Jonathan D. Hauenstein
- Computational Theory and Mathematics top 0.5%
- Computational Mechanics top 2%
- Control and Systems Engineering top 5%
- Numerical Analysis top 5%
- Algebra and Number Theory top 5%
- Co-authors
- Andrew J. SommeseCharles W. WamplerDaniel J. BatesWenrui HaoDhagash MehtaBei HuFrank SottileChris Peterson
- Topics
- Polynomial and algebraic computation (46 papers)Advanced Numerical Analysis Techniques (39 papers)Commutative Algebra and Its Applications (17 papers)
- Journals
- The Journal of Chemical PhysicsPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- 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 Theory and Mathematics 613
- Computational Mechanics 432
- Control and Systems Engineering 205
- Numerical Analysis 168
- Algebra and Number Theory 164
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 of co-authors of Jonathan D. Hauenstein
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Hauenstein. A scholar is included among the top collaborators of Jonathan D. Hauenstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan D. Hauenstein. Jonathan D. Hauenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 28 | |
| 18 | 13 | |
| 19 | 30 | |
| 20 | 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) and Commutative Algebra and Its Applications (17 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.