Lawrence Evans
Impact in
- Applied Mathematics top 0.5%
- Nonlinear Partial Differential Equations
- Navier-Stokes equation solutions
- Geometric Analysis and Curvature Flows
- Mathematical Physics top 1%
- Numerical methods in inverse problems
- Advanced Mathematical Physics Problems
Papers in
-
- Differential Equations and Numerical Methods 2
-
- Animal Behavior and Welfare Studies 1
- Journals
- Indiana University Mathematics Journal (5 papers)American Mathematical Society eBooks (1 paper)University of Minnesota Digital Conservancy (University of Minnesota) (1 paper)Graduate studies in mathematics (6 papers)Regional conference series in mathematics (2 papers)
- Partner nations
- United States
In The Last Decade
Lawrence Evans
13 papers receiving 2.9k citations
Lawrence Evans's Hit Papers
Peers
Comparison fields: 5 of 119
- Applied Mathematics 1.2k
- Mathematical Physics 856
- Modeling and Simulation 333
- Computational Theory and Mathematics 1.0k
- Numerical Analysis 313
Countries citing papers authored by Lawrence Evans
This map shows the geographic impact of Lawrence Evans'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 Lawrence Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Evans more than expected).
Fields of papers citing papers by Lawrence Evans
This network shows the impact of papers produced by Lawrence Evans. 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 Lawrence Evans. The network helps show where Lawrence Evans may publish in the future.
Co-authors
The 2 scholars most cited alongside Lawrence Evans, 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 | Partial Differential Equations Hit paper breakdown → | 2010 | 2118 |
| 2 | Weak Convergence Methods for Nonlinear Partial Differential Equations Hit paper breakdown → | 1990 | 531 |
| 3 | 2013 | 260 | |
| 4 | 1993 | 86 | |
| 5 | 1978 | 40 | |
| 6 | 1984 | 23 | |
| 7 | 1977 | 20 | |
| 8 | 1978 | 15 | |
| 9 | 2010 | 10 | |
| 10 | 2010 | 2 | |
| 11 | 2010 | 2 | |
| 12 | 2010 | 1 | |
| 13 | Troubleshooting swine reproductive failure | 1983 | 1 |
| 14 | 2010 | 0 | |
| 15 | 1990 | 0 |
About Lawrence Evans
Lawrence Evans is a scholar working on Numerical Analysis, Small Animals, Computer Networks and Communications, Statistical and Nonlinear Physics and Finance, having authored 15 papers that have together received 3.1k indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (2 papers), Nonlinear Photonic Systems (1 paper), Stochastic processes and financial applications (1 paper), Advanced Mathematical Modeling in Engineering (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper), Differential Equations and Boundary Problems (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Applied Mathematics (1.2k citations), Mathematical Physics (856 citations), Modeling and Simulation (333 citations), Computational Theory and Mathematics (1.0k citations) and Numerical Analysis (313 citations). Lawrence Evans has collaborated with scholars based in United States. Frequent co-authors include W. L. Singleton and John P. Hurtgen. Their work appears in journals such as Indiana University Mathematics Journal, American Mathematical Society eBooks, University of Minnesota Digital Conservancy (University of Minnesota), Graduate studies in mathematics and Regional conference series in mathematics.
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.