John Rushby
Impact in
- Hardware and Architecture top 5%
- Real-Time Systems Scheduling
- Embedded Systems Design Techniques
- Parallel Computing and Optimization Techniques
- Software top 10%
- Software Reliability and Analysis Research
Papers in
-
- Security and Verification in Computing 1
- Co-authors
- Sam Owre (1 shared paper)Natarajan Shankar (1 shared paper)C. Michael Holloway (1 shared paper)Pamela Zave (1 shared paper)Anthony Hall (1 shared paper)David L. Dill (1 shared paper)Ricky W. Butler (1 shared paper)
- Journals
- NASA Technical Reports Server (NASA) (4 papers)
- Partner nations
- United States
In The Last Decade
John Rushby
5 papers receiving 165 citations
Peers
Comparison fields: 5 of 20
- Hardware and Architecture 148
- Software 29
- Computer Networks and Communications 86
- Computational Theory and Mathematics 59
- Safety, Risk, Reliability and Quality 17
Countries citing papers authored by John Rushby
This map shows the geographic impact of John Rushby'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 John Rushby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Rushby more than expected).
Fields of papers citing papers by John Rushby
This network shows the impact of papers produced by John Rushby. 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 John Rushby. The network helps show where John Rushby may publish in the future.
Co-authors
The 7 scholars most cited alongside John Rushby, 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 | Partitioning in Avionics Architectures: Requirements, Mechanisms, and Assurance | 1999 | 174 |
| 2 | Analyzing Tabular and State-Transition Requirements Specifications in PVS | 1997 | 11 |
| 3 | Formal Methods and Digital Systems Validation for Airborne Systems | 2003 | 9 |
| 4 | Model-Based Reconfiguration: Diagnosis and Recovery | 1994 | 4 |
| 5 | Industrial Practice | 1996 | 1 |
About John Rushby
John Rushby is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Software and Computer Networks and Communications, having authored 5 papers that have together received 199 indexed citations. Recurring topics across this work include Formal Methods in Verification (2 papers), Real-Time Systems Scheduling (1 paper), Distributed systems and fault tolerance (1 paper), Safety Systems Engineering in Autonomy (1 paper), Software Reliability and Analysis Research (1 paper), Security and Verification in Computing (1 paper), Software Testing and Debugging Techniques (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Hardware and Architecture (148 citations), Software (29 citations), Computer Networks and Communications (86 citations), Computational Theory and Mathematics (59 citations) and Safety, Risk, Reliability and Quality (17 citations). John Rushby has collaborated with scholars based in United States. Frequent co-authors include Sam Owre, Natarajan Shankar, C. Michael Holloway, Pamela Zave, Anthony Hall, David L. Dill and Ricky W. Butler. Their work appears in journals such as NASA Technical Reports Server (NASA).
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.