Ignacio Tomaš

631 total citations
16 papers, 443 citations indexed

About

Ignacio Tomaš is a scholar working on Computational Mechanics, Biomedical Engineering and Numerical Analysis. According to data from OpenAlex, Ignacio Tomaš has authored 16 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 5 papers in Biomedical Engineering and 4 papers in Numerical Analysis. Recurrent topics in Ignacio Tomaš's work include Computational Fluid Dynamics and Aerodynamics (8 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Ignacio Tomaš is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (8 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Ignacio Tomaš collaborates with scholars based in United States, Germany and Argentina. Ignacio Tomaš's co-authors include Ricardo H. Nochetto, Abner J. Salgado, Jean‐Luc Guermond, Bojan Popov, Ravi G. Patel, Nathaniel Trask, Myoungkyu Lee, Eric C. Cyr, Mitchell Wood and Matthias Maier and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Magnetics.

In The Last Decade

Ignacio Tomaš

15 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ignacio Tomaš United States	8	280	105	70	53	50	16	443
Andrew T. Barker United States	8	295 1.1×	45 0.4×	48 0.7×	16 0.3×	47 0.9×	19	485
Juntao Huang China	13	347 1.2×	43 0.4×	31 0.4×	34 0.6×	109 2.2×	46	498
Suzanne M. Shontz United States	13	331 1.2×	25 0.2×	34 0.5×	46 0.9×	29 0.6×	35	639
Will Pazner United States	11	389 1.4×	51 0.5×	22 0.3×	17 0.3×	124 2.5×	28	572
Jakub Červený United States	5	244 0.9×	26 0.2×	28 0.4×	29 0.5×	36 0.7×	6	458
Vladimir Tomov United States	10	355 1.3×	30 0.3×	17 0.2×	23 0.4×	65 1.3×	24	544
Xiaoxiao Zheng China	16	84 0.3×	203 1.9×	75 1.1×	185 3.5×	33 0.7×	44	568
Michael L. Frankel United States	14	581 2.1×	73 0.7×	37 0.5×	75 1.4×	26 0.5×	45	824
Mario De Florio United States	12	91 0.3×	273 2.6×	29 0.4×	42 0.8×	29 0.6×	19	460

Countries citing papers authored by Ignacio Tomaš

Since Specialization

Citations

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

Fields of papers citing papers by Ignacio Tomaš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Tomaš

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

All Works

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16 of 16 papers shown

Nazarov, Murtazo, et al.. (2024). A structure preserving numerical method for the ideal compressible MHD system. Journal of Computational Physics. 508. 113009–113009. 2 indexed citations

Guermond, Jean‐Luc, et al.. (2024). First-Order Greedy Invariant-Domain Preserving Approximation for Hyperbolic Problems: Scalar Conservation Laws, and p-System. Journal of Scientific Computing. 100(2).

Maier, Matthias, John N. Shadid, & Ignacio Tomaš. (2023). Structure-Preserving Finite-Element Schemes for the Euler-Poisson Equations. Communications in Computational Physics. 33(3). 647–691. 4 indexed citations

Chan, Jesse, et al.. (2022). A positivity preserving strategy for entropy stable discontinuous Galerkin discretizations of the compressible Euler and Navier-Stokes equations. Journal of Computational Physics. 475. 111850–111850. 17 indexed citations

Patel, Ravi G., Nathaniel Trask, Mitchell Wood, et al.. (2021). Thermodynamically consistent physics-informed neural networks for hyperbolic systems.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations

Patel, Ravi G., Nathaniel Trask, Mitchell Wood, et al.. (2021). Thermodynamically consistent physics-informed neural networks for hyperbolic systems. Journal of Computational Physics. 449. 110754–110754. 103 indexed citations

Arndt, Daniel, Wolfgang Bangerth, Bruno Blais, et al.. (2020). The deal.II library, Version 9.2. Journal of Numerical Mathematics. 28(3). 131–146. 120 indexed citations

Guermond, Jean‐Luc, Matthias Maier, Bojan Popov, & Ignacio Tomaš. (2020). Second-order invariant domain preserving approximation of the compressible Navier–Stokes equations. Computer Methods in Applied Mechanics and Engineering. 375. 113608–113608. 24 indexed citations

Maier, Matthias & Ignacio Tomaš. (2020). tamiko/step-69: step-69 v20200305. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

10.

Kuzmin, Dmitri, et al.. (2020). Matrix-free subcell residual distribution for Bernstein finite elements: Monolithic limiting. Computers & Fluids. 200. 104451–104451. 8 indexed citations

11.

Guermond, Jean‐Luc, Bojan Popov, & Ignacio Tomaš. (2018). Invariant domain preserving discretization-independent schemes and convex limiting for hyperbolic systems. Computer Methods in Applied Mechanics and Engineering. 347. 143–175. 58 indexed citations

12.

Nore, Caroline, et al.. (2017). Study of Magnetoconvection Impact on a Coil Cooling by Ferrofluid with a Spectral/Finite-Element Method. IEEE Transactions on Magnetics. 54(3). 1–4. 6 indexed citations

13.

Nochetto, Ricardo H., Abner J. Salgado, & Ignacio Tomaš. (2016). A diffuse interface model for two-phase ferrofluid flows. Computer Methods in Applied Mechanics and Engineering. 309. 497–531. 66 indexed citations

14.

Tomaš, Ignacio, Adrián P. Cisilino, & Patricia M. Frontini. (2014). Una implementación implícita del modelo viscoplástico de Arruda-Boyce. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 31(3). 171–181. 3 indexed citations

15.

Nochetto, Ricardo H., Abner J. Salgado, & Ignacio Tomaš. (2013). The Micropolar Navier–Stokes equations: A priori error analysis. Mathematical Models and Methods in Applied Sciences. 24(7). 1237–1264. 21 indexed citations

16.

Tomaš, Ignacio, Adrián P. Cisilino, & Patricia M. Frontini. (2008). Accurate, Efficient and Robust Explicit and Implicit Integration Schemes for the Arruda-Boyce Viscoplastic Model. 1003–1042. 6 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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