Doug Woos
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
-
- Distributed systems and fault tolerance
- Software System Performance and Reliability
- Software-Defined Networks and 5G
Papers in
-
- Distributed systems and fault tolerance 6
- Software-Defined Networks and 5G 4
- Software System Performance and Reliability 3
- Advanced Data Storage Technologies 3
- Co-authors
- Thomas E. Anderson (8 shared papers)Zachary Tatlock (7 shared papers)Michael D. Ernst (6 shared papers)James R. Wilcox (5 shared papers)Xi Wang (2 shared papers)Pavel Panchekha (2 shared papers)Arvind Krishnamurthy (6 shared papers)Simon Peter (4 shared papers)
- Journals
- ACM SIGPLAN Notices (3 papers)ACM Transactions on Computer Systems (1 paper)ACM SIGCOMM Computer Communication Review (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Doug Woos
13 papers receiving 527 citations
Peers
Comparison fields: 5 of 29
- Hardware and Architecture 140
- Computer Networks and Communications 431
- Software 59
- Computational Theory and Mathematics 122
- Information Systems 157
Countries citing papers authored by Doug Woos
This map shows the geographic impact of Doug Woos'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 Doug Woos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doug Woos more than expected).
Fields of papers citing papers by Doug Woos
This network shows the impact of papers produced by Doug Woos. 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 Doug Woos. The network helps show where Doug Woos may publish in the future.
Co-authors
The 22 scholars most cited alongside Doug Woos, 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 | 2015 | 187 | |
| 2 | 2016 | 86 | |
| 3 | 2015 | 72 | |
| 4 | 2016 | 47 | |
| 5 | 2015 | 42 | |
| 6 | 2018 | 35 | |
| 7 | 2014 | 30 | |
| 8 | Towards high-performance application-level storage management | 2014 | 10 |
| 9 | 2016 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2018 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 4 |
About Doug Woos
Doug Woos is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Software and Computational Theory and Mathematics, having authored 13 papers that have together received 538 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Software-Defined Networks and 5G (4 papers), Software Testing and Debugging Techniques (4 papers), Software System Performance and Reliability (3 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Data Storage Technologies (3 papers), Formal Methods in Verification (3 papers) and Network Packet Processing and Optimization (2 papers). The work is most often cited by research in Hardware and Architecture (140 citations), Computer Networks and Communications (431 citations), Software (59 citations), Computational Theory and Mathematics (122 citations) and Information Systems (157 citations). Doug Woos has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Thomas E. Anderson, Zachary Tatlock, Michael D. Ernst, James R. Wilcox, Xi Wang, Pavel Panchekha, Arvind Krishnamurthy, Simon Peter, Steve Anton and Jialin Li. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Computer Systems and ACM SIGCOMM Computer Communication Review.
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.