Aaron Dutle
Impact in
- Computational Mathematics top 10%
- Software top 10%
Papers in
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- Formal Methods in Verification 15
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- Logic, programming, and type systems 5
- Target Tracking and Data Fusion in Sensor Networks 4
- Co-authors
- César Muñoz (23 shared papers)Anthony Narkawicz (14 shared papers)George Hagen (2 shared papers)James P. Chamberlain (2 shared papers)María Consiglio (2 shared papers)Joshua Cooper (1 shared paper)Éva Czabarka (2 shared papers)Péter L. Erdős (1 shared paper)
- Journals
- Lecture notes in computer science (12 papers)Formal Aspects of Computing (1 paper)Discrete Applied Mathematics (1 paper)Journal of Automated Reasoning (1 paper)Linear and Multilinear Algebra (1 paper)
- Partner nations
- United StatesFranceHungary
In The Last Decade
Aaron Dutle
33 papers receiving 354 citations
Peers
Comparison fields: 5 of 48
- Computational Mathematics 17
- Software 60
- Computational Theory and Mathematics 171
- Hardware and Architecture 47
- Aerospace Engineering 135
Countries citing papers authored by Aaron Dutle
This map shows the geographic impact of Aaron Dutle'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 Aaron Dutle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Dutle more than expected).
Fields of papers citing papers by Aaron Dutle
This network shows the impact of papers produced by Aaron Dutle. 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 Aaron Dutle. The network helps show where Aaron Dutle may publish in the future.
Co-authors
The 24 scholars most cited alongside Aaron Dutle, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | 2015 | 58 | |
| 3 | 2017 | 31 | |
| 4 | 2016 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2015 | 16 | |
| 7 | 2014 | 15 | |
| 8 | 2014 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2015 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2016 | 6 | |
| 15 | The MINERVA Software Development Process | 2017 | 5 |
| 16 | Sensor Uncertainty Mitigation and Dynamic Well Clear Volumes in DAIDALUS | 2018 | 5 |
| 17 | 2018 | 5 | |
| 18 | Spectra of hypergraphs | 2012 | 4 |
| 19 | 2018 | 4 | |
| 20 | 2018 | 4 |
About Aaron Dutle
Aaron Dutle is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Aerospace Engineering and Control and Systems Engineering, having authored 34 papers that have together received 370 indexed citations. Recurring topics across this work include Formal Methods in Verification (15 papers), Software Reliability and Analysis Research (7 papers), Software Testing and Debugging Techniques (7 papers), Air Traffic Management and Optimization (6 papers), Logic, programming, and type systems (5 papers), Safety Systems Engineering in Autonomy (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Computational Mathematics (17 citations), Software (60 citations), Computational Theory and Mathematics (171 citations), Hardware and Architecture (47 citations) and Aerospace Engineering (135 citations). Aaron Dutle has collaborated with scholars based in United States, France and Hungary. Frequent co-authors include César Muñoz, Anthony Narkawicz, George Hagen, James P. Chamberlain, María Consiglio, Joshua Cooper, Éva Czabarka, Péter L. Erdős, István Miklós and Ricky W. Butler. Their work appears in journals such as Lecture notes in computer science, Formal Aspects of Computing, Discrete Applied Mathematics, Journal of Automated Reasoning and Linear and Multilinear Algebra.
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.