Kyle Dewey
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Software Engineering Research 10
- Software 11
- Software Testing and Debugging Techniques 11
- Software Reliability and Analysis Research 4
- Co-authors
- Ben Hardekopf (11 shared papers)Jared Roesch (2 shared papers)Vineeth Kashyap (2 shared papers)John Sarracino (1 shared paper)Ben Wiedermann (1 shared paper)Sitao Chen (1 shared paper)Alex Groce (1 shared paper)Phillip Conrad (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (2 papers)2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (1 paper)International Conference on Software Engineering (1 paper)SSRN Electronic Journal (1 paper)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Kyle Dewey
14 papers receiving 247 citations
Peers
Comparison fields: 5 of 30
- Software 165
- Signal Processing 98
- Information Systems 149
- Hardware and Architecture 26
- Artificial Intelligence 101
Countries citing papers authored by Kyle Dewey
This map shows the geographic impact of Kyle Dewey'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 Kyle Dewey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Dewey more than expected).
Fields of papers citing papers by Kyle Dewey
This network shows the impact of papers produced by Kyle Dewey. 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 Kyle Dewey. The network helps show where Kyle Dewey may publish in the future.
Co-authors
The 14 scholars most cited alongside Kyle Dewey, 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 | 2014 | 104 | |
| 2 | 2015 | 51 | |
| 3 | 2014 | 33 | |
| 4 | 2021 | 25 | |
| 5 | 2019 | 14 | |
| 6 | 2023 | 7 | |
| 7 | 2015 | 5 | |
| 8 | 2015 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2017 | 4 | |
| 11 | 2015 | 2 | |
| 12 | 2013 | 1 | |
| 13 | 2019 | 1 | |
| 14 | Automated Black Box Generation of Structured Inputs for Use in Software Testing | 2017 | 1 |
| 15 | 2021 | 1 | |
| 16 | 2020 | 0 |
About Kyle Dewey
Kyle Dewey is a scholar working on Information Systems, Software, Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 16 papers that have together received 258 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (11 papers), Software Engineering Research (10 papers), Software Reliability and Analysis Research (4 papers), Formal Methods in Verification (4 papers), Logic, programming, and type systems (3 papers), Advanced Malware Detection Techniques (3 papers), Security and Verification in Computing (2 papers) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Software (165 citations), Signal Processing (98 citations), Information Systems (149 citations), Hardware and Architecture (26 citations) and Artificial Intelligence (101 citations). Kyle Dewey has collaborated with scholars based in United States and Canada. Frequent co-authors include Ben Hardekopf, Jared Roesch, Vineeth Kashyap, John Sarracino, Ben Wiedermann, Sitao Chen, Alex Groce, Phillip Conrad, Michelle Craig and Nhut Ho. Their work appears in journals such as Proceedings of the ACM on Programming Languages, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, International Conference on Software Engineering, SSRN Electronic Journal and eScholarship (California Digital Library).
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.