Thomas W. Barr
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Network Packet Processing and Optimization
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
Papers in
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- Parallel Computing and Optimization Techniques 7
- Embedded Systems Design Techniques 2
- Real-Time Systems Scheduling 1
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- Advanced Data Storage Technologies 4
- Interconnection Networks and Systems 3
- Co-authors
- Scott Rixner (6 shared papers)Alan L. Cox (4 shared papers)David Harris (1 shared paper)Nathaniel Pinckney (1 shared paper)Braden J. Phillips (1 shared paper)
- Journals
- ACM SIGARCH Computer Architecture News (2 papers)USENIX Annual Technical Conference (2 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Thomas W. Barr
8 papers receiving 287 citations
Peers
Comparison fields: 5 of 16
- Hardware and Architecture 279
- Computer Networks and Communications 255
- Information Systems 147
- Artificial Intelligence 26
- Software 2
Countries citing papers authored by Thomas W. Barr
This map shows the geographic impact of Thomas W. Barr'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 Thomas W. Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas W. Barr more than expected).
Fields of papers citing papers by Thomas W. Barr
This network shows the impact of papers produced by Thomas W. Barr. 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 Thomas W. Barr. The network helps show where Thomas W. Barr may publish in the future.
Co-authors
The 5 scholars most cited alongside Thomas W. Barr, 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 | 2010 | 144 | |
| 2 | 2011 | 93 | |
| 3 | 2010 | 32 | |
| 4 | 2008 | 10 | |
| 5 | Design and implementation of an embedded python run-time system | 2012 | 8 |
| 6 | 2011 | 5 | |
| 7 | 2004 | 3 | |
| 8 | Medusa: managing concurrency and communication in embedded systems | 2014 | 2 |
About Thomas W. Barr
Thomas W. Barr is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 8 papers that have together received 297 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (4 papers), Interconnection Networks and Systems (3 papers), Cloud Computing and Resource Management (2 papers), Embedded Systems Design Techniques (2 papers), Real-Time Systems Scheduling (1 paper), Low-power high-performance VLSI design (1 paper) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (279 citations), Computer Networks and Communications (255 citations), Information Systems (147 citations), Artificial Intelligence (26 citations) and Software (2 citations). Thomas W. Barr has collaborated with scholars based in United States and Australia. Frequent co-authors include Scott Rixner, Alan L. Cox, David Harris, Nathaniel Pinckney and Braden J. Phillips. Their work appears in journals such as ACM SIGARCH Computer Architecture News and USENIX Annual Technical Conference.
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.