Benjamin Cousins
Impact in
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- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
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- Computational Geometry and Mesh Generation
Papers in
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- Advanced Numerical Methods in Computational Mathematics 3
- Computational Fluid Dynamics and Aerodynamics 2
- Lattice Boltzmann Simulation Studies 1
- Fluid Dynamics and Vibration Analysis 1
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- Numerical methods for differential equations 1
- Co-authors
- Santosh Vempala (1 shared paper)Leo G. Rebholz (3 shared papers)Alexander Linke (2 shared papers)Sabine Le Borne (1 shared paper)Zhen Wang (1 shared paper)John Peebles (1 shared paper)Ran Libeskind-Hadas (1 shared paper)Anak Yodpinyanee (1 shared paper)
- Journals
- Applied Mathematics and Computation (1 paper)Numerical Methods for Partial Differential Equations (1 paper)Journal of Computational Physics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Benjamin Cousins
5 papers receiving 41 citations
Peers
Comparison fields: 5 of 28
- Statistics and Probability 13
- Computer Graphics and Computer-Aided Design 5
- Numerical Analysis 6
- Computational Mechanics 20
- Applied Mathematics 7
Countries citing papers authored by Benjamin Cousins
This map shows the geographic impact of Benjamin Cousins'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 Benjamin Cousins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Cousins more than expected).
Fields of papers citing papers by Benjamin Cousins
This network shows the impact of papers produced by Benjamin Cousins. 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 Benjamin Cousins. The network helps show where Benjamin Cousins may publish in the future.
Co-authors
The 8 scholars most cited alongside Benjamin Cousins, 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 | 16 | |
| 2 | 2012 | 12 | |
| 3 | 2011 | 7 | |
| 4 | HMC CS Technical Report CS-2011-1: Faster Dynamic Programming Algorithms for the Cophylogeny Reconstruction Problem | 2011 | 5 |
| 5 | 2010 | 2 |
About Benjamin Cousins
Benjamin Cousins is a scholar working on Computational Mechanics, Numerical Analysis, Artificial Intelligence, Applied Mathematics and Management Science and Operations Research, having authored 5 papers that have together received 42 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (3 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Numerical methods for differential equations (1 paper), Lattice Boltzmann Simulation Studies (1 paper), Point processes and geometric inequalities (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Fluid Dynamics and Vibration Analysis (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Statistics and Probability (13 citations), Computer Graphics and Computer-Aided Design (5 citations), Numerical Analysis (6 citations), Computational Mechanics (20 citations) and Applied Mathematics (7 citations). Benjamin Cousins has collaborated with scholars based in United States and Germany. Frequent co-authors include Santosh Vempala, Leo G. Rebholz, Alexander Linke, Sabine Le Borne, Zhen Wang, John Peebles, Ran Libeskind-Hadas and Anak Yodpinyanee. Their work appears in journals such as Applied Mathematics and Computation, Numerical Methods for Partial Differential Equations and Journal of Computational Physics.
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.