Andrew Or
Impact in
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- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Software System Performance and Reliability
- Network Security and Intrusion Detection
- Distributed and Parallel Computing Systems
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Software-Defined Networks and 5G 3
- Software System Performance and Reliability 3
- Distributed and Parallel Computing Systems 1
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- Cloud Computing and Resource Management 4
- Co-authors
- Michael J. Freedman (3 shared papers)Haoyu Zhang (1 shared paper)Scott Shenker (3 shared papers)Andreas Wundsam (3 shared papers)Kyriakos Zarifis (3 shared papers)Colin Scott (3 shared papers)H. B. Acharya (2 shared papers)Patrick Wendell (1 shared paper)
- Journals
- ACM SIGCOMM Computer Communication Review (1 paper)Proceedings of the VLDB Endowment (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)UC Berkeley (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Andrew Or
7 papers receiving 286 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 231
- Information Systems 146
- Hardware and Architecture 30
- Information Systems and Management 29
- Software 12
Countries citing papers authored by Andrew Or
This map shows the geographic impact of Andrew Or'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 Andrew Or with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Or more than expected).
Fields of papers citing papers by Andrew Or
This network shows the impact of papers produced by Andrew Or. 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 Andrew Or. The network helps show where Andrew Or may publish in the future.
Co-authors
The 18 scholars most cited alongside Andrew Or, 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 | 2017 | 100 | |
| 2 | 2014 | 70 | |
| 3 | 2015 | 67 | |
| 4 | 2014 | 26 | |
| 5 | Resource Elasticity in Distributed Deep Learning | 2020 | 21 |
| 6 | How Did We Get Into This Mess? Isolating Fault- Inducing Inputs to SDN Control Software | 2013 | 15 |
| 7 | 2019 | 1 |
About Andrew Or
Andrew Or is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Software and Information Systems and Management, having authored 7 papers that have together received 300 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Data Stream Mining Techniques (3 papers), Software-Defined Networks and 5G (3 papers), Software System Performance and Reliability (3 papers), Software Testing and Debugging Techniques (3 papers), Scientific Computing and Data Management (2 papers), Data Management and Algorithms (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (231 citations), Information Systems (146 citations), Hardware and Architecture (30 citations), Information Systems and Management (29 citations) and Software (12 citations). Andrew Or has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Michael J. Freedman, Haoyu Zhang, Scott Shenker, Andreas Wundsam, Kyriakos Zarifis, Colin Scott, H. B. Acharya, Patrick Wendell, Aurojit Panda and Zhi Liu. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Proceedings of the VLDB Endowment, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and UC Berkeley.
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.