Jonathan Goodman

6.1k total citations · 1 hit paper
49 papers, 3.9k citations indexed

About

Jonathan Goodman is a scholar working on Computational Mechanics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Jonathan Goodman has authored 49 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 15 papers in Applied Mathematics and 10 papers in Mathematical Physics. Recurrent topics in Jonathan Goodman's work include Navier-Stokes equation solutions (12 papers), Computational Fluid Dynamics and Aerodynamics (12 papers) and Advanced Numerical Methods in Computational Mathematics (8 papers). Jonathan Goodman is often cited by papers focused on Navier-Stokes equation solutions (12 papers), Computational Fluid Dynamics and Aerodynamics (12 papers) and Advanced Numerical Methods in Computational Mathematics (8 papers). Jonathan Goodman collaborates with scholars based in United States, New Zealand and Canada. Jonathan Goodman's co-authors include Jonathan Weare, Alan D. Sokal, Randall J. LeVeque, Zhouping Xin, Thomas Y. Hou, Andrew J. Majda, Daniel N. Ostrov, Robert G. Edwards, Luis G. Reyna and Robert V. Kohn and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Nuclear Physics B.

In The Last Decade

Jonathan Goodman

49 papers receiving 3.5k citations

Hit Papers

Ensemble samplers with affine invariance 2010 2026 2015 2020 2010 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Goodman United States 25 1.3k 907 785 530 347 49 3.9k
E. A. Spiegel United States 42 1.9k 1.5× 1.9k 2.1× 271 0.3× 232 0.4× 228 0.7× 151 5.9k
C. David Levermore United States 36 615 0.5× 2.0k 2.2× 2.3k 2.9× 1.1k 2.1× 294 0.8× 81 4.9k
M. Bertero Italy 31 177 0.1× 1.2k 1.3× 433 0.6× 927 1.7× 137 0.4× 160 5.4k
V. I. Arnold Russia 2 854 0.7× 422 0.5× 418 0.5× 832 1.6× 573 1.7× 3 5.6k
G. C. Pomraning United States 27 431 0.3× 1.7k 1.8× 1.1k 1.5× 1.0k 1.9× 415 1.2× 216 5.0k
Jon Mathews United States 14 1.5k 1.1× 247 0.3× 175 0.2× 120 0.2× 689 2.0× 21 5.0k
Morris D. Friedman United States 7 540 0.4× 503 0.6× 535 0.7× 370 0.7× 420 1.2× 10 4.3k
Robert D. Richtmyer United States 13 707 0.5× 3.3k 3.7× 951 1.2× 488 0.9× 1.7k 5.0× 28 7.8k
H. K. Moffatt United Kingdom 30 3.3k 2.6× 2.6k 2.9× 429 0.5× 216 0.4× 691 2.0× 97 7.1k
Daniel W. Lozier United States 10 355 0.3× 232 0.3× 765 1.0× 382 0.7× 349 1.0× 30 3.8k

Countries citing papers authored by Jonathan Goodman

Since Specialization
Citations

This map shows the geographic impact of Jonathan Goodman'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 Jonathan Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Goodman more than expected).

Fields of papers citing papers by Jonathan Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Goodman. 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 Jonathan Goodman. The network helps show where Jonathan Goodman may publish in the future.

Co-authorship network of co-authors of Jonathan Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Goodman. A scholar is included among the top collaborators of Jonathan Goodman 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 Jonathan Goodman. Jonathan Goodman 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.
Cacciari, Licia P., Jennifer Kruger, Jonathan Goodman, David Budgett, & Chantale Dumoulin. (2019). Reliability and validity of intravaginal pressure measurements with a new intravaginal pressure device: The FemFit®. Neurourology and Urodynamics. 39(1). 253–260. 18 indexed citations
2.
Kruger, Jennifer, David Budgett, Jonathan Goodman, & Kari Bø. (2018). Can you train the pelvic floor muscles by contracting other related muscles?. Neurourology and Urodynamics. 38(2). 677–683. 15 indexed citations
3.
Berger, Marsha & Jonathan Goodman. (2017). Airburst-Generated Tsunamis. Pure and Applied Geophysics. 175(4). 1525–1543. 3 indexed citations
4.
Goodman, Jonathan & Daniel N. Ostrov. (2007). Balancing Small Transaction Costs with Loss of Optimal Allocation in Single and Multiple Stock Portfolios. 2 indexed citations
5.
Aguilar, José & Jonathan Goodman. (2005). Anisotropic mesh refinement for finite element methods based on error reduction. Journal of Computational and Applied Mathematics. 193(2). 497–515. 12 indexed citations
6.
Goodman, Jonathan, et al.. (2000). Anisotropic adaptive refinement algorithms for finite element methods. 2 indexed citations
7.
Goodman, Jonathan, Alexander Kurganov, & Philip Rosenau. (1999). Breakdown in Burgers-type equations with saturating dissipation fluxes. Nonlinearity. 12(2). 247–268. 20 indexed citations
8.
Goodman, Jonathan, Anders Szepessy, & Kevin Zumbrun. (1994). A Remark on the Stability of Viscous Shock Waves. SIAM Journal on Mathematical Analysis. 25(6). 1463–1467. 11 indexed citations
9.
Goodman, Jonathan. (1994). Stability of the kuramoto‐sivashinsky and related systems. Communications on Pure and Applied Mathematics. 47(3). 293–306. 119 indexed citations
10.
Edwards, Robert G., et al.. (1992). Multi-grid Monte Carlo (III). Two-dimensional O(4)-symmetric non-linear σ-model. Nuclear Physics B. 380(3). 621–664. 34 indexed citations
11.
Goodman, Jonathan & Zhouping Xin. (1992). Viscous limits for piecewise smooth solutions to systems of conservation laws. Archive for Rational Mechanics and Analysis. 121(3). 235–265. 117 indexed citations
12.
Edwards, Robert G., Jonathan Goodman, & Alan D. Sokal. (1991). Multi-grid Monte Carlo (II). Two-dimensional XY model. Nuclear Physics B. 354(2-3). 289–327. 50 indexed citations
13.
Craig, Walter & Jonathan Goodman. (1990). Linear dispersive equations of Airy type. Journal of Differential Equations. 87(1). 38–61. 34 indexed citations
14.
Goodman, Jonathan. (1989). Stability of viscous scalar shock fronts in several dimensions. Transactions of the American Mathematical Society. 311(2). 683–683. 44 indexed citations
15.
Goodman, Jonathan & Randall J. LeVeque. (1988). A Geometric Approach to High Resolution TVD Schemes. SIAM Journal on Numerical Analysis. 25(2). 268–284. 68 indexed citations
16.
Goodman, Jonathan. (1986). Nonlinear asymptotic stability of viscous shock profiles for conservation laws. Archive for Rational Mechanics and Analysis. 95(4). 325–344. 271 indexed citations
17.
Goodman, Jonathan & Andrew J. Majda. (1985). The validity of the modified equation for nonlinear shock waves. Journal of Computational Physics. 58(3). 336–348. 23 indexed citations
18.
Goodman, Jonathan & Randall J. LeVeque. (1985). On the Accuracy of Stable Schemes for 2D Scalar Conservation Laws. Mathematics of Computation. 45(171). 15–15. 29 indexed citations
19.
Goodman, Jonathan & William A. Massey. (1984). The non-ergodic Jackson network. Journal of Applied Probability. 21(4). 860–869. 34 indexed citations
20.
Embid, Pedro, Jonathan Goodman, & Andrew J. Majda. (1984). Multiple Steady States for 1-D Transonic Flow. SIAM Journal on Scientific and Statistical Computing. 5(1). 21–41. 77 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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