Peter Brune
Impact in
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- Numerical methods for differential equations
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- Advanced Mathematical Modeling in Engineering 2
- Matrix Theory and Algorithms 2
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- Advanced Optimization Algorithms Research 2
- Co-authors
- Matthew G. Knepley (3 shared papers)Barry Smith (2 shared papers)Xuemin Tu (1 shared paper)Björn Schmalfuß (2 shared papers)Dexuan Xie (1 shared paper)L. Ridgway Scott (1 shared paper)Yi Jiang (1 shared paper)Dave Anderson (1 shared paper)
- Journals
- SIAM Journal on Scientific Computing (1 paper)SIAM Review (1 paper)Communications on Pure & Applied Analysis (1 paper)npj Digital Medicine (1 paper)Stochastic Analysis and Applications (1 paper)
- Partner nations
- United StatesGermanyArgentina
In The Last Decade
Peter Brune
8 papers receiving 208 citations
Peers
Comparison fields: 5 of 72
- Numerical Analysis 32
- Computational Mechanics 91
- Health Informatics 5
- Computational Theory and Mathematics 58
- Computational Mathematics 2
Countries citing papers authored by Peter Brune
This map shows the geographic impact of Peter Brune'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 Peter Brune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Brune more than expected).
Fields of papers citing papers by Peter Brune
This network shows the impact of papers produced by Peter Brune. 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 Peter Brune. The network helps show where Peter Brune may publish in the future.
Co-authors
The 24 scholars most cited alongside Peter Brune, 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 | 2015 | 106 | |
| 2 | 2016 | 41 | |
| 3 | 2023 | 37 | |
| 4 | 2012 | 18 | |
| 5 | 2009 | 10 | |
| 6 | 2011 | 5 | |
| 7 | 2015 | 2 | |
| 8 | LOW-RANK QUASI-NEWTON UPDATES FOR ROBUST JACOBIAN LAGGING IN NEWTON METHODS | 2013 | 1 |
About Peter Brune
Peter Brune is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, Finance and Physical and Theoretical Chemistry, having authored 8 papers that have together received 220 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (2 papers), Advanced Mathematical Modeling in Engineering (2 papers), Stability and Controllability of Differential Equations (2 papers), Advanced Optimization Algorithms Research (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Matrix Theory and Algorithms (2 papers), Electrostatics and Colloid Interactions (2 papers) and Ferroelectric and Piezoelectric Materials (1 paper). The work is most often cited by research in Numerical Analysis (32 citations), Computational Mechanics (91 citations), Health Informatics (5 citations), Computational Theory and Mathematics (58 citations) and Computational Mathematics (2 citations). Peter Brune has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Matthew G. Knepley, Barry Smith, Xuemin Tu, Björn Schmalfuß, Dexuan Xie, L. Ridgway Scott, Yi Jiang, Dave Anderson, Elli Kanal and Fanyu Kong. Their work appears in journals such as SIAM Journal on Scientific Computing, SIAM Review, Communications on Pure & Applied Analysis, npj Digital Medicine and Stochastic Analysis and Applications.
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.