Eric de Sturler

3.3k total citations
51 papers, 2.0k citations indexed

About

Eric de Sturler is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Eric de Sturler has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 17 papers in Computational Mechanics and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Eric de Sturler's work include Matrix Theory and Algorithms (24 papers), Electromagnetic Scattering and Analysis (10 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). Eric de Sturler is often cited by papers focused on Matrix Theory and Algorithms (24 papers), Electromagnetic Scattering and Analysis (10 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). Eric de Sturler collaborates with scholars based in United States, United Kingdom and Switzerland. Eric de Sturler's co-authors include Alla Sheffer, Stephen P. Long, Xin-Guang Zhu, Gláucio H. Paulino, Jörg Liesen, Shun Wang, Michael L. Parks, D. D. Johnson, Spandan Maiti and Xin‐Guang Zhu and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Eric de Sturler

48 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric de Sturler United States	20	756	717	466	370	344	51	2.0k
Stefan Vandewalle Belgium	30	925 1.2×	695 1.0×	353 0.8×	26 0.1×	208 0.6×	126	2.8k
Ridgway Scott United States	21	1.3k 1.8×	706 1.0×	64 0.1×	161 0.4×	158 0.5×	56	2.1k
Mario A. Storti Argentina	20	772 1.0×	100 0.1×	99 0.2×	48 0.1×	22 0.1×	129	1.6k
Mark Tygert United States	15	598 0.8×	405 0.6×	344 0.7×	75 0.2×	15 0.0×	29	1.7k
H. Martin Bücker Germany	20	222 0.3×	172 0.2×	29 0.1×	172 0.5×	166 0.5×	155	1.8k
Ned Anderson United States	6	300 0.4×	244 0.3×	134 0.3×	46 0.1×	11 0.0×	11	1.5k
Michael Dellnitz Germany	27	214 0.3×	529 0.7×	54 0.1×	154 0.4×	7 0.0×	88	2.3k
R. E. Miles Australia	25	82 0.1×	102 0.1×	82 0.2×	153 0.4×	86 0.3×	52	2.0k
Robert M. Kirby United States	23	952 1.3×	174 0.2×	56 0.1×	25 0.1×	9 0.0×	70	1.8k
Ralph Byers United States	27	192 0.3×	1.3k 1.7×	173 0.4×	27 0.1×	197 0.6×	59	2.2k

Countries citing papers authored by Eric de Sturler

Since Specialization

Citations

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

Fields of papers citing papers by Eric de Sturler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric de Sturler. 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 Eric de Sturler. The network helps show where Eric de Sturler may publish in the future.

Co-authorship network of co-authors of Eric de Sturler

This figure shows the co-authorship network connecting the top 25 collaborators of Eric de Sturler. A scholar is included among the top collaborators of Eric de Sturler 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 Eric de Sturler. Eric de Sturler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kilmer, Misha E., et al.. (2025). Parametric level-sets enhanced to improve reconstruction (PaLEnTIR). Inverse Problems. 41(2). 25004–25004.

Sturler, Eric de, et al.. (2025). Stopping Criteria for the Conjugate Gradient Algorithm in High-Order Finite Element Methods. SIAM Journal on Scientific Computing. 47(1). A238–A267.

Saibaba, Arvind K., et al.. (2023). A computational framework for edge-preserving regularization in dynamic inverse problems. ETNA - Electronic Transactions on Numerical Analysis. 58. 486–516. 10 indexed citations

Saibaba, Arvind K., et al.. (2021). Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems. Journal of Computational Physics. 440. 110391–110391. 2 indexed citations

Sturler, Eric de, et al.. (2021). Preconditioning Parametrized Linear Systems. SIAM Journal on Scientific Computing. 43(3). A2242–A2267. 3 indexed citations

Derlaga, Joseph M., et al.. (2016). Improved Functional-Based Error Estimation and Adaptation without Adjoints. 46th AIAA Fluid Dynamics Conference. 9 indexed citations

Wang, Shun & Eric de Sturler. (2009). Multilevel sparse approximate inverse preconditioners for adaptive mesh refinement. Linear Algebra and its Applications. 431(3-4). 409–426. 4 indexed citations

Sturler, Eric de, Gláucio H. Paulino, & Shun Wang. (2008). Topology optimization with adaptive mesh refinement. VTechWorks (Virginia Tech). 3(1). 49–53. 22 indexed citations

Zhu, Xin-Guang, Eric de Sturler, & Stephen P. Long. (2007). Optimizing the Distribution of Resources between Enzymes of Carbon Metabolism Can Dramatically Increase Photosynthetic Rate: A Numerical Simulation Using an Evolutionary Algorithm. PLANT PHYSIOLOGY. 145(2). 513–526. 307 indexed citations

10.

Sturler, Eric de, et al.. (2006). Probing methods for saddle-point problems.. 22. 163–183. 5 indexed citations

11.

Sturler, Eric de & Jörg Liesen. (2006). Block-diagonal and constraint preconditioners for nonsymmetric indefinite linear systems. DepositOnce. 23 indexed citations

12.

Zhu, Xin‐Guang, Govind Jee, Neil R. Baker, et al.. (2005). Chlorophyll a fluorescence induction kinetics in leaves predicted from a model describing each discrete step of excitation energy and electron transfer associated with Photosystem II. Planta. 223(1). 114–133. 235 indexed citations

13.

Liesen, Jörg, et al.. (2001). Preconditioners for Indefinite Linear Systems Arising in Surface Parameterization.. IMR. 3. 3368–3368. 15 indexed citations

14.

Sheffer, Alla & Eric de Sturler. (2000). Surface Parameterization for Meshing by Triangulation Flattenin. IMR. 161–172. 49 indexed citations

15.

Sheffer, Alla & Eric de Sturler. (2000). Parameterization of CAD Surfaces for Meshing by Triangulation Flattening. Molecular and Cellular Endocrinology. 381(1-2). 291–301. 5 indexed citations

16.

Sturler, Eric de. (2000). Improving the Convergence of the Jacobi-Davidson Algorithm. 2 indexed citations

17.

Sturler, Eric de, et al.. (1998). Parallel iterative solvers for irregular sparse matrices in High Performance Fortran. Future Generation Computer Systems. 13(4-5). 315–325. 3 indexed citations

18.

Sturler, Eric de. (1996). Nested Krylov methods based on GCR. Journal of Computational and Applied Mathematics. 67(1). 15–41. 75 indexed citations

19.

Sturler, Eric de & H.A. van der Vorst. (1995). Reducing the effect of global communication in GMRES(m) and CG on parallel distributed memory computers. Applied Numerical Mathematics. 18(4). 441–459. 66 indexed citations

20.

Sturler, Eric de. (1994). Iterative methods on distributed memory computers. Research Repository (Delft University of Technology). 10 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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