John Backes

814 citations
25 papers · 592 · h-index 12

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Physical Unclonable Functions (PUFs) and Hardware Security

Papers in

John Backes

24 papers receiving 567 citations

Peers

John Backes
Comparison fields: 5 of 44
  • Software 200
  • Hardware and Architecture 119
  • Computational Theory and Mathematics 159
  • Safety, Risk, Reliability and Quality 82
  • Artificial Intelligence 250
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James Kapinski United States
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Jaynarayan H. Lala United States
Olivier Lebeltel France
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Citations per year

Countries citing papers authored by John Backes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Backes Line = papers co-authored together John Backes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013200
2 201870
3 201339
4 201939
5 201434
6 201529
7 201824
8 201524
9 201420
10 201820
11 201913
12 200811
13
Secure mathematically-assured composition of control models
201710
14 20109
15 20169
16 20209
17 20088
18 20096
19 20105
20 20165

About John Backes

John Backes is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering and Software, having authored 25 papers that have together received 592 indexed citations. Recurring topics across this work include Formal Methods in Verification (12 papers), Logic, programming, and type systems (6 papers), Software Testing and Debugging Techniques (5 papers), Safety Systems Engineering in Autonomy (4 papers), Embedded Systems Design Techniques (3 papers), Real-Time Systems Scheduling (3 papers), Software Reliability and Analysis Research (3 papers) and Security and Verification in Computing (3 papers). The work is most often cited by research in Software (200 citations), Hardware and Architecture (119 citations), Computational Theory and Mathematics (159 citations), Safety, Risk, Reliability and Quality (82 citations) and Artificial Intelligence (250 citations). John Backes has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Andrew Gacek, Darren Cofer, Shane S. Clark, Daniel B. Kramer, Kan Fu, Yongdae Kim, Denis Foo Kune, Wenyuan Xu, Matthew R. Reynolds and Neha Rungta. Their work appears in journals such as Computer, Lecture notes in computer science, ACM Transactions on Design Automation of Electronic Systems, IEEE Software and Scholar Commons (University of South Carolina).

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.

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