Toby Murray
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Security and Verification in Computing 58
- Logic, programming, and type systems 20
-
- Advanced Malware Detection Techniques 26
- Co-authors
- Gerwin Klein (30 shared papers)Gernot Heiser (13 shared papers)June Andronick (10 shared papers)Thomas Arthur Leck Sewell (11 shared papers)Daniel Matichuk (9 shared papers)Rafal Kolanski (4 shared papers)Peter Gammie (5 shared papers)Kevin J. Elphinstone (1 shared paper)
- Journals
- ACM SIGPLAN Notices (2 papers)IEEE Security & Privacy (2 papers)Journal of Functional Programming (2 papers)Lecture notes in computer science (15 papers)Communications of the ACM (1 paper)
- Partner nations
- AustraliaGermanyUnited Kingdom
In The Last Decade
Toby Murray
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 42
- Hardware and Architecture 318
- Software 172
- Signal Processing 423
- Artificial Intelligence 1.0k
- Computer Networks and Communications 472
Countries citing papers authored by Toby Murray
This map shows the geographic impact of Toby Murray'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 Toby Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby Murray more than expected).
Fields of papers citing papers by Toby Murray
This network shows the impact of papers produced by Toby Murray. 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 Toby Murray. The network helps show where Toby Murray may publish in the future.
Co-authors
The 25 scholars most cited alongside Toby Murray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 248 | |
| 2 | 2013 | 153 | |
| 3 | 2011 | 64 | |
| 4 | 2014 | 54 | |
| 5 | 2016 | 51 | |
| 6 | 2012 | 48 | |
| 7 | 2016 | 41 | |
| 8 | 2018 | 33 | |
| 9 | 2016 | 29 | |
| 10 | 2022 | 26 | |
| 11 | 2018 | 23 | |
| 12 | 2019 | 22 | |
| 13 | 2019 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2020 | 17 | |
| 16 | 2013 | 17 | |
| 17 | 2014 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2015 | 15 |
About Toby Murray
Toby Murray is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Security and Verification in Computing (58 papers), Advanced Malware Detection Techniques (26 papers), Distributed systems and fault tolerance (24 papers), Logic, programming, and type systems (20 papers), Software Testing and Debugging Techniques (10 papers), Parallel Computing and Optimization Techniques (10 papers), Formal Methods in Verification (7 papers) and Cloud Data Security Solutions (7 papers). The work is most often cited by research in Hardware and Architecture (318 citations), Software (172 citations), Signal Processing (423 citations), Artificial Intelligence (1.0k citations) and Computer Networks and Communications (472 citations). Toby Murray has collaborated with scholars based in Australia, Germany and United Kingdom. Frequent co-authors include Gerwin Klein, Gernot Heiser, June Andronick, Thomas Arthur Leck Sewell, Daniel Matichuk, Rafal Kolanski, Peter Gammie, Kevin J. Elphinstone, Gidon Ernst and Christine Rizkallah. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Security & Privacy, Journal of Functional Programming, Lecture notes in computer science and Communications of the ACM.
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.