Don Carney
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Peer-to-Peer Network Technologies
- Advanced Data Storage Technologies
Papers in
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- Advanced Database Systems and Queries 4
- Distributed systems and fault tolerance 2
- Opportunistic and Delay-Tolerant Networks 1
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- Data Management and Algorithms 3
- Time Series Analysis and Forecasting 2
- Co-authors
- Mitch Cherniack (4 shared papers)Stan Zdonik (3 shared papers)Nesime Tatbul (3 shared papers)Michael Stonebraker (3 shared papers)Daniel J. Abadi (2 shared papers)Sang-Don Lee (2 shared papers)Ying Xing (2 shared papers)Hari Balakrishnan (2 shared papers)
- Journals
- The VLDB Journal (2 papers)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Don Carney
6 papers receiving 1.3k citations
Don Carney's Hit Papers
Peers
Comparison fields: 5 of 52
- Signal Processing 743
- Computer Networks and Communications 1.3k
- Information Systems 473
- Artificial Intelligence 522
- Information Systems and Management 67
Countries citing papers authored by Don Carney
This map shows the geographic impact of Don Carney'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 Don Carney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Carney more than expected).
Fields of papers citing papers by Don Carney
This network shows the impact of papers produced by Don Carney. 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 Don Carney. The network helps show where Don Carney may publish in the future.
Co-authors
The 15 scholars most cited alongside Don Carney, 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 | Aurora: a new model and architecture for data stream management Hit paper breakdown → | 2003 | 946 |
| 2 | Scalable Distributed Stream Processing | 2003 | 310 |
| 3 | 2003 | 127 | |
| 4 | 2004 | 85 | |
| 5 | 2004 | 13 | |
| 6 | 2004 | 9 |
About Don Carney
Don Carney is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (4 papers), Data Management and Algorithms (3 papers), Time Series Analysis and Forecasting (2 papers), Distributed systems and fault tolerance (2 papers), Green IT and Sustainability (1 paper), Cloud Computing and Resource Management (1 paper), Opportunistic and Delay-Tolerant Networks (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Signal Processing (743 citations), Computer Networks and Communications (1.3k citations), Information Systems (473 citations), Artificial Intelligence (522 citations) and Information Systems and Management (67 citations). Don Carney has collaborated with scholars based in United States and South Korea. Frequent co-authors include Mitch Cherniack, Stan Zdonik, Nesime Tatbul, Michael Stonebraker, Daniel J. Abadi, Sang-Don Lee, Ying Xing, Hari Balakrishnan, Magdalena Bałazińska and Stanley B. Zdonik. Their work appears in journals such as The VLDB Journal and Conference on Innovative Data Systems Research.
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.