John Backes
- Software top 5%
- Software Testing and Debugging Techniques 3
- Software Reliability and Analysis Research 2
- Hardware and Architecture top 5%
- VLSI and Analog Circuit Testing 2
- Signal Processing top 10%
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- Safety Systems Engineering in Autonomy 3
- Artificial Intelligence top 10%
- Logic, programming, and type systems 3
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- Formal Methods in Verification 7
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- Low-power high-performance VLSI design 2
- Radiation Effects in Electronics 2
- Co-authors
- Yongdae KimMatthew R. ReynoldsDaniel B. KramerKan FuDenis Foo KuneWenyuan XuShane S. ClarkMarc D. Riedel
- Journals
- ACM Transactions on Design Automation of Electronic Systems (1 paper)IEEE Software (1 paper)Computer (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
John Backes
13 papers receiving 329 citations
Peers
Comparison fields: 5 of 41
- Software 66
- Hardware and Architecture 88
- Signal Processing 67
- Safety, Risk, Reliability and Quality 45
- Artificial Intelligence 144
Countries citing papers authored by John Backes
This map shows the geographic impact of John Backes'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 Backes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Backes more than expected).
Fields of papers citing papers by John Backes
This network shows the impact of papers produced by John Backes. 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 Backes. The network helps show where John Backes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Backes, 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 | 2019 | 13 | |
| 2 | 2018 | 20 | |
| 3 | 2018 | 40 | |
| 4 | Secure mathematically-assured composition of control models | 2017 | 10 |
| 5 | 2014 | 14 | |
| 6 | 2014 | 24 | |
| 7 | 2013 | 184 | |
| 8 | 2013 | 0 | |
| 9 | 2012 | 4 | |
| 10 | 2010 | 9 | |
| 11 | 2010 | 5 | |
| 12 | 2009 | 6 | |
| 13 | 2008 | 11 | |
| 14 | 2008 | 8 |
About John Backes
John Backes is a scholar working on Software, Hardware and Architecture, Computational Theory and Mathematics, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 14 papers that have together received 348 indexed citations. Recurring topics across this work include Formal Methods in Verification (7 papers), Safety Systems Engineering in Autonomy (3 papers), Logic, programming, and type systems (3 papers), Software Testing and Debugging Techniques (3 papers), Software Reliability and Analysis Research (2 papers), VLSI and Analog Circuit Testing (2 papers), Low-power high-performance VLSI design (2 papers) and Radiation Effects in Electronics (2 papers). The work is most often cited by research in Software (66 citations), Hardware and Architecture (88 citations), Signal Processing (67 citations), Safety, Risk, Reliability and Quality (45 citations) and Artificial Intelligence (144 citations). John Backes has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Yongdae Kim, Matthew R. Reynolds, Daniel B. Kramer, Kan Fu, Denis Foo Kune, Wenyuan Xu, Shane S. Clark, Marc D. Riedel, Andrew Gacek and Michael W. Whalen. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, IEEE Software, Computer, Scholar Commons (University of South Carolina) and 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013).
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.