James V. Lambers

511 total citations
47 papers, 356 citations indexed

About

James V. Lambers is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, James V. Lambers has authored 47 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 21 papers in Computational Mechanics and 16 papers in Electrical and Electronic Engineering. Recurrent topics in James V. Lambers's 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). James V. Lambers is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (16 papers), Electromagnetic Simulation and Numerical Methods (16 papers) and Advanced Mathematical Modeling in Engineering (14 papers). James V. Lambers collaborates with scholars based in United States, Netherlands and Italy. James V. Lambers's co-authors include Margot Gerritsen, Patrick Guidotti, Bradley Mallison, P.M. Jordan, Yunho Kim, Louis J. Durlofsky, Gene H. Golub, Kristian Jessen, Knut Sølna and Ting Chen and has published in prestigious journals such as Journal of Computational Physics, Biophysical Journal and Computers & Mathematics with Applications.

In The Last Decade

James V. Lambers

45 papers receiving 338 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James V. Lambers United States 12 164 143 90 80 56 47 356
Paul M. de Zeeuw Netherlands 10 143 0.9× 249 1.7× 86 1.0× 64 0.8× 117 2.1× 17 446
R. Wienands Germany 10 145 0.9× 293 2.0× 68 0.8× 66 0.8× 33 0.6× 14 354
F. Hermeline France 11 136 0.8× 449 3.1× 140 1.6× 87 1.1× 24 0.4× 24 606
Alexey Chernov Germany 11 129 0.8× 91 0.6× 55 0.6× 32 0.4× 10 0.2× 40 322
Michael Peters Switzerland 10 88 0.5× 90 0.6× 56 0.6× 44 0.6× 13 0.2× 19 326
Wei-Pai Tang United States 13 341 2.1× 281 2.0× 104 1.2× 54 0.7× 23 0.4× 22 500
Abdellah Chkifa France 6 112 0.7× 160 1.1× 94 1.0× 13 0.2× 21 0.4× 16 400
Jakob Zech Switzerland 9 66 0.4× 94 0.7× 55 0.6× 34 0.4× 18 0.3× 20 304
James M. Keiser United States 4 70 0.4× 126 0.9× 176 2.0× 46 0.6× 56 1.0× 4 332
Kamil S. Kazimierski Germany 8 57 0.3× 175 1.2× 50 0.6× 32 0.4× 39 0.7× 17 403

Countries citing papers authored by James V. Lambers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Drum, Chester Lee, James V. Lambers, & P.M. Jordan. (2024). On the application of Krylov subspace spectral methodologies to poroacoustic shock formation in an exponential class of inhomogeneous gases. Journal of Computational Physics. 509. 113054–113054. 1 indexed citations
2.
Lambers, James V., et al.. (2024). Convergence analysis of a Krylov subspace spectral method for the 1D wave equation in an inhomogeneous medium. ETNA - Electronic Transactions on Numerical Analysis. 60. 136–168. 1 indexed citations
3.
4.
Lambers, James V., et al.. (2023). Acoustic singular surfaces in an exponential class of inhomogeneous gases: A new numerical approach based on Krylov subspace spectral methodologies. International Journal of Non-Linear Mechanics. 156. 104506–104506. 3 indexed citations
5.
6.
Lambers, James V., et al.. (2017). Modeling of first-order photobleaching kinetics using Krylov subspace spectral methods. Computers & Mathematics with Applications. 75(6). 2153–2172. 1 indexed citations
7.
Lambers, James V., et al.. (2017). Solution of PDEs for First-Order Photobleaching Kinetics using Krylov Subspace Spectral Methods. Biophysical Journal. 112(3). 586a–586a. 1 indexed citations
8.
Lambers, James V., et al.. (2017). Explorations in Numerical Analysis. WORLD SCIENTIFIC eBooks. 13 indexed citations
9.
Lambers, James V., et al.. (2017). Modeling the diffusion of heat energy within composites of homogeneous materials using the uncertainty principle. Computational and Applied Mathematics. 37(3). 2566–2587. 4 indexed citations
10.
Lambers, James V., et al.. (2014). Solution of time-dependent PDE through rapid estimation of block Gaussian quadrature nodes. Linear Algebra and its Applications. 468. 233–259. 5 indexed citations
11.
Guidotti, Patrick, Yunho Kim, & James V. Lambers. (2013). Image Restoration with a New Class of Forward-Backward-Forward Diffusion Equations of Perona--Malik Type with Applications to Satellite Image Enhancement. SIAM Journal on Imaging Sciences. 6(3). 1416–1444. 21 indexed citations
12.
Lambers, James V.. (2012). Approximate diagonalization of variable-coefficient differential operators through similarity transformations. Computers & Mathematics with Applications. 64(8). 2575–2593. 2 indexed citations
13.
Lambers, James V.. (2011). Solution of Time-Dependent PDE Through Component-wise Approximation of Matrix Functions. Aquila Digital Community (University of Southern Mississippi). 5 indexed citations
14.
15.
Lambers, James V.. (2009). Krylov subspace spectral methods for the time-dependent Schrödinger equation with non-smooth potentials. Numerical Algorithms. 51(2). 239–280. 9 indexed citations
16.
Lambers, James V.. (2008). Implicitly Defined High-Order Operator Splittings for Parabolic and Hyperbolic Variable-Coefficient PDE Using Modified Moments. 6 indexed citations
17.
Guidotti, Patrick & James V. Lambers. (2008). Eigenvalue Characterization and Computation for the Laplacian on General 2-D Domains. Numerical Functional Analysis and Optimization. 29(5-6). 507–531. 4 indexed citations
18.
Lambers, James V.. (2007). Derivation of high-order spectral methods for time-dependent PDE using modified moments.. 28. 114–135. 10 indexed citations
19.
Guidotti, Patrick, James V. Lambers, & Knut Sølna. (2006). Analysis of Wave Propagation in 1D Inhomogeneous Media. Numerical Functional Analysis and Optimization. 27(1). 25–55. 12 indexed citations
20.
Gerritsen, Margot, Kristian Jessen, Bradley Mallison, & James V. Lambers. (2005). A Fully Adaptive Streamline Framework for the Challenging Simulation of Gas-Injection Processes. SPE Annual Technical Conference and Exhibition. 13 indexed citations

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.

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