Robert S. Fabry
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Peer-to-Peer Network Technologies
Papers in
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- Parallel Computing and Optimization Techniques 4
- Embedded Systems Design Techniques 2
- Real-Time Systems Scheduling 1
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- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 3
- Distributed systems and fault tolerance 2
- Co-authors
- William N. Joy (2 shared papers)Samuel J. Leffler (2 shared papers)Marshall Kirk McKusick (1 shared paper)Manfred Ruschitzka (1 shared paper)Robert B. Hagmann (1 shared paper)
- Journals
- Communications of the ACM (4 papers)ACM Transactions on Computer Systems (1 paper)International Conference on Software Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Robert S. Fabry
8 papers receiving 817 citations
Robert S. Fabry's Hit Papers
Peers
Comparison fields: 5 of 33
- Hardware and Architecture 425
- Computer Networks and Communications 863
- Artificial Intelligence 256
- Software 30
- Information Systems 164
Countries citing papers authored by Robert S. Fabry
This map shows the geographic impact of Robert S. Fabry'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 Robert S. Fabry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert S. Fabry more than expected).
Fields of papers citing papers by Robert S. Fabry
This network shows the impact of papers produced by Robert S. Fabry. 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 Robert S. Fabry. The network helps show where Robert S. Fabry may publish in the future.
Co-authors
The 5 scholars most cited alongside Robert S. Fabry, 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 | A fast file system for UNIX Hit paper breakdown → | 1984 | 570 |
| 2 | 1974 | 249 | |
| 3 | 1976 | 63 | |
| 4 | 1976 | 44 | |
| 5 | A 4.2bsd Interprocess Communication Primer | 1983 | 29 |
| 6 | 1977 | 25 | |
| 7 | 1973 | 23 | |
| 8 | 1982 | 5 |
About Robert S. Fabry
Robert S. Fabry is a scholar working on Hardware and Architecture, Computer Networks and Communications, Industrial and Manufacturing Engineering, Signal Processing and Artificial Intelligence, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Distributed and Parallel Computing Systems (3 papers), Distributed systems and fault tolerance (2 papers), Embedded Systems Design Techniques (2 papers), Real-Time Systems Scheduling (1 paper), Security and Verification in Computing (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Hardware and Architecture (425 citations), Computer Networks and Communications (863 citations), Artificial Intelligence (256 citations), Software (30 citations) and Information Systems (164 citations). Robert S. Fabry has collaborated with scholars based in United States. Frequent co-authors include William N. Joy, Samuel J. Leffler, Marshall Kirk McKusick, Manfred Ruschitzka and Robert B. Hagmann. Their work appears in journals such as Communications of the ACM, ACM Transactions on Computer Systems and International Conference on Software Engineering.
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.