John M. Neuberger
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Numerical Analysis top 5%
- Control and Systems Engineering
- Topics
- Nonlinear Partial Differential Equations (9 papers)Advanced Mathematical Modeling in Engineering (9 papers)Differential Equations and Numerical Methods (4 papers)
- Journals
- Journal of Computational and Applied MathematicsNonlinear AnalysisCommunications in Nonlinear Science and Numerical Simulation
- Partner nations
- United StatesColombia
In The Last Decade
John M. Neuberger
20 papers receiving 427 citations
Peers
Comparison fields: 5 of 58
- Applied Mathematics 362
- Computational Theory and Mathematics 312
- Mathematical Physics 175
- Numerical Analysis 123
- Control and Systems Engineering 48
Countries citing papers authored by John M. Neuberger
This map shows the geographic impact of John M. Neuberger'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 John M. Neuberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Neuberger more than expected).
Fields of papers citing papers by John M. Neuberger
This network shows the impact of papers produced by John M. Neuberger. 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 John M. Neuberger. The network helps show where John M. Neuberger may publish in the future.
Co-authorship network of co-authors of John M. Neuberger
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Neuberger. A scholar is included among the top collaborators of John M. Neuberger 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 John M. Neuberger. John M. Neuberger 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 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 20 | |
| 11 | 2 | |
| 12 | A minmax principle, index of the critical point, and existence of sign-changing solutions to elliptic boundary value problems | 87 |
| 13 | 5 | |
| 14 | 15 | |
| 15 | 204 | |
| 16 | 9 | |
| 17 | 20 | |
| 18 | 32 | |
| 19 | 55 | |
| 20 | 46 |
About John M. Neuberger
John M. Neuberger is a scholar working on Applied Mathematics, Numerical Analysis and Mathematical Physics, having authored 22 papers that have together received 596 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (9 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Differential Equations and Numerical Methods (4 papers). The work is most often cited by research in Applied Mathematics (362 citations), Numerical Analysis (123 citations) and Computational Theory and Mathematics (312 citations). John M. Neuberger has collaborated with scholars based in United States and Colombia. Frequent co-authors include Jorge Cossío, Alicia Castro, James W. Swift, David G. Costa, Zhonghai Ding and Lee Sheldon. Their work appears in journals such as Journal of Computational and Applied Mathematics, Nonlinear Analysis and Communications in Nonlinear Science and Numerical Simulation.
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.