Aaron Ogus
Impact in
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- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Data Storage Technologies 5
- Caching and Content Delivery 3
- Distributed systems and fault tolerance 1
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- Cloud Computing and Resource Management 1
- Co-authors
- Cheng Huang (2 shared papers)Huseyin Simitci (1 shared paper)Sergey Yekhanin (1 shared paper)Jin Li (1 shared paper)Brad Calder (1 shared paper)Parikshit Gopalan (1 shared paper)Richard Black (2 shared papers)Antony Rowstron (2 shared papers)
- Journals
- USENIX Annual Technical Conference (2 papers)Operating Systems Design and Implementation (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Aaron Ogus
5 papers receiving 671 citations
Aaron Ogus's Hit Papers
Peers
Comparison fields: 5 of 17
- Computer Networks and Communications 669
- Hardware and Architecture 58
- Information Systems 175
- Computational Theory and Mathematics 75
- Artificial Intelligence 117
Countries citing papers authored by Aaron Ogus
This map shows the geographic impact of Aaron Ogus'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 Aaron Ogus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Ogus more than expected).
Fields of papers citing papers by Aaron Ogus
This network shows the impact of papers produced by Aaron Ogus. 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 Aaron Ogus. The network helps show where Aaron Ogus may publish in the future.
Co-authors
The 24 scholars most cited alongside Aaron Ogus, 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 | Erasure coding in windows azure storage Hit paper breakdown → | 2012 | 593 |
| 2 | 2014 | 38 | |
| 3 | Giza: Erasure coding objects across global data centers | 2017 | 38 |
| 4 | Feeding the pelican: using archival hard drives for cold storage racks | 2016 | 10 |
| 5 | 2024 | 6 |
About Aaron Ogus
Aaron Ogus is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 5 papers that have together received 685 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (5 papers), Caching and Content Delivery (3 papers), Cloud Computing and Resource Management (1 paper), Catalytic Processes in Materials Science (1 paper), Distributed systems and fault tolerance (1 paper), Parallel Computing and Optimization Techniques (1 paper), Algorithms and Data Compression (1 paper) and Cellular Automata and Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (669 citations), Hardware and Architecture (58 citations), Information Systems (175 citations), Computational Theory and Mathematics (75 citations) and Artificial Intelligence (117 citations). Aaron Ogus has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Cheng Huang, Huseyin Simitci, Sergey Yekhanin, Jin Li, Brad Calder, Parikshit Gopalan, Richard Black, Antony Rowstron, Austin Donnelly and Shuai Mu. Their work appears in journals such as USENIX Annual Technical Conference and Operating Systems Design and Implementation.
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.