Time Systems Scheduling 1
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- Distributed systems and fault tolerance 8
- Advanced Data Storage Technologies 3
- Interconnection Networks and Systems 2
- Distributed and Parallel Computing Systems 1
- Co-authors
- Mark J. Moir (7 shared papers)Victor Luchangco (4 shared papers)Nir Shavit (2 shared papers)Kirk L. Johnson (2 shared papers)Anant K. Agarwal (2 shared papers)David Chaiken (2 shared papers)John D. Kubiatowicz (2 shared papers)David A. Kranz (2 shared papers)
- Journals
- Lecture notes in computer science (3 papers)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)UR Research (University of Rochester) (2 papers)
- Partner nations
- United States
In The Last Decade
Dan Nussbaum
9 papers receiving 347 citations
Peers
Comparison fields: 5 of 22
- Hardware and Architecture 314
- Computer Networks and Communications 376
- Experimental and Cognitive Psychology 48
- Information Systems 29
- Artificial Intelligence 22
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 23 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 | 1992 | 173 | |
| 2 | PhTM: Phased Transactional Memory | 2007 | 72 |
| 3 | 2006 | 58 | |
| 4 | 2010 | 31 | |
| 5 | 2008 | 30 | |
| 6 | Integrating Transactional Memory into C | 2007 | 13 |
| 7 | Exceptions and transactions in C | 2009 | 3 |
| 8 | 1993 | 3 | |
| 9 | Hybrid Hardware/Software Transactional Memory | 2005 | 3 |
| 10 | 2011 | 0 |
About Dan Nussbaum
Dan Nussbaum is a scholar working on Hardware and Architecture, Computer Networks and Communications, Experimental and Cognitive Psychology, Psychiatry and Mental health and Artificial Intelligence, having authored 10 papers that have together received 386 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (8 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (3 papers), Cognitive Functions and Memory (3 papers), Interconnection Networks and Systems (2 papers), Real-Time Systems Scheduling (1 paper), Distributed and Parallel Computing Systems (1 paper) and Logic, programming, and type systems (1 paper). The work is most often cited by research in Hardware and Architecture (314 citations), Computer Networks and Communications (376 citations), Experimental and Cognitive Psychology (48 citations), Information Systems (29 citations) and Artificial Intelligence (22 citations). Dan Nussbaum has collaborated with scholars based in United States. Frequent co-authors include Mark J. Moir, Victor Luchangco, Nir Shavit, Kirk L. Johnson, Anant K. Agarwal, David Chaiken, John D. Kubiatowicz, David A. Kranz, Beng-Hong Lim and Kevin Ezra Moore. Their work appears in journals such as Lecture notes in computer science, DSpace@MIT (Massachusetts Institute of Technology) and 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.