Omar Lakkis

793 total citations
21 papers, 497 citations indexed

About

Omar Lakkis is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Omar Lakkis has authored 21 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 16 papers in Computational Theory and Mathematics and 5 papers in Mathematical Physics. Recurrent topics in Omar Lakkis's work include Advanced Mathematical Modeling in Engineering (16 papers), Advanced Numerical Methods in Computational Mathematics (14 papers) and Numerical methods in inverse problems (5 papers). Omar Lakkis is often cited by papers focused on Advanced Mathematical Modeling in Engineering (16 papers), Advanced Numerical Methods in Computational Mathematics (14 papers) and Numerical methods in inverse problems (5 papers). Omar Lakkis collaborates with scholars based in United Kingdom, Greece and United States. Omar Lakkis's co-authors include Charalambos Makridakis, Tristan Pryer, Ivan G. Graham, Robert Scheichl, Thomas Y. Hou, Anotida Madzvamuse, Chandrasekhar Venkataraman, Alan Demlow, Emmanuil H. Georgoulis and Georgios T. Kossioris 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

Omar Lakkis

21 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omar Lakkis United Kingdom 12 335 230 149 90 88 21 497
C. I. Christov United States 13 284 0.8× 79 0.3× 179 1.2× 105 1.2× 47 0.5× 29 697
Wilhelm Heinrichs Germany 15 369 1.1× 122 0.5× 120 0.8× 229 2.5× 77 0.9× 50 560
Bo Dong United States 10 630 1.9× 198 0.9× 178 1.2× 302 3.4× 204 2.3× 21 727
Do Y. Kwak South Korea 18 889 2.7× 337 1.5× 339 2.3× 199 2.2× 243 2.8× 88 1.1k
Cécile Piret United States 10 285 0.9× 54 0.2× 308 2.1× 173 1.9× 77 0.9× 19 604
Chuanmiao Chen China 12 255 0.8× 143 0.6× 125 0.8× 227 2.5× 97 1.1× 49 468
Edward J. Fuselier United States 12 209 0.6× 57 0.2× 160 1.1× 63 0.7× 38 0.4× 14 358
Paola Pietra Italy 13 587 1.8× 227 1.0× 184 1.2× 233 2.6× 289 3.3× 39 933
Yuhe Ren United Kingdom 6 351 1.0× 88 0.4× 62 0.4× 268 3.0× 35 0.4× 8 594
Claire Chainais-Hillairet France 15 323 1.0× 154 0.7× 26 0.2× 86 1.0× 35 0.4× 38 527

Countries citing papers authored by Omar Lakkis

Since Specialization
Citations

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

Fields of papers citing papers by Omar Lakkis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Lakkis

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Lakkis. A scholar is included among the top collaborators of Omar Lakkis 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 Omar Lakkis. Omar Lakkis 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.
Lakkis, Omar, et al.. (2024). Parallel two‐scale finite element implementation of a system with varying microstructure. GAMM-Mitteilungen. 47(4). 2 indexed citations
2.
Lakkis, Omar, et al.. (2021). A Saint-Venant model for overland flows with precipitation and recharge. Figshare. 3 indexed citations
3.
Lakkis, Omar, et al.. (2021). A least-squares Galerkin approach to gradient and Hessian recovery for nondivergence-form elliptic equations. IMA Journal of Numerical Analysis. 42(3). 2151–2189. 2 indexed citations
4.
Lakkis, Omar, et al.. (2016). Numerical simulation of flood inundation using a well-balanced kinetic scheme for the shallow water equations with bulk recharge and discharge. EGU General Assembly Conference Abstracts. 1 indexed citations
5.
Lakkis, Omar, Charalambos Makridakis, & Tristan Pryer. (2014). A comparison of duality and energy a posteriori estimates for $\mathrm {L}_{\infty }(0,T;\mathrm {L}_2(\varOmega ))$ in parabolic problems. Mathematics of Computation. 84(294). 1537–1569. 7 indexed citations
6.
Lakkis, Omar, Anotida Madzvamuse, & Chandrasekhar Venkataraman. (2013). Implicit--explicit timestepping with finite element approximation of reaction--diffusion systems on evolving domains. Sussex Research Online (University of Sussex). 35 indexed citations
7.
Georgoulis, Manolis K., et al.. (2013). A posteriori L (L2)-error bounds for finite element approximations to the wave equation. IMA Journal of Numerical Analysis. 33(4). 1245–1264. 19 indexed citations
8.
Lakkis, Omar & Tristan Pryer. (2013). A Finite Element Method for Nonlinear Elliptic Problems. SIAM Journal on Scientific Computing. 35(4). A2025–A2045. 36 indexed citations
9.
Graham, Ivan G., Thomas Y. Hou, Omar Lakkis, & Robert Scheichl. (2012). Numerical Analysis of Multiscale Problems. CERN Document Server (European Organization for Nuclear Research). 113 indexed citations
10.
Lakkis, Omar & Tristan Pryer. (2011). A nonvariational finite element method for fully nonlinear elliptic problems. arXiv (Cornell University). 2 indexed citations
11.
Lakkis, Omar & Tristan Pryer. (2011). Gradient recovery in adaptive finite-element methods for parabolic problems. IMA Journal of Numerical Analysis. 32(1). 246–278. 12 indexed citations
12.
Georgoulis, Emmanuil H., et al.. (2011). A Posteriori Error Control for Discontinuous Galerkin Methods for Parabolic Problems. SIAM Journal on Numerical Analysis. 49(2). 427–458. 30 indexed citations
13.
Lakkis, Omar & Tristan Pryer. (2011). Pure (University of Bath). 21 indexed citations
14.
Muntean, Adrian & Omar Lakkis. (2010). Rate of convergence for a Galerkin scheme approximating a two-scale reaction-diffusion system with nonlinear transmission condition. arXiv (Cornell University). 1008. 2 indexed citations
15.
Lakkis, Omar & Charalambos Makridakis. (2007). A posteriori error estimates for parabolic problems via elliptic reconstruction and duality. arXiv (Cornell University). 3 indexed citations
16.
Katsoulakis, Markos A., Georgios T. Kossioris, & Omar Lakkis. (2007). Noise regularization and computations for the 1-dimensional stochastic Allen–Cahn problem. Interfaces and Free Boundaries Mathematical Analysis Computation and Applications. 9(1). 1–30. 26 indexed citations
17.
Lakkis, Omar & Charalambos Makridakis. (2006). Elliptic reconstruction and a posteriori error estimates for fully discrete linear parabolic problems. Mathematics of Computation. 75(256). 1627–1658. 90 indexed citations
18.
Lakkis, Omar & Ricardo H. Nochetto. (2005). A Posteriori Error Analysis for the Mean Curvature Flow of Graphs. SIAM Journal on Numerical Analysis. 42(5). 1875–1898. 14 indexed citations
19.
Bänsch, Eberhard, Frank Haußer, Omar Lakkis, Bo Li, & Axel Voigt. (2003). Finite element method for epitaxial growth with attachment–detachment kinetics. Journal of Computational Physics. 194(2). 409–434. 38 indexed citations
20.
Lakkis, Omar. (1999). Existence of solutions for a class of semilinear polyharmonic equations with critical exponential growth. Advances in Differential Equations. 4(6). 11 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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