Ilya Lashuk

561 total citations
11 papers, 359 citations indexed

About

Ilya Lashuk is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ilya Lashuk has authored 11 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 5 papers in Electrical and Electronic Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ilya Lashuk's work include Advanced Numerical Methods in Computational Mathematics (6 papers), Electromagnetic Simulation and Numerical Methods (4 papers) and Electromagnetic Scattering and Analysis (4 papers). Ilya Lashuk is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (6 papers), Electromagnetic Simulation and Numerical Methods (4 papers) and Electromagnetic Scattering and Analysis (4 papers). Ilya Lashuk collaborates with scholars based in United States and Canada. Ilya Lashuk's co-authors include Panayot S. Vassilevski, George Biros, Richard Vuduc, Aparna Chandramowlishwaran, Rahul S. Sampath, Andrew Knyazev, Denis Zorin, Harper Langston, Tuan-Anh Nguyen and Lexing Ying and has published in prestigious journals such as Communications of the ACM, SIAM Journal on Matrix Analysis and Applications and Numerical Linear Algebra with Applications.

In The Last Decade

Ilya Lashuk

11 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ilya Lashuk United States	9	127	121	103	71	61	11	359
Rahul S. Sampath United States	10	129 1.0×	161 1.3×	112 1.1×	51 0.7×	87 1.4×	17	494
Mark Stowell United States	7	64 0.5×	149 1.2×	128 1.2×	76 1.1×	31 0.5×	17	403
Takeshi Iwashita Japan	15	222 1.7×	128 1.1×	305 3.0×	171 2.4×	71 1.2×	89	583
Johann Dahm United States	8	41 0.3×	156 1.3×	70 0.7×	64 0.9×	52 0.9×	12	367
Artem Napov Belgium	9	144 1.1×	255 2.1×	98 1.0×	260 3.7×	41 0.7×	24	467
Dhairya Malhotra United States	7	93 0.7×	70 0.6×	66 0.6×	16 0.2×	47 0.8×	16	283
François-Henry Rouet United States	11	152 1.2×	72 0.6×	58 0.6×	134 1.9×	40 0.7×	20	386
Valérie Frayssé France	8	99 0.8×	90 0.7×	62 0.6×	145 2.0×	23 0.4×	13	330
Jean‐Sylvain Camier United States	7	53 0.4×	213 1.8×	79 0.8×	96 1.4×	44 0.7×	11	392
Katharina Kormann Germany	11	103 0.8×	328 2.7×	175 1.7×	92 1.3×	26 0.4×	39	639

Countries citing papers authored by Ilya Lashuk

Since Specialization

Citations

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

Fields of papers citing papers by Ilya Lashuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Lashuk

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

All Works

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11 of 11 papers shown

Adler, James H., Ilya Lashuk, & Scott MacLachlan. (2017). Composite‐grid multigrid for diffusion on the sphere. Numerical Linear Algebra with Applications. 25(1). 1 indexed citations

Lashuk, Ilya & Panayot S. Vassilevski. (2014). The Construction of the Coarse de Rham Complexes with Improved Approximation Properties. Computational Methods in Applied Mathematics. 14(2). 257–303. 20 indexed citations

Lashuk, Ilya, Aparna Chandramowlishwaran, Harper Langston, et al.. (2012). A massively parallel adaptive fast multipole method on heterogeneous architectures. Communications of the ACM. 55(5). 101–109. 49 indexed citations

Lashuk, Ilya & Panayot S. Vassilevski. (2012). Element agglomeration coarse Raviart–Thomas spaces with improved approximation properties. Numerical Linear Algebra with Applications. 19(2). 414–426. 19 indexed citations

Chandramowlishwaran, Aparna, Samuel Williams, Leonid Oliker, et al.. (2010). Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures. 1–12. 34 indexed citations

Rahimian, Abtin, Ilya Lashuk, Shravan Veerapaneni, et al.. (2010). Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures. 1–11. 90 indexed citations

Lashuk, Ilya, Aparna Chandramowlishwaran, Harper Langston, et al.. (2009). A massively parallel adaptive fast-multipole method on heterogeneous architectures. 1–12. 68 indexed citations

Sampath, Rahul S., et al.. (2008). Dendro: Parallel algorithms for multigrid and AMR methods on 2:1 balanced octrees. 1–12. 14 indexed citations

Lashuk, Ilya & Panayot S. Vassilevski. (2008). On some versions of the element agglomeration AMGe method. Numerical Linear Algebra with Applications. 15(7). 595–620. 19 indexed citations

10.

Knyazev, Andrew & Ilya Lashuk. (2007). Steepest Descent and Conjugate Gradient Methods with Variable Preconditioning. SIAM Journal on Matrix Analysis and Applications. 29(4). 1267–1280. 42 indexed citations

11.

Kafadar, Karen, et al.. (2004). A brief evaluation of statistical methods for detecting disease clusters in time and/or space. 3 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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