James V. Lambers
- Computational Theory and Mathematics top 5%
- Computational Mechanics top 10%
- Numerical Analysis top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Margot GerritsenPatrick GuidottiBradley MallisonP.M. JordanYunho KimLouis J. DurlofskyGene H. GolubKnut Sølna
- Topics
- Advanced Numerical Methods in Computational Mathematics (16 papers)Electromagnetic Simulation and Numerical Methods (16 papers)Advanced Mathematical Modeling in Engineering (14 papers)
- Journals
- Journal of Computational PhysicsBiophysical JournalComputers & Mathematics with Applications
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
James V. Lambers
45 papers receiving 338 citations
Peers
Comparison fields: 5 of 47
- Computational Theory and Mathematics 164
- Computational Mechanics 143
- Numerical Analysis 90
- Electrical and Electronic Engineering 80
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by James V. Lambers
This map shows the geographic impact of James V. Lambers'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 James V. Lambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James V. Lambers more than expected).
Fields of papers citing papers by James V. Lambers
This network shows the impact of papers produced by James V. Lambers. 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 James V. Lambers. The network helps show where James V. Lambers may publish in the future.
Co-authorship network of co-authors of James V. Lambers
This figure shows the co-authorship network connecting the top 25 collaborators of James V. Lambers. A scholar is included among the top collaborators of James V. Lambers 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 James V. Lambers. James V. Lambers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 21 | |
| 11 | 2 | |
| 12 | Solution of Time-Dependent PDE Through Component-wise Approximation of Matrix Functions | 5 |
| 13 | 2 | |
| 14 | 9 | |
| 15 | Implicitly Defined High-Order Operator Splittings for Parabolic and Hyperbolic Variable-Coefficient PDE Using Modified Moments | 6 |
| 16 | An Explicit, Stable, High-Order Spectral Method for the Wave Equation Based on Block Gaussian Quadrature | 13 |
| 17 | 4 | |
| 18 | Derivation of high-order spectral methods for time-dependent PDE using modified moments. | 10 |
| 19 | 12 | |
| 20 | 13 |
About James V. Lambers
James V. Lambers is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 47 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (16 papers), Electromagnetic Simulation and Numerical Methods (16 papers) and Advanced Mathematical Modeling in Engineering (14 papers). The work is most often cited by research in Numerical Analysis (90 citations), Computational Theory and Mathematics (164 citations) and Computational Mechanics (143 citations). James V. Lambers has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Margot Gerritsen, Patrick Guidotti, Bradley Mallison, P.M. Jordan, Yunho Kim, Louis J. Durlofsky, Gene H. Golub, Knut Sølna, Kristian Jessen and Ting Chen. Their work appears in journals such as Journal of Computational Physics, Biophysical Journal and Computers & Mathematics with 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.