John Backes
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
-
- Formal Methods in Verification 7
-
- Low-power high-performance VLSI design 2
- Co-authors
- Shane S. Clark (1 shared paper)Matthew R. Reynolds (1 shared paper)Yongdae Kim (1 shared paper)Wenyuan Xu (1 shared paper)Kan Fu (1 shared paper)Denis Foo Kune (1 shared paper)Daniel B. Kramer (1 shared paper)Marc D. Riedel (6 shared papers)
- Journals
- Computer (1 paper)IEEE Software (1 paper)ACM Transactions on Design Automation of Electronic Systems (1 paper)RePEc: Research Papers in Economics (1 paper)ACM SIGAda Ada Letters (1 paper)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
John Backes
13 papers receiving 332 citations
Peers
Comparison fields: 5 of 41
- Software 67
- Hardware and Architecture 89
- Signal Processing 67
- Safety, Risk, Reliability and Quality 45
- Artificial Intelligence 146
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-authors
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 | 2013 | 185 | |
| 2 | 2018 | 42 | |
| 3 | 2014 | 24 | |
| 4 | 2018 | 20 | |
| 5 | 2014 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2008 | 11 | |
| 8 | Secure mathematically-assured composition of control models | 2017 | 10 |
| 9 | 2010 | 9 | |
| 10 | 2008 | 8 | |
| 11 | 2009 | 6 | |
| 12 | 2010 | 5 | |
| 13 | 2012 | 4 | |
| 14 | 2013 | 0 |
About John Backes
John Backes is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence and Software, having authored 14 papers that have together received 351 indexed citations. Recurring topics across this work include Formal Methods in Verification (7 papers), Software Testing and Debugging Techniques (3 papers), Safety Systems Engineering in Autonomy (3 papers), Logic, programming, and type systems (3 papers), VLSI and Analog Circuit Testing (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Software Reliability and Analysis Research (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Software (67 citations), Hardware and Architecture (89 citations), Signal Processing (67 citations), Safety, Risk, Reliability and Quality (45 citations) and Artificial Intelligence (146 citations). John Backes has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Shane S. Clark, Matthew R. Reynolds, Yongdae Kim, Wenyuan Xu, Kan Fu, Denis Foo Kune, Daniel B. Kramer, Marc D. Riedel, Andrew Gacek and Darren Cofer. Their work appears in journals such as Computer, IEEE Software, ACM Transactions on Design Automation of Electronic Systems, RePEc: Research Papers in Economics and ACM SIGAda Ada Letters.
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.