Ian Rae
Impact in
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- Caching and Content Delivery
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Advanced Database Systems and Queries 7
- Distributed systems and fault tolerance 3
- Software System Performance and Reliability 1
- Software-Defined Networks and 5G 1
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- Data Management and Algorithms 4
- Co-authors
- Aditya Akella (1 shared paper)Jeff Shute (3 shared papers)Radek Vingralek (2 shared papers)John Cieslewicz (2 shared papers)David Menestrina (1 shared paper)Bart Samwel (1 shared paper)Jeffrey F. Naughton (3 shared papers)AnHai Doan (2 shared papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ian Rae
8 papers receiving 279 citations
Peers
Comparison fields: 5 of 19
- Computer Networks and Communications 299
- Information Systems 160
- Signal Processing 62
- Artificial Intelligence 56
- Hardware and Architecture 11
Countries citing papers authored by Ian Rae
This map shows the geographic impact of Ian Rae'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 Ian Rae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Rae more than expected).
Fields of papers citing papers by Ian Rae
This network shows the impact of papers produced by Ian Rae. 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 Ian Rae. The network helps show where Ian Rae may publish in the future.
Co-authors
The 20 scholars most cited alongside Ian Rae, 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 | 2013 | 157 | |
| 2 | Extensible and scalable network monitoring using OpenSAFE | 2010 | 67 |
| 3 | 2010 | 28 | |
| 4 | 2013 | 27 | |
| 5 | 2020 | 23 | |
| 6 | 2014 | 5 | |
| 7 | Database Optimization in the Cloud: Where Costs, Partial Results, and Consumer Choice Meet. | 2015 | 4 |
| 8 | 2010 | 2 |
About Ian Rae
Ian Rae is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 8 papers that have together received 313 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Data Management and Algorithms (4 papers), Distributed systems and fault tolerance (3 papers), Data Quality and Management (1 paper), Web Data Mining and Analysis (1 paper), Cloud Computing and Resource Management (1 paper), Software System Performance and Reliability (1 paper) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Computer Networks and Communications (299 citations), Information Systems (160 citations), Signal Processing (62 citations), Artificial Intelligence (56 citations) and Hardware and Architecture (11 citations). Ian Rae has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Aditya Akella, Jeff Shute, Radek Vingralek, John Cieslewicz, David Menestrina, Bart Samwel, Jeffrey F. Naughton, AnHai Doan, Jiexing Li and Alan Halverson. Their work appears in journals such as Proceedings of the VLDB Endowment.
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.