Sigal Gottlieb

8.3k total citations · 4 hit papers
48 papers, 5.9k citations indexed

About

Sigal Gottlieb is a scholar working on Computational Mechanics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Sigal Gottlieb has authored 48 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Mechanics, 31 papers in Numerical Analysis and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Sigal Gottlieb's work include Numerical methods for differential equations (28 papers), Computational Fluid Dynamics and Aerodynamics (28 papers) and Advanced Numerical Methods in Computational Mathematics (27 papers). Sigal Gottlieb is often cited by papers focused on Numerical methods for differential equations (28 papers), Computational Fluid Dynamics and Aerodynamics (28 papers) and Advanced Numerical Methods in Computational Mathematics (27 papers). Sigal Gottlieb collaborates with scholars based in United States, Canada and France. Sigal Gottlieb's co-authors include Chi‐Wang Shu, Eitan Tadmor, David Gottlieb, David I. Ketcheson, Jan S. Hesthaven, Colin B. Macdonald, Cheng Wang, Steven J. Ruuth, Lee-Ad Gottlieb and Jae-Hun Jung and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.

In The Last Decade

Sigal Gottlieb

46 papers receiving 5.5k citations

Hit Papers

Strong Stability-Preserving High-Order Time Discretizatio... 1998 2026 2007 2016 2001 1998 2007 2011 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
Sigal Gottlieb United States 21 4.3k 1.7k 1.0k 618 521 48 5.9k
Giovanni Russo Italy 39 3.4k 0.8× 839 0.5× 1.7k 1.7× 242 0.4× 443 0.9× 194 5.2k
Mark H. Carpenter United States 38 5.6k 1.3× 1.5k 0.8× 835 0.8× 1.2k 1.9× 477 0.9× 108 6.6k
Steven J. Ruuth Canada 29 2.9k 0.7× 1.6k 0.9× 334 0.3× 230 0.4× 230 0.4× 58 4.2k
Shi Jin United States 43 3.8k 0.9× 1.1k 0.6× 2.5k 2.5× 366 0.6× 205 0.4× 254 6.8k
M. Y. Hussaini United States 18 2.8k 0.7× 1.6k 0.9× 601 0.6× 1.1k 1.8× 322 0.6× 41 6.4k
Thomas A. Zang United States 27 4.5k 1.1× 1.9k 1.1× 859 0.8× 899 1.5× 569 1.1× 67 8.9k
Michael Dumbser Italy 56 8.4k 1.9× 1.2k 0.7× 2.4k 2.4× 648 1.0× 784 1.5× 206 10.1k
D. A. Knoll United States 33 2.0k 0.5× 1.1k 0.6× 406 0.4× 703 1.1× 271 0.5× 138 4.2k
K. W. Morton United Kingdom 28 2.4k 0.6× 1.2k 0.7× 550 0.5× 272 0.4× 344 0.7× 79 5.2k
T. A. Zang United States 18 2.2k 0.5× 957 0.6× 371 0.4× 331 0.5× 278 0.5× 43 4.1k

Countries citing papers authored by Sigal Gottlieb

Since Specialization
Citations

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

Fields of papers citing papers by Sigal Gottlieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sigal Gottlieb

This figure shows the co-authorship network connecting the top 25 collaborators of Sigal Gottlieb. A scholar is included among the top collaborators of Sigal Gottlieb 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 Sigal Gottlieb. Sigal Gottlieb 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.
Gottlieb, Sigal, et al.. (2025). A review of high order strong stability preserving two-derivative explicit, implicit, and IMEX methods. Applied Mathematical Modelling. 149. 116270–116270.
3.
Gottlieb, Sigal, et al.. (2018). Strong Stability Preserving Integrating Factor Runge--Kutta Methods. SIAM Journal on Numerical Analysis. 56(6). 3276–3307. 35 indexed citations
4.
Gottlieb, Sigal & Gaurav Khanna. (2018). Supercomputing-Enabled Advances in Science and Engineering. Computing in Science & Engineering. 20(4). 8–9. 1 indexed citations
5.
Christlieb, Andrew, et al.. (2016). Explicit Strong Stability Preserving Multistage Two-Derivative Time-Stepping Schemes. Journal of Scientific Computing. 68(3). 914–942. 40 indexed citations
6.
Gottlieb, Sigal, et al.. (2015). Explicit strong stability preserving multistep Runge–Kutta methods. Mathematics of Computation. 86(304). 747–769. 22 indexed citations
7.
Gottlieb, Sigal, et al.. (2015). Optimal explicit strong stability preserving Runge–Kutta methods with high linear order and optimal nonlinear order. Mathematics of Computation. 84(296). 2743–2761. 9 indexed citations
8.
Chen, Yanlai, Sigal Gottlieb, & Yvon Maday. (2014). Parametric analytical preconditioning and its applications to the reduced collocation methods. Comptes Rendus Mathématique. 352(7-8). 661–666. 9 indexed citations
9.
Cheng, Kelong, Wenqiang Feng, Sigal Gottlieb, & Cheng Wang. (2014). A Fourier pseudospectral method for the “good” Boussinesq equation with second‐order temporal accuracy. Numerical Methods for Partial Differential Equations. 31(1). 202–224. 58 indexed citations
10.
Gottlieb, Sigal, et al.. (2012). Long Time Stability of a Classical Efficient Scheme for Two-dimensional Navier–Stokes Equations. SIAM Journal on Numerical Analysis. 50(1). 126–150. 63 indexed citations
11.
Chen, Yanlai & Sigal Gottlieb. (2012). Reduced Collocation Methods: Reduced Basis Methods in the Collocation Framework. Journal of Scientific Computing. 55(3). 718–737. 14 indexed citations
12.
Gottlieb, Sigal, David I. Ketcheson, & Chi‐Wang Shu. (2011). Strong Stability Preserving Runge-Kutta and Multistep Time Discretizations. WORLD SCIENTIFIC eBooks. 288 indexed citations breakdown →
13.
Ketcheson, David I., Sigal Gottlieb, & Colin B. Macdonald. (2011). Strong Stability Preserving Two-step Runge–Kutta Methods. SIAM Journal on Numerical Analysis. 49(6). 2618–2639. 50 indexed citations
14.
Gottlieb, Sigal, et al.. (2010). A Review of David Gottlieb’s Work on the Resolution of the Gibbs Phenomenon. Communications in Computational Physics. 9(3). 497–519. 32 indexed citations
15.
Gottlieb, Sigal, David I. Ketcheson, & Chi‐Wang Shu. (2008). High Order Strong Stability Preserving Time Discretizations. Journal of Scientific Computing. 38(3). 251–289. 264 indexed citations
16.
Macdonald, Colin B., Sigal Gottlieb, & Steven J. Ruuth. (2007). A Numerical Study of Diagonally Split Runge–Kutta Methods for PDEs with Discontinuities. Journal of Scientific Computing. 36(1). 89–112. 18 indexed citations
17.
Archibald, Richard, Anne Gelb, Sigal Gottlieb, & Jennifer K. Ryan. (2006). One-sided Post-processing for the Discontinuous Galerkin Method Using ENO Type Stencil Choosing and the Local Edge Detection Method. Journal of Scientific Computing. 28(2-3). 167–190. 5 indexed citations
18.
Gottlieb, David & Sigal Gottlieb. (2004). Spectral methods for compressible reactive flows. Comptes Rendus Mécanique. 333(1). 3–16. 7 indexed citations
19.
Gottlieb, Sigal. (1998). . Journal of Scientific Computing. 13(2). 173–183. 2 indexed citations
20.
Johnson, Charles R., Ilya M. Spitkovsky, & Sigal Gottlieb. (1994). Inequalities involving the numerical radius. Linear and Multilinear Algebra. 37(1-3). 13–24. 8 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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