Aaron Dutle
Impact in
- Computational Mathematics top 10%
- Tensor decomposition and applications
Papers in
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- Formal Methods in Verification 7
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- Air Traffic Management and Optimization 6
- Aerospace and Aviation Technology 3
- Space Exploration and Technology 2
- Co-authors
- César Muñoz (14 shared papers)Anthony Narkawicz (10 shared papers)George Hagen (2 shared papers)María Consiglio (2 shared papers)James P. Chamberlain (2 shared papers)Joshua Cooper (1 shared paper)Éva Czabarka (2 shared papers)Péter L. Erdős (1 shared paper)
- Journals
- Journal of Automated Reasoning (1 paper)Formal Aspects of Computing (1 paper)Discrete Applied Mathematics (1 paper)Lecture notes in computer science (2 papers)European Journal of Mathematics (1 paper)
- Partner nations
- United StatesHungaryFrance
In The Last Decade
Aaron Dutle
22 papers receiving 214 citations
Peers
Comparison fields: 5 of 42
- Computational Mathematics 17
- Software 18
- Aerospace Engineering 108
- Computational Theory and Mathematics 67
- Automotive Engineering 44
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 19 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 70 | |
| 2 | 2015 | 53 | |
| 3 | 2016 | 14 | |
| 4 | 2014 | 14 | |
| 5 | 2014 | 13 | |
| 6 | 2018 | 10 | |
| 7 | 2015 | 8 | |
| 8 | 2020 | 6 | |
| 9 | 2016 | 5 | |
| 10 | Spectra of hypergraphs | 2012 | 4 |
| 11 | 2018 | 4 | |
| 12 | 2020 | 4 | |
| 13 | Sensor Uncertainty Mitigation and Dynamic Well Clear Volumes in DAIDALUS | 2018 | 3 |
| 14 | Unmanned Aircraft Systems Minimum Operations Performance Standards End-to-End Verification and Validation (E2-V2) Simulation | 2017 | 3 |
| 15 | 2018 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 2 | |
| 18 | The MINERVA Software Development Process | 2017 | 1 |
| 19 | 2015 | 1 | |
| 20 | 2024 | 1 |
About Aaron Dutle
Aaron Dutle is a scholar working on Computational Theory and Mathematics, Aerospace Engineering, Artificial Intelligence, Software and Numerical Analysis, having authored 22 papers that have together received 223 indexed citations. Recurring topics across this work include Formal Methods in Verification (7 papers), Air Traffic Management and Optimization (6 papers), Software Reliability and Analysis Research (4 papers), Software Testing and Debugging Techniques (3 papers), Aerospace and Aviation Technology (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Space Exploration and Technology (2 papers) and Space exploration and regulation (2 papers). The work is most often cited by research in Computational Mathematics (17 citations), Software (18 citations), Aerospace Engineering (108 citations), Computational Theory and Mathematics (67 citations) and Automotive Engineering (44 citations). Aaron Dutle has collaborated with scholars based in United States, Hungary and France. Frequent co-authors include César Muñoz, Anthony Narkawicz, George Hagen, María Consiglio, James P. Chamberlain, Joshua Cooper, Éva Czabarka, Péter L. Erdős, István Miklós and François Bobot. Their work appears in journals such as Journal of Automated Reasoning, Formal Aspects of Computing, Discrete Applied Mathematics, Lecture notes in computer science and European Journal of Mathematics.
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.