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
- Software 2
- Software Testing and Debugging Techniques 2
-
- Cloud Computing and Resource Management 4
- Co-authors
- Michael J. Freedman (3 shared papers)Haoyu Zhang (1 shared paper)Ion Gabriel Stoica (1 shared paper)Patrick Wendell (1 shared paper)Colin Scott (2 shared papers)Hrishikesh B. Acharya (2 shared papers)Zhi Liu (2 shared papers)Ali Ghodsi (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)ACM SIGCOMM Computer Communication Review (1 paper)SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University) (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Andrew Or
6 papers receiving 306 citations
Peers
Comparison fields: 5 of 29
- Computer Networks and Communications 247
- Information Systems 159
- Hardware and Architecture 39
- Information Systems and Management 30
- Software 14
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 | 105 | |
| 2 | 2015 | 83 | |
| 3 | 2014 | 81 | |
| 4 | 2014 | 29 | |
| 5 | Resource Elasticity in Distributed Deep Learning | 2020 | 22 |
| 6 | 2019 | 1 |
About Andrew Or
Andrew Or is a scholar working on Software, Information Systems, Computer Networks and Communications, Information Systems and Management and Artificial Intelligence, having authored 6 papers that have together received 321 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Data Stream Mining Techniques (3 papers), Scientific Computing and Data Management (2 papers), Software System Performance and Reliability (2 papers), Software-Defined Networks and 5G (2 papers), Software Testing and Debugging Techniques (2 papers), Distributed and Parallel Computing Systems (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (247 citations), Information Systems (159 citations), Hardware and Architecture (39 citations), Information Systems and Management (30 citations) and Software (14 citations). Andrew Or has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Michael J. Freedman, Haoyu Zhang, Ion Gabriel Stoica, Patrick Wendell, Colin Scott, Hrishikesh B. Acharya, Zhi Liu, Ali Ghodsi, Matei Zaharia and Reynold Xin. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGCOMM Computer Communication Review and SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University).
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.