Jonathan D. Hauenstein
- Computational Mathematics top 2%
- Computational Theory and Mathematics top 0.5%
- Polynomial and algebraic computation 46
- Numerical Methods and Algorithms 10
- Algebra and Number Theory top 5%
- Commutative Algebra and Its Applications 17
- Numerical Analysis top 5%
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 5
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- Advanced Numerical Analysis Techniques 39
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- Robotic Mechanisms and Dynamics 16
- Dynamics and Control of Mechanical Systems 5
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- Nonlinear Dynamics and Pattern Formation 5
- Co-authors
- Andrew J. SommeseCharles W. WamplerDaniel J. BatesWenrui HaoDhagash MehtaBei HuFrank SottileChris Peterson
- Journals
- The Journal of Chemical Physics (2 papers)PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jonathan D. Hauenstein
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Computational Mathematics 65
- Computational Theory and Mathematics 613
- Algebra and Number Theory 164
- Numerical Analysis 168
- Modeling and Simulation 129
Countries citing papers authored by Jonathan D. Hauenstein
This map shows the geographic impact of Jonathan D. Hauenstein'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 Jonathan D. Hauenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Hauenstein more than expected).
Fields of papers citing papers by Jonathan D. Hauenstein
This network shows the impact of papers produced by Jonathan D. Hauenstein. 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 Jonathan D. Hauenstein. The network helps show where Jonathan D. Hauenstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan D. Hauenstein, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 1 | |
| 9 | 2019 | 19 | |
| 10 | 2019 | 11 | |
| 11 | 2017 | 6 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 6 | |
| 14 | 2015 | 4 | |
| 15 | 2015 | 5 | |
| 16 | 2015 | 2 | |
| 17 | 2013 | 28 | |
| 18 | 2013 | 13 | |
| 19 | 2013 | 30 | |
| 20 | 2012 | 24 |
About Jonathan D. Hauenstein
Jonathan D. Hauenstein is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Computational Mathematics, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (46 papers), Advanced Numerical Analysis Techniques (39 papers), Commutative Algebra and Its Applications (17 papers), Robotic Mechanisms and Dynamics (16 papers), Numerical Methods and Algorithms (10 papers), Dynamics and Control of Mechanical Systems (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and Mathematical Biology Tumor Growth (5 papers). The work is most often cited by research in Computational Mathematics (65 citations), Computational Theory and Mathematics (613 citations) and Algebra and Number Theory (164 citations). Jonathan D. Hauenstein has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Andrew J. Sommese, Charles W. Wampler, Daniel J. Bates, Wenrui Hao, Dhagash Mehta, Bei Hu, Frank Sottile, Chris Peterson, Michael Kästner and Yong‐Tao Zhang. Their work appears in journals such as The Journal of Chemical Physics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.