Brian Hassard
- Computer Networks and Communications top 1%
- Public Health, Environmental and Occupational Health top 1%
- Statistical and Nonlinear Physics top 0.5%
- Genetics top 5%
- Modeling and Simulation top 0.5%
- Co-authors
- Nicholas D. KazarinoffS. P. HastingsJ. M. GreenbergJonathan BellWilliam C. TroyIbrahim ElhenawyB. GebhartJyh-Horng Jeng
- Topics
- Nonlinear Dynamics and Pattern Formation (10 papers)stochastic dynamics and bifurcation (5 papers)Advanced Differential Equations and Dynamical Systems (5 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- United StatesEgyptTaiwan
In The Last Decade
Brian Hassard
24 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Networks and Communications 1.2k
- Public Health, Environmental and Occupational Health 1.1k
- Statistical and Nonlinear Physics 871
- Genetics 567
- Modeling and Simulation 371
Countries citing papers authored by Brian Hassard
This map shows the geographic impact of Brian Hassard'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 Brian Hassard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Hassard more than expected).
Fields of papers citing papers by Brian Hassard
This network shows the impact of papers produced by Brian Hassard. 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 Brian Hassard. The network helps show where Brian Hassard may publish in the future.
Co-authorship network of co-authors of Brian Hassard
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Hassard. A scholar is included among the top collaborators of Brian Hassard 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 Brian Hassard. Brian Hassard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Uniqueness of the Critical Rayleigh and Wave Numbers for the Inhomogeneous Planar Benard Problem | 1 |
| 2 | 3 | |
| 3 | 41 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 30 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | Theory and applications of Hopf bifurcationbreakdown → | 2061 |
| 16 | 7 | |
| 17 | 123 | |
| 18 | 117 | |
| 19 | 2 | |
| 20 | 8 |
About Brian Hassard
Brian Hassard is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology and Computer Networks and Communications, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (10 papers), stochastic dynamics and bifurcation (5 papers) and Advanced Differential Equations and Dynamical Systems (5 papers). The work is most often cited by research in Modeling and Simulation (371 citations), Statistical and Nonlinear Physics (871 citations) and Computer Networks and Communications (1.2k citations). Brian Hassard has collaborated with scholars based in United States, Egypt and Taiwan. Frequent co-authors include Nicholas D. Kazarinoff, S. P. Hastings, J. M. Greenberg, Jonathan Bell, William C. Troy, Ibrahim Elhenawy, B. Gebhart, Jyh-Horng Jeng, G. S. S. Ludford and Joseph C. Mollendorf. Their work appears in journals such as Journal of Fluid Mechanics, Mathematics of Computation and Journal of Theoretical Biology.
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.